[bug fix]

Q_n_A.md

@@ -35,7 +35,13 @@
     
     conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
     conda config --set show_channel_urls yes
-    conda install -c quantopian ta-lib=0.4.9
+   
+    wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
+    tar -xf ta-lib-0.4.0-src.tar.gz
+    cd ta-lib
+    ./configure --prefix=/usr
+    make -j
+    sudo make install
       
     若出现libta_lib.so.0 cannot open shared object file no such file or directory
     解决：
@@ -117,3 +123,13 @@
     ../configure --prefix=/usr --disable-profile --enable-add-ons --with-headers=/usr/include --with-binutils=/usr/bin
     make –j4
     make install
+
+12. pip 增加国内源
+
+
+    创建/home/trade/.pip目录
+    创建pip.conf文件，内容：
+    [global]
+    index-url=http://pypi.douban.com/simple
+    [install]
+    trusted-host=pypi.douban.com

centos_setup.md

@@ -10,8 +10,7 @@ conda create -name py37=python3.7
     wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
     tar xvf ta-lib-0.4.0-src.tar.gz
     cd ta-lib    
-    ./autogen.sh
-    ./configure
+    ./configure --prefix=/usr  
     make
     
     下面指令用用root权限运行，会把编译结果放在/usr/local/lib下
@@ -20,25 +19,27 @@ conda create -name py37=python3.7
     pip install ta-lib
 
     错误：    
-    
     ImportError: libta_lib.so.0: cannot open shared object file: No such file or directory
     
     解决：    
-    
     sudo find / -name libta_lib.so.0    
-    
     /home/ai/eco-ta/ta-lib/src/.libs/libta_lib.so.0    
-    
     /usr/local/lib/libta_lib.so.0    
-    
     vi /etc/profile    
-    
     添加    
-    
     export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib    
-    
     source /etc/profile
     
+    错误：
+    autogen.sh:行3: aclocal: 未找到命令
+    解决：
+    sudo yum -y install automake
+    
+    错误：
+    configure.in:13: error: possibly undefined macro: AC_PROG_LIBTOOL
+    解决：
+    sudo yum install libtool
+    
 单独编译ctp接口
 
     一般直接使用提供的vnctptd.so 和 vnctpmd.so 就可以了。

install.sh

@@ -21,6 +21,7 @@ function install-ta-lib()
     make install
     popd
 }
+
 function ta-lib-exists()
 {
     ta-lib-config --libs > /dev/null

requirements.txt

@@ -7,7 +7,7 @@ websocket-client
 peewee
 mongoengine
 numpy
-pandas>=0.24.2
+pandas
 matplotlib
 seaborn
 futu-api

run_celery.sh

@@ -0,0 +1 @@
+celery -A vnpy.task.celery_app worker --max-tasks-per-child 1 -l debug  > tests/celery/worker.log 2>tests/celery/worker-error.log &

vnpy/app/cta_strategy_pro/__init__.py

@@ -9,6 +9,7 @@ from .template import (
     Direction,
     Offset,
     Status,
+    Color,
     TickData,
     BarData,
     TradeData,

vnpy/app/cta_strategy_pro/template.py

@@ -11,7 +11,7 @@ from copy import copy
 from typing import Any, Callable
 from logging import INFO, ERROR
 from datetime import datetime
-from vnpy.trader.constant import Interval, Direction, Offset, Status, OrderType
+from vnpy.trader.constant import Interval, Direction, Offset, Status, OrderType, Color
 from vnpy.trader.object import BarData, TickData, OrderData, TradeData
 from vnpy.trader.utility import virtual, append_data, extract_vt_symbol, get_underlying_symbol
 
@@ -1421,11 +1421,11 @@ class CtaProFutureTemplate(CtaProTemplate):
         self.write_log(u'{} 订单信息:{}'.format(order.vt_orderid, old_order))
         old_order['traded'] = order.traded
         # order_time = old_order['order_time']
-        order_symbol = copy(old_order['symbol'])
+        order_vt_symbol = copy(old_order['vt_symbol'])
         order_volume = old_order['volume'] - old_order['traded']
         if order_volume <= 0:
             msg = u'{} {}{}重新平仓数量为{}，不再平仓' \
-                .format(self.strategy_name, order.vt_orderid, order_symbol, order_volume)
+                .format(self.strategy_name, order.vt_orderid, order_vt_symbol, order_volume)
             self.write_error(msg)
             self.send_wechat(msg)
             self.write_log(u'活动订单移除:{}'.format(order.vt_orderid))
@@ -1434,11 +1434,11 @@ class CtaProFutureTemplate(CtaProTemplate):
 
         order_price = old_order['price']
         order_type = old_order.get('order_type', OrderType.LIMIT)
-        order_retry = old_order['retry']
+        order_retry = old_order.get('retry', 0)
         grid = old_order.get('grid', None)
         if order_retry > 20:
             msg = u'{} 平仓撤单 {}/{}手， 重试平仓次数{}>20' \
-                .format(self.strategy_name, order_symbol, order_volume, order_retry)
+                .format(self.strategy_name, order_vt_symbol, order_volume, order_retry)
             self.write_error(msg)
             self.send_wechat(msg)
             if grid:
@@ -1458,25 +1458,25 @@ class CtaProFutureTemplate(CtaProTemplate):
         if old_order['direction'] == Direction.LONG and order_type == OrderType.FAK:
             self.write_log(u'FAK模式，需要重新发送cover委托.grid:{}'.format(grid.__dict__))
             # 更新委托平仓价
-            cover_tick = self.tick_dict.get(order_symbol, self.cur_mi_tick)
+            cover_tick = self.tick_dict.get(order_vt_symbol, self.cur_mi_tick)
             cover_price = max(cover_tick.ask_price_1, cover_tick.last_price, order_price) + self.price_tick
             # 不能超过涨停价
             if cover_tick.limit_up > 0 and cover_price > cover_tick.limit_up:
                 cover_price = cover_tick.limit_up
 
-            if self.is_upper_limit(order_symbol):
-                self.write_log(u'{}涨停，不做cover'.format(order_symbol))
+            if self.is_upper_limit(order_vt_symbol):
+                self.write_log(u'{}涨停，不做cover'.format(order_vt_symbol))
                 return
 
             # 发送委托
             vt_orderids = self.cover(price=cover_price,
                                      volume=order_volume,
-                                     vt_symbol=order_symbol,
+                                     vt_symbol=order_vt_symbol,
                                      order_type=OrderType.FAK,
                                      order_time=self.cur_datetime,
                                      grid=grid)
             if not vt_orderids:
-                self.write_error(u'重新提交{} {}手平空单{}失败'.format(order_symbol, order_volume, cover_price))
+                self.write_error(u'重新提交{} {}手平空单{}失败'.format(order_vt_symbol, order_volume, cover_price))
                 return
 
             for vt_orderid in vt_orderids:
@@ -1485,31 +1485,31 @@ class CtaProFutureTemplate(CtaProTemplate):
 
             self.gt.save()
             self.write_log(u'移除活动订单:{}'.format(order.vt_orderid))
-            self.active_orders.pop(order.vt_orderi, None)
+            self.active_orders.pop(order.vt_orderid, None)
 
         elif old_order['direction'] == Direction.SHORT and order_type == OrderType.FAK:
             self.write_log(u'FAK模式，需要重新发送sell委托.grid:{}'.format(grid.__dict__))
-            sell_tick = self.tick_dict.get(order_symbol, self.cur_mi_tick)
+            sell_tick = self.tick_dict.get(order_vt_symbol, self.cur_mi_tick)
             sell_price = min(sell_tick.bid_price_1, sell_tick.last_price, order_price) - self.price_tick
 
             # 不能超过跌停价
             if sell_tick.limit_down > 0 and sell_price < sell_tick.limit_down:
                 sell_price = sell_tick.limit_down
 
-            if self.is_lower_limit(order_symbol):
-                self.write_log(u'{}涨停，不做sell'.format(order_symbol))
+            if self.is_lower_limit(order_vt_symbol):
+                self.write_log(u'{}涨停，不做sell'.format(order_vt_symbol))
                 return
 
             # 发送委托
             vt_orderids = self.sell(price=sell_price,
                                     volume=order_volume,
-                                    vt_symbol=order_symbol,
+                                    vt_symbol=order_vt_symbol,
                                     order_type=OrderType.FAK,
                                     order_time=self.cur_datetime,
                                     grid=grid)
 
             if not vt_orderids:
-                self.write_error(u'重新提交{} {}手平多单{}失败'.format(order_symbol, order_volume, sell_price))
+                self.write_error(u'重新提交{} {}手平多单{}失败'.format(order_vt_symbol, order_volume, sell_price))
                 return
 
             for vt_orderid in vt_orderids:
@@ -1568,11 +1568,11 @@ class CtaProFutureTemplate(CtaProTemplate):
             over_seconds = (dt - order_time).total_seconds()
 
             # 只处理未成交的限价委托单
-            if order_status in [Status.NOTTRADED] and (order_type == OrderType.LIMIT or '.SPD' in order_vt_symbol):
+            if order_status in [Status.NOTTRADED,Status.SUBMITTING] and (order_type == OrderType.LIMIT or '.SPD' in order_vt_symbol):
                 if over_seconds > self.cancel_seconds or force:  # 超过设置的时间还未成交
                     self.write_log(u'超时{}秒未成交，取消委托单：vt_orderid:{},order:{}'
                                    .format(over_seconds, vt_orderid, order_info))
-                    order_info.update({'status': Status.CANCELING})
+                    order_info.update({'status': Status.CANCELLING})
                     self.active_orders.update({vt_orderid: order_info})
                     ret = self.cancel_order(str(vt_orderid))
                     if not ret:

vnpy/app/data_manager/__init__.py

@@ -0,0 +1,16 @@
+from pathlib import Path
+
+from vnpy.trader.app import BaseApp
+from .engine import APP_NAME, ManagerEngine
+
+
+class DataManagerApp(BaseApp):
+    """"""
+
+    app_name = APP_NAME
+    app_module = __module__
+    app_path = Path(__file__).parent
+    display_name = "数据管理"
+    engine_class = ManagerEngine
+    widget_name = "ManagerWidget"
+    icon_name = "manager.ico"

vnpy/app/data_manager/engine.py

@@ -0,0 +1,166 @@
+import csv
+from datetime import datetime
+from typing import List, Dict, Tuple
+
+from vnpy.trader.engine import BaseEngine, MainEngine, EventEngine
+from vnpy.trader.constant import Interval, Exchange
+from vnpy.trader.object import BarData
+from vnpy.trader.database import database_manager
+
+
+APP_NAME = "DataManager"
+
+
+class ManagerEngine(BaseEngine):
+    """"""
+
+    def __init__(
+        self,
+        main_engine: MainEngine,
+        event_engine: EventEngine,
+    ):
+        """"""
+        super().__init__(main_engine, event_engine, APP_NAME)
+
+    def import_data_from_csv(
+        self,
+        file_path: str,
+        symbol: str,
+        exchange: Exchange,
+        interval: Interval,
+        datetime_head: str,
+        open_head: str,
+        high_head: str,
+        low_head: str,
+        close_head: str,
+        volume_head: str,
+        open_interest_head: str,
+        datetime_format: str
+    ) -> Tuple:
+        """"""
+        with open(file_path, "rt") as f:
+            buf = [line.replace("\0", "") for line in f]
+
+        reader = csv.DictReader(buf, delimiter=",")
+
+        bars = []
+        start = None
+        count = 0
+
+        for item in reader:
+            if datetime_format:
+                dt = datetime.strptime(item[datetime_head], datetime_format)
+            else:
+                dt = datetime.fromisoformat(item[datetime_head])
+
+            open_interest = item.get(open_interest_head, 0)
+
+            bar = BarData(
+                symbol=symbol,
+                exchange=exchange,
+                datetime=dt,
+                interval=interval,
+                volume=item[volume_head],
+                open_price=item[open_head],
+                high_price=item[high_head],
+                low_price=item[low_head],
+                close_price=item[close_head],
+                open_interest=open_interest,
+                gateway_name="DB",
+            )
+
+            bars.append(bar)
+
+            # do some statistics
+            count += 1
+            if not start:
+                start = bar.datetime
+
+        # insert into database
+        database_manager.save_bar_data(bars)
+
+        end = bar.datetime
+        return start, end, count
+
+    def output_data_to_csv(
+        self,
+        file_path: str,
+        symbol: str,
+        exchange: Exchange,
+        interval: Interval,
+        start: datetime,
+        end: datetime
+    ) -> bool:
+        """"""
+        bars = self.load_bar_data(symbol, exchange, interval, start, end)
+
+        fieldnames = [
+            "symbol",
+            "exchange",
+            "datetime",
+            "open",
+            "high",
+            "low",
+            "close",
+            "volume",
+            "open_interest"
+        ]
+
+        try:
+            with open(file_path, "w") as f:
+                writer = csv.DictWriter(f, fieldnames=fieldnames, lineterminator="\n")
+                writer.writeheader()
+
+                for bar in bars:
+                    d = {
+                        "symbol": bar.symbol,
+                        "exchange": bar.exchange.value,
+                        "datetime": bar.datetime.strftime("%Y-%m-%d %H:%M:%S"),
+                        "open": bar.open_price,
+                        "high": bar.high_price,
+                        "low": bar.low_price,
+                        "close": bar.close_price,
+                        "volume": bar.volume,
+                        "open_interest": bar.open_interest,
+                    }
+                    writer.writerow(d)
+
+            return True
+        except PermissionError:
+            return False
+
+    def get_bar_data_available(self) -> List[Dict]:
+        """"""
+        data = database_manager.get_bar_data_statistics()
+
+        for d in data:
+            oldest_bar = database_manager.get_oldest_bar_data(
+                d["symbol"], Exchange(d["exchange"]), Interval(d["interval"])
+            )
+            d["start"] = oldest_bar.datetime
+
+            newest_bar = database_manager.get_newest_bar_data(
+                d["symbol"], Exchange(d["exchange"]), Interval(d["interval"])
+            )
+            d["end"] = newest_bar.datetime
+
+        return data
+
+    def load_bar_data(
+        self,
+        symbol: str,
+        exchange: Exchange,
+        interval: Interval,
+        start: datetime,
+        end: datetime
+    ) -> List[BarData]:
+        """"""
+        bars = database_manager.load_bar_data(
+            symbol,
+            exchange,
+            interval,
+            start,
+            end
+        )
+
+        return bars

vnpy/app/data_manager/ui/__init__.py

@@ -0,0 +1 @@
+from .widget import ManagerWidget

vnpy/app/data_manager/ui/widget.py

@@ -0,0 +1,422 @@
+from typing import Tuple, Dict
+from functools import partial
+from datetime import datetime
+
+from vnpy.trader.ui import QtWidgets, QtCore
+from vnpy.trader.engine import MainEngine, EventEngine
+from vnpy.trader.constant import Interval, Exchange
+
+from ..engine import APP_NAME, ManagerEngine
+
+
+class ManagerWidget(QtWidgets.QWidget):
+    """"""
+
+    def __init__(self, main_engine: MainEngine, event_engine: EventEngine):
+        """"""
+        super().__init__()
+
+        self.engine: ManagerEngine = main_engine.get_engine(APP_NAME)
+
+        self.tree_items: Dict[Tuple, QtWidgets.QTreeWidgetItem] = {}
+
+        self.init_ui()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("数据管理")
+
+        self.init_tree()
+        self.init_table()
+
+        refresh_button = QtWidgets.QPushButton("刷新")
+        refresh_button.clicked.connect(self.refresh_tree)
+
+        import_button = QtWidgets.QPushButton("导入数据")
+        import_button.clicked.connect(self.import_data)
+
+        hbox1 = QtWidgets.QHBoxLayout()
+        hbox1.addWidget(refresh_button)
+        hbox1.addStretch()
+        hbox1.addWidget(import_button)
+
+        hbox2 = QtWidgets.QHBoxLayout()
+        hbox2.addWidget(self.tree)
+        hbox2.addWidget(self.table)
+
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addLayout(hbox1)
+        vbox.addLayout(hbox2)
+
+        self.setLayout(vbox)
+
+    def init_tree(self) -> None:
+        """"""
+        labels = [
+            "数据",
+            "本地代码",
+            "代码",
+            "交易所",
+            "数据量",
+            "开始时间",
+            "结束时间",
+            "",
+            ""
+        ]
+
+        self.tree = QtWidgets.QTreeWidget()
+        self.tree.setColumnCount(len(labels))
+        self.tree.setHeaderLabels(labels)
+
+        root = QtWidgets.QTreeWidgetItem(self.tree)
+        root.setText(0, "K线数据")
+        root.setExpanded(True)
+
+        self.minute_child = QtWidgets.QTreeWidgetItem()
+        self.minute_child.setText(0, "分钟线")
+        root.addChild(self.minute_child)
+
+        self.hour_child = QtWidgets.QTreeWidgetItem()
+        self.hour_child.setText(0, "小时线")
+        root.addChild(self.hour_child)
+
+        self.daily_child = QtWidgets.QTreeWidgetItem()
+        self.daily_child.setText(0, "日线")
+        root.addChild(self.daily_child)
+
+    def init_table(self) -> None:
+        """"""
+        labels = [
+            "时间",
+            "开盘价",
+            "最高价",
+            "最低价",
+            "收盘价",
+            "成交量",
+            "持仓量"
+        ]
+
+        self.table = QtWidgets.QTableWidget()
+        self.table.setColumnCount(len(labels))
+        self.table.setHorizontalHeaderLabels(labels)
+        self.table.verticalHeader().setVisible(False)
+        self.table.horizontalHeader().setSectionResizeMode(
+            QtWidgets.QHeaderView.ResizeToContents
+        )
+
+    def refresh_tree(self) -> None:
+        """"""
+        data = self.engine.get_bar_data_available()
+
+        for d in data:
+            key = (d["symbol"], d["exchange"], d["interval"])
+            item = self.tree_items.get(key, None)
+
+            if not item:
+                item = QtWidgets.QTreeWidgetItem()
+                self.tree_items[key] = item
+
+                item.setText(1, ".".join([d["symbol"], d["exchange"]]))
+                item.setText(2, d["symbol"])
+                item.setText(3, d["exchange"])
+
+                if d["interval"] == Interval.MINUTE.value:
+                    self.minute_child.addChild(item)
+                elif d["interval"] == Interval.HOUR.value:
+                    self.hour_child.addChild(item)
+                else:
+                    self.daily_child.addChild(item)
+
+                output_button = QtWidgets.QPushButton("导出")
+                output_func = partial(
+                    self.output_data,
+                    d["symbol"],
+                    Exchange(d["exchange"]),
+                    Interval(d["interval"]),
+                    d["start"],
+                    d["end"]
+                )
+                output_button.clicked.connect(output_func)
+
+                show_button = QtWidgets.QPushButton("查看")
+                show_func = partial(
+                    self.show_data,
+                    d["symbol"],
+                    Exchange(d["exchange"]),
+                    Interval(d["interval"]),
+                    d["start"],
+                    d["end"]
+                )
+                show_button.clicked.connect(show_func)
+
+                self.tree.setItemWidget(item, 7, show_button)
+                self.tree.setItemWidget(item, 8, output_button)
+
+            item.setText(4, str(d["count"]))
+            item.setText(5, d["start"].strftime("%Y-%m-%d %H:%M:%S"))
+            item.setText(6, d["end"].strftime("%Y-%m-%d %H:%M:%S"))
+
+        self.minute_child.setExpanded(True)
+        self.hour_child.setExpanded(True)
+        self.daily_child.setExpanded(True)
+
+    def import_data(self) -> None:
+        """"""
+        dialog = ImportDialog()
+        n = dialog.exec_()
+        if n != dialog.Accepted:
+            return
+
+        file_path = dialog.file_edit.text()
+        symbol = dialog.symbol_edit.text()
+        exchange = dialog.exchange_combo.currentData()
+        interval = dialog.interval_combo.currentData()
+        datetime_head = dialog.datetime_edit.text()
+        open_head = dialog.open_edit.text()
+        low_head = dialog.low_edit.text()
+        high_head = dialog.high_edit.text()
+        close_head = dialog.close_edit.text()
+        volume_head = dialog.volume_edit.text()
+        open_interest_head = dialog.open_interest_edit.text()
+        datetime_format = dialog.format_edit.text()
+
+        start, end, count = self.engine.import_data_from_csv(
+            file_path,
+            symbol,
+            exchange,
+            interval,
+            datetime_head,
+            open_head,
+            high_head,
+            low_head,
+            close_head,
+            volume_head,
+            open_interest_head,
+            datetime_format
+        )
+
+        msg = f"\
+        CSV载入成功\n\
+        代码：{symbol}\n\
+        交易所：{exchange.value}\n\
+        周期：{interval.value}\n\
+        起始：{start}\n\
+        结束：{end}\n\
+        总数量：{count}\n\
+        "
+        QtWidgets.QMessageBox.information(self, "载入成功！", msg)
+
+    def output_data(
+        self,
+        symbol: str,
+        exchange: Exchange,
+        interval: Interval,
+        start: datetime,
+        end: datetime
+    ) -> None:
+        """"""
+        # Get output date range
+        dialog = DateRangeDialog(start, end)
+        n = dialog.exec_()
+        if n != dialog.Accepted:
+            return
+        start, end = dialog.get_date_range()
+
+        # Get output file path
+        path, _ = QtWidgets.QFileDialog.getSaveFileName(
+            self,
+            "导出数据",
+            "",
+            "CSV(*.csv)"
+        )
+        if not path:
+            return
+
+        result = self.engine.output_data_to_csv(
+            path,
+            symbol,
+            exchange,
+            interval,
+            start,
+            end
+        )
+
+        if not result:
+            QtWidgets.QMessageBox.warning(
+                self,
+                "导出失败！",
+                "该文件已在其他程序中打开，请关闭相关程序后再尝试导出数据。"
+            )
+
+    def show_data(
+        self,
+        symbol: str,
+        exchange: Exchange,
+        interval: Interval,
+        start: datetime,
+        end: datetime
+    ) -> None:
+        """"""
+        # Get output date range
+        dialog = DateRangeDialog(start, end)
+        n = dialog.exec_()
+        if n != dialog.Accepted:
+            return
+        start, end = dialog.get_date_range()
+
+        bars = self.engine.load_bar_data(
+            symbol,
+            exchange,
+            interval,
+            start,
+            end
+        )
+
+        self.table.setRowCount(0)
+        self.table.setRowCount(len(bars))
+
+        for row, bar in enumerate(bars):
+            self.table.setItem(row, 0, DataCell(bar.datetime.strftime("%Y-%m-%d %H:%M:%S")))
+            self.table.setItem(row, 1, DataCell(str(bar.open_price)))
+            self.table.setItem(row, 2, DataCell(str(bar.high_price)))
+            self.table.setItem(row, 3, DataCell(str(bar.low_price)))
+            self.table.setItem(row, 4, DataCell(str(bar.close_price)))
+            self.table.setItem(row, 5, DataCell(str(bar.volume)))
+            self.table.setItem(row, 6, DataCell(str(bar.open_interest)))
+
+    def show(self) -> None:
+        """"""
+        self.showMaximized()
+
+
+class DataCell(QtWidgets.QTableWidgetItem):
+    """"""
+
+    def __init__(self, text: str = ""):
+        super().__init__(text)
+
+        self.setTextAlignment(QtCore.Qt.AlignCenter)
+
+
+class DateRangeDialog(QtWidgets.QDialog):
+    """"""
+
+    def __init__(self, start: datetime, end: datetime, parent=None):
+        """"""
+        super().__init__(parent)
+
+        self.setWindowTitle("选择数据区间")
+
+        self.start_edit = QtWidgets.QDateEdit(
+            QtCore.QDate(
+                start.year,
+                start.month,
+                start.day
+            )
+        )
+        self.end_edit = QtWidgets.QDateEdit(
+            QtCore.QDate(
+                end.year,
+                end.month,
+                end.day
+            )
+        )
+
+        button = QtWidgets.QPushButton("确定")
+        button.clicked.connect(self.accept)
+
+        form = QtWidgets.QFormLayout()
+        form.addRow("开始时间", self.start_edit)
+        form.addRow("结束时间", self.end_edit)
+        form.addRow(button)
+
+        self.setLayout(form)
+
+    def get_date_range(self) -> Tuple[datetime, datetime]:
+        """"""
+        start = self.start_edit.date().toPyDate()
+        end = self.end_edit.date().toPyDate()
+        return start, end
+
+
+class ImportDialog(QtWidgets.QDialog):
+    """"""
+
+    def __init__(self, parent=None):
+        """"""
+        super().__init__()
+
+        self.setWindowTitle("从CSV文件导入数据")
+        self.setFixedWidth(300)
+
+        self.setWindowFlags(
+            (self.windowFlags() | QtCore.Qt.CustomizeWindowHint)
+            & ~QtCore.Qt.WindowMaximizeButtonHint)
+
+        file_button = QtWidgets.QPushButton("选择文件")
+        file_button.clicked.connect(self.select_file)
+
+        load_button = QtWidgets.QPushButton("确定")
+        load_button.clicked.connect(self.accept)
+
+        self.file_edit = QtWidgets.QLineEdit()
+        self.symbol_edit = QtWidgets.QLineEdit()
+
+        self.exchange_combo = QtWidgets.QComboBox()
+        for i in Exchange:
+            self.exchange_combo.addItem(str(i.name), i)
+
+        self.interval_combo = QtWidgets.QComboBox()
+        for i in Interval:
+            self.interval_combo.addItem(str(i.name), i)
+
+        self.datetime_edit = QtWidgets.QLineEdit("datetime")
+        self.open_edit = QtWidgets.QLineEdit("open")
+        self.high_edit = QtWidgets.QLineEdit("high")
+        self.low_edit = QtWidgets.QLineEdit("low")
+        self.close_edit = QtWidgets.QLineEdit("close")
+        self.volume_edit = QtWidgets.QLineEdit("volume")
+        self.open_interest_edit = QtWidgets.QLineEdit("open_interest")
+
+        self.format_edit = QtWidgets.QLineEdit("%Y-%m-%d %H:%M:%S")
+
+        info_label = QtWidgets.QLabel("合约信息")
+        info_label.setAlignment(QtCore.Qt.AlignCenter)
+
+        head_label = QtWidgets.QLabel("表头信息")
+        head_label.setAlignment(QtCore.Qt.AlignCenter)
+
+        format_label = QtWidgets.QLabel("格式信息")
+        format_label.setAlignment(QtCore.Qt.AlignCenter)
+
+        form = QtWidgets.QFormLayout()
+        form.addRow(file_button, self.file_edit)
+        form.addRow(QtWidgets.QLabel())
+        form.addRow(info_label)
+        form.addRow("代码", self.symbol_edit)
+        form.addRow("交易所", self.exchange_combo)
+        form.addRow("周期", self.interval_combo)
+        form.addRow(QtWidgets.QLabel())
+        form.addRow(head_label)
+        form.addRow("时间戳", self.datetime_edit)
+        form.addRow("开盘价", self.open_edit)
+        form.addRow("最高价", self.high_edit)
+        form.addRow("最低价", self.low_edit)
+        form.addRow("收盘价", self.close_edit)
+        form.addRow("成交量", self.volume_edit)
+        form.addRow("持仓量", self.open_interest_edit)
+        form.addRow(QtWidgets.QLabel())
+        form.addRow(format_label)
+        form.addRow("时间格式", self.format_edit)
+        form.addRow(QtWidgets.QLabel())
+        form.addRow(load_button)
+
+        self.setLayout(form)
+
+    def select_file(self):
+        """"""
+        result: str = QtWidgets.QFileDialog.getOpenFileName(
+            self, filter="CSV (*.csv)")
+        filename = result[0]
+        if filename:
+            self.file_edit.setText(filename)

vnpy/app/excel_rtd/__init__.py

@@ -0,0 +1,14 @@
+from pathlib import Path
+from vnpy.trader.app import BaseApp
+from .engine import RtdEngine, APP_NAME
+
+
+class ExcelRtdApp(BaseApp):
+    """"""
+    app_name = APP_NAME
+    app_module = __module__
+    app_path = Path(__file__).parent
+    display_name = "Excel RTD"
+    engine_class = RtdEngine
+    widget_name = "RtdManager"
+    icon_name = "rtd.ico"

vnpy/app/excel_rtd/engine.py

@@ -0,0 +1,80 @@
+""""""
+
+from typing import Set
+
+from vnpy.event import Event, EventEngine
+from vnpy.rpc import RpcServer
+from vnpy.trader.engine import BaseEngine, MainEngine
+from vnpy.trader.object import TickData, LogData, SubscribeRequest
+from vnpy.trader.event import EVENT_TICK
+
+
+APP_NAME = "ExcelRtd"
+
+EVENT_RTD_LOG = "eRtdLog"
+
+REP_ADDRESS = "tcp://*:9001"
+PUB_ADDRESS = "tcp://*:9002"
+
+
+class RtdEngine(BaseEngine):
+    """
+    The engine for managing RTD objects and data update.
+    """
+
+    def __init__(self, main_engine: MainEngine, event_engine: EventEngine):
+        """"""
+        super().__init__(main_engine, event_engine, APP_NAME)
+
+        self.server: RpcServer = RpcServer()
+        self.server.register(self.subscribe)
+        self.server.register(self.write_log)
+        self.server.start(REP_ADDRESS, PUB_ADDRESS)
+
+        self.subscribed: Set[str] = set()
+
+        self.register_event()
+
+    def register_event(self) -> None:
+        """
+        Register event handler.
+        """
+        self.event_engine.register(EVENT_TICK, self.process_tick_event)
+
+    def process_tick_event(self, event: Event) -> None:
+        """
+        Process tick event and update related RTD value.
+        """
+        tick: TickData = event.data
+        self.server.publish("tick", tick)
+
+    def write_log(self, msg: str) -> None:
+        """
+        Output RTD related log message.
+        """
+        log = LogData(msg=msg, gateway_name=APP_NAME)
+        event = Event(EVENT_RTD_LOG, log)
+        self.event_engine.put(event)
+
+    def subscribe(self, vt_symbol: str) -> None:
+        """
+        Subscribe tick data update.
+        """
+        contract = self.main_engine.get_contract(vt_symbol)
+        if not contract:
+            return
+
+        if vt_symbol in self.subscribed:
+            return
+        self.subscribed.add(vt_symbol)
+
+        req = SubscribeRequest(
+            contract.symbol,
+            contract.exchange
+        )
+        self.main_engine.subscribe(req, contract.gateway_name)
+
+    def close(self):
+        """"""
+        self.server.stop()
+        self.server.join()

vnpy/app/excel_rtd/ui/__init__.py

@@ -0,0 +1 @@
+from .widget import RtdManager

vnpy/app/excel_rtd/ui/widget.py

@@ -0,0 +1,79 @@
+from pathlib import Path
+
+from vnpy.event import EventEngine, Event
+from vnpy.trader.engine import MainEngine
+from vnpy.trader.ui import QtWidgets, QtCore
+from vnpy.trader.object import LogData
+from ..engine import APP_NAME, EVENT_RTD_LOG
+
+
+class RtdManager(QtWidgets.QWidget):
+    """"""
+    signal_log = QtCore.pyqtSignal(Event)
+
+    def __init__(self, main_engine: MainEngine, event_engine: EventEngine):
+        """"""
+        super().__init__()
+
+        self.main_engine = main_engine
+        self.event_engine = event_engine
+        self.rm_engine = main_engine.get_engine(APP_NAME)
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """
+        Init widget ui components.
+        """
+        self.setWindowTitle("Excel RTD")
+        self.resize(600, 600)
+
+        module_path = Path(__file__).parent.parent
+        client_path = module_path.joinpath("vnpy_rtd.py")
+        self.client_line = QtWidgets.QLineEdit(str(client_path))
+        self.client_line.setReadOnly(True)
+
+        copy_button = QtWidgets.QPushButton("复制")
+        copy_button.clicked.connect(self.copy_client_path)
+
+        self.log_monitor = QtWidgets.QTextEdit()
+        self.log_monitor.setReadOnly(True)
+
+        self.port_label = QtWidgets.QLabel(
+            "使用Socket端口：请求回应9001、广播推送9002"
+        )
+
+        hbox = QtWidgets.QHBoxLayout()
+        hbox.addWidget(self.client_line)
+        hbox.addWidget(copy_button)
+
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addLayout(hbox)
+        vbox.addWidget(self.log_monitor)
+        vbox.addWidget(self.port_label)
+        self.setLayout(vbox)
+
+    def register_event(self) -> None:
+        """
+        Register event handler.
+        """
+        self.signal_log.connect(self.process_log_event)
+
+        self.event_engine.register(EVENT_RTD_LOG, self.signal_log.emit)
+
+    def process_log_event(self, event: Event) -> None:
+        """
+        Show log message in monitor.
+        """
+        log: LogData = event.data
+
+        msg = f"{log.time}: {log.msg}"
+        self.log_monitor.append(msg)
+
+    def copy_client_path(self) -> None:
+        """
+        Copy path of client python file to clipboard.
+        """
+        self.client_line.selectAll()
+        self.client_line.copy()

vnpy/app/excel_rtd/vnpy_rtd.py

@@ -0,0 +1,114 @@
+""""""
+
+from typing import Dict, Set, Any
+from collections import defaultdict
+
+from pyxll import RTD, xl_func
+
+from vnpy.rpc import RpcClient
+from vnpy.trader.object import TickData
+
+
+REQ_ADDRESS = "tcp://localhost:9001"
+SUB_ADDRESS = "tcp://localhost:9002"
+
+
+rtd_client: "RtdClient" = None
+
+
+class ObjectRtd(RTD):
+    """
+    RTD proxy for object in Python.
+    """
+
+    def __init__(self, engine: "RtdClient", name: str, field: str):
+        """Constructor"""
+        super().__init__(value=0)
+
+        self.engine = engine
+        self.name = name
+        self.field = field
+
+    def connect(self) -> None:
+        """
+        Callback when excel cell rtd is connected.
+        """
+        self.engine.add_rtd(self)
+
+    def disconnect(self) -> None:
+        """
+        Callback when excel cell rtd is disconncted.
+        """
+        self.engine.remove_rtd(self)
+
+    def update(self, data: Any) -> None:
+        """
+        Update value in excel cell.
+        """
+        new_value = getattr(data, self.field, "N/A")
+
+        if new_value != self.value:
+            self.value = new_value
+
+
+class RtdClient(RpcClient):
+    """
+    The engine for managing RTD objects and data update.
+    """
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.rtds: Dict[str, Set[ObjectRtd]] = defaultdict(set)
+
+        global rtd_client
+        rtd_client = self
+
+    def callback(self, topic: str, data: Any) -> None:
+        """"""
+        tick: TickData = data
+        buf = self.rtds[tick.vt_symbol]
+
+        for rtd in buf:
+            rtd.update(tick)
+
+    def add_rtd(self, rtd: ObjectRtd) -> None:
+        """
+        Add a new RTD into the engine..
+        """
+        buf = self.rtds[rtd.name]
+        buf.add(rtd)
+        self.write_log(f"新增RTD连接：{rtd.name} {rtd.field}")
+
+        # Auto subscribe tick data
+        self.subscribe(rtd.name)
+
+    def remove_rtd(self, rtd: ObjectRtd) -> None:
+        """
+        Remove an existing RTD from the engine.
+        """
+        buf = self.rtds[self.name]
+        if self in buf:
+            buf.remove(rtd)
+            self.write_log(f"移除RTD连接：{rtd.name} {rtd.field}")
+
+
+def init_client() -> None:
+    """Initialize vnpy rtd client"""
+    global rtd_client
+    rtd_client = RtdClient()
+    rtd_client.subscribe_topic("")
+    rtd_client.start(REQ_ADDRESS, SUB_ADDRESS)
+
+
+@xl_func("string vt_symbol, string field: rtd")
+def rtd_tick_data(vt_symbol: str, field: str) -> ObjectRtd:
+    """
+    Return the streaming value of the tick data field.
+    """
+    if not rtd_client:
+        init_client()
+
+    rtd = ObjectRtd(rtd_client, vt_symbol, field)
+    return rtd

vnpy/app/option_master/__init__.py

@@ -0,0 +1,14 @@
+from pathlib import Path
+from vnpy.trader.app import BaseApp
+from .engine import OptionEngine, APP_NAME
+
+
+class OptionMasterApp(BaseApp):
+    """"""
+    app_name = APP_NAME
+    app_module = __module__
+    app_path = Path(__file__).parent
+    display_name = "期权交易"
+    engine_class = OptionEngine
+    widget_name = "OptionManager"
+    icon_name = "option.ico"

vnpy/app/option_master/algo.py

@@ -0,0 +1,342 @@
+from typing import TYPE_CHECKING, Set
+
+from vnpy.trader.object import TickData, OrderData, TradeData
+from vnpy.trader.constant import Direction, Offset
+from vnpy.trader.utility import round_to
+
+from .base import OptionData
+
+if TYPE_CHECKING:
+    from .engine import OptionAlgoEngine
+
+
+class ElectronicEyeAlgo:
+
+    def __init__(
+        self,
+        algo_engine: "OptionAlgoEngine",
+        option: OptionData
+    ):
+        """"""
+        self.algo_engine = algo_engine
+        self.option = option
+        self.underlying = option.underlying
+        self.pricetick = option.pricetick
+        self.vt_symbol = option.vt_symbol
+
+        # Parameters
+        self.pricing_active: bool = False
+        self.trading_active: bool = False
+
+        self.price_spread: float = 0.0
+        self.volatility_spread: float = 0.0
+
+        self.long_allowed = False
+        self.short_allowed = False
+
+        self.max_pos: int = 0
+        self.target_pos: int = 0
+        self.max_order_size: int = 0
+
+        # Variables
+        self.long_active_orderids: Set[str] = set()
+        self.short_active_orderids: Set[str] = set()
+
+        self.algo_spread: float = 0.0
+        self.ref_price: float = 0.0
+        self.algo_bid_price: float = 0.0
+        self.algo_ask_price: float = 0.0
+        self.pricing_impv: float = 0.0
+
+    def start_pricing(self, params: dict) -> bool:
+        """"""
+        if self.pricing_active:
+            return False
+
+        self.price_spread = params["price_spread"]
+        self.volatility_spread = params["volatility_spread"]
+
+        self.pricing_active = True
+        self.put_status_event()
+        self.calculate_price()
+        self.write_log("启动定价")
+
+        return True
+
+    def stop_pricing(self) -> bool:
+        """"""
+        if not self.pricing_active:
+            return False
+
+        if self.trading_active:
+            return False
+
+        self.pricing_active = False
+
+        # Clear parameters
+        self.algo_spread = 0.0
+        self.ref_price = 0.0
+        self.algo_bid_price = 0.0
+        self.algo_ask_price = 0.0
+        self.pricing_impv = 0.0
+
+        self.put_status_event()
+        self.put_pricing_event()
+        self.write_log("停止定价")
+
+        return True
+
+    def start_trading(self, params: dict) -> bool:
+        """"""
+        if self.trading_active:
+            return False
+
+        if not self.pricing_active:
+            self.write_log("请先启动定价")
+            return False
+
+        self.long_allowed = params["long_allowed"]
+        self.short_allowed = params["short_allowed"]
+        self.max_pos = params["max_pos"]
+        self.target_pos = params["target_pos"]
+        self.max_order_size = params["max_order_size"]
+
+        if not self.max_order_size:
+            self.write_log("请先设置最大委托数量")
+            return False
+
+        self.trading_active = True
+
+        self.put_trading_event()
+        self.put_status_event()
+        self.write_log("启动交易")
+
+        return True
+
+    def stop_trading(self) -> bool:
+        """"""
+        if not self.trading_active:
+            return False
+
+        self.trading_active = False
+
+        self.cancel_long()
+        self.cancel_short()
+
+        self.put_status_event()
+        self.put_trading_event()
+        self.write_log("停止交易")
+
+        return True
+
+    def on_underlying_tick(self, tick: TickData) -> None:
+        """"""
+        if self.pricing_active:
+            self.calculate_price()
+
+        if self.trading_active:
+            self.do_trading()
+
+    def on_option_tick(self, tick: TickData) -> None:
+        """"""
+        if self.trading_active:
+            self.do_trading()
+
+    def on_order(self, order: OrderData) -> None:
+        """"""
+        if not order.is_active():
+            if order.vt_orderid in self.long_active_orderids:
+                self.long_active_orderids.remove(order.vt_orderid)
+            elif order.vt_orderid in self.short_active_orderids:
+                self.short_active_orderids.remove(order.vt_orderid)
+
+    def on_trade(self, trade: TradeData) -> None:
+        """"""
+        self.write_log(f"委托成交，{trade.direction} {trade.offset} {trade.volume}@{trade.price}")
+
+    def on_timer(self) -> None:
+        """"""
+        if self.long_active_orderids:
+            self.cancel_long()
+
+        if self.short_active_orderids:
+            self.cancel_short()
+
+    def send_order(
+        self,
+        direction: Direction,
+        offset: Offset,
+        price: float,
+        volume: int
+    ) -> str:
+        """"""
+        vt_orderid = self.algo_engine.send_order(
+            self,
+            self.vt_symbol,
+            direction,
+            offset,
+            price,
+            volume
+        )
+
+        self.write_log(f"发出委托，{direction} {offset} {volume}@{price}")
+
+        return vt_orderid
+
+    def buy(self, price: float, volume: int) -> None:
+        """"""
+        vt_orderid = self.send_order(Direction.LONG, Offset.OPEN, price, volume)
+        self.long_active_orderids.add(vt_orderid)
+
+    def sell(self, price: float, volume: int) -> None:
+        """"""
+        self.send_order(Direction.SHORT, Offset.CLOSE, price, volume)
+
+    def short(self, price: float, volume: int) -> None:
+        """"""
+        vt_orderid = self.send_order(Direction.SHORT, Offset.OPEN, price, volume)
+        self.short_active_orderids.add(vt_orderid)
+
+    def cover(self, price: float, volume: int) -> None:
+        """"""
+        self.send_order(Direction.LONG, Offset.CLOSE, price, volume)
+
+    def send_long(self, price: float, volume: int) -> None:
+        """"""
+        option = self.option
+
+        if not option.short_pos:
+            self.buy(price, volume)
+        elif option.short_pos >= volume:
+            self.cover(price, volume)
+        else:
+            self.cover(price, option.short_pos)
+            self.buy(price, volume - option.short_pos)
+
+    def send_short(self, price: float, volume: int) -> None:
+        """"""
+        option = self.option
+
+        if not option.long_pos:
+            self.short(price, volume)
+        elif option.long_pos >= volume:
+            self.sell(price, volume)
+        else:
+            self.sell(price, option.long_pos)
+            self.short(price, volume - option.long_pos)
+
+        self.order_ask_price = price
+        self.order_ask_volume = volume
+
+    def cancel_order(self, vt_orderid: str) -> None:
+        """"""
+        self.algo_engine.cancel_order(vt_orderid)
+
+    def cancel_long(self) -> None:
+        """"""
+        for vt_orderid in self.long_active_orderids:
+            self.cancel_order(vt_orderid)
+
+    def cancel_short(self) -> None:
+        """"""
+        for vt_orderid in self.short_active_orderids:
+            self.cancel_order(vt_orderid)
+
+    def check_long_finished(self) -> bool:
+        """"""
+        if not self.long_active_orderids:
+            return True
+
+        return False
+
+    def check_short_finished(self) -> bool:
+        """"""
+        if not self.short_active_orderids:
+            return True
+
+        return False
+
+    def calculate_price(self) -> None:
+        """"""
+        option = self.option
+
+        # Get ref price
+        self.pricing_impv = option.pricing_impv
+        ref_price = option.calculate_ref_price()
+        self.ref_price = round_to(ref_price, self.pricetick)
+
+        # Calculate spread
+        algo_spread = max(
+            self.price_spread,
+            self.volatility_spread * option.theo_vega
+        )
+        half_spread = algo_spread / 2
+
+        # Calculate bid/ask
+        self.algo_bid_price = round_to(ref_price - half_spread, self.pricetick)
+        self.algo_ask_price = round_to(ref_price + half_spread, self.pricetick)
+        self.algo_spread = round_to(algo_spread, self.pricetick)
+
+        self.put_pricing_event()
+
+    def do_trading(self) -> None:
+        """"""
+        if self.long_allowed and self.check_long_finished():
+            self.snipe_long()
+
+        if self.short_allowed and self.check_short_finished():
+            self.snipe_short()
+
+    def snipe_long(self) -> None:
+        """"""
+        option = self.option
+        tick = option.tick
+
+        # Calculate volume left to trade
+        pos_up_limit = self.target_pos + self.max_pos
+        volume_left = pos_up_limit - option.net_pos
+
+        # Check price
+        if volume_left > 0 and tick.ask_price_1 <= self.algo_bid_price:
+            volume = min(
+                volume_left,
+                tick.ask_volume_1,
+                self.max_order_size
+            )
+
+            self.send_long(self.algo_bid_price, volume)
+
+    def snipe_short(self) -> None:
+        """"""
+        option = self.option
+        tick = option.tick
+
+        # Calculate volume left to trade
+        pos_down_limit = self.target_pos - self.max_pos
+        volume_left = option.net_pos - pos_down_limit
+
+        # Check price
+        if volume_left > 0 and tick.bid_price_1 >= self.algo_ask_price:
+            volume = min(
+                volume_left,
+                tick.bid_volume_1,
+                self.max_order_size
+            )
+
+            self.send_short(self.algo_ask_price, volume)
+
+    def put_pricing_event(self) -> None:
+        """"""
+        self.algo_engine.put_algo_pricing_event(self)
+
+    def put_trading_event(self) -> None:
+        """"""
+        self.algo_engine.put_algo_trading_event(self)
+
+    def put_status_event(self) -> None:
+        """"""
+        self.algo_engine.put_algo_status_event(self)
+
+    def write_log(self, msg: str) -> None:
+        """"""
+        self.algo_engine.write_algo_log(self, msg)

vnpy/app/option_master/base.py

@@ -0,0 +1,594 @@
+from datetime import datetime
+from typing import Dict, List, Callable
+from types import ModuleType
+
+from vnpy.trader.object import ContractData, TickData, TradeData
+from vnpy.trader.constant import Exchange, OptionType, Direction, Offset
+from vnpy.trader.converter import PositionHolding
+
+from .time import calculate_days_to_expiry, ANNUAL_DAYS
+
+
+APP_NAME = "OptionMaster"
+
+EVENT_OPTION_NEW_PORTFOLIO = "eOptionNewPortfolio"
+EVENT_OPTION_ALGO_PRICING = "eOptionAlgoPricing"
+EVENT_OPTION_ALGO_TRADING = "eOptionAlgoTrading"
+EVENT_OPTION_ALGO_STATUS = "eOptionAlgoStatus"
+EVENT_OPTION_ALGO_LOG = "eOptionAlgoLog"
+
+
+CHAIN_UNDERLYING_MAP = {
+    "510050_O.SSE": "510050",
+    "510300_O.SSE": "510300",
+    "159919_O.SSE": "159919",
+    "IO.CFFEX": "IF",
+    "HO.CFFEX": "IH",
+    "i_o.DCE": "i",
+    "m_o.DCE": "m",
+    "c_o.DCE": "c",
+    "cu_o.SHFE": "cu",
+    "ru_o.SHFE": "ru",
+    "SR.CZCE": "SR",
+    "CF.CZCE": "CF",
+    "TA.CZCE": "TA",
+}
+
+
+class InstrumentData:
+    """"""
+
+    def __init__(self, contract: ContractData):
+        """"""
+        self.symbol: str = contract.symbol
+        self.exchange: Exchange = contract.exchange
+        self.vt_symbol: str = contract.vt_symbol
+
+        self.pricetick: float = contract.pricetick
+        self.min_volume: float = contract.min_volume
+        self.size: int = contract.size
+
+        self.long_pos: int = 0
+        self.short_pos: int = 0
+        self.net_pos: int = 0
+        self.mid_price: float = 0
+
+        self.tick: TickData = None
+        self.portfolio: PortfolioData = None
+
+    def calculate_net_pos(self) -> None:
+        """"""
+        self.net_pos = self.long_pos - self.short_pos
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        self.tick = tick
+        self.mid_price = (tick.bid_price_1 + tick.ask_price_1) / 2
+
+    def update_trade(self, trade: TradeData) -> None:
+        """"""
+        if trade.direction == Direction.LONG:
+            if trade.offset == Offset.OPEN:
+                self.long_pos += trade.volume
+            else:
+                self.short_pos -= trade.volume
+        else:
+            if trade.offset == Offset.OPEN:
+                self.short_pos += trade.volume
+            else:
+                self.long_pos -= trade.volume
+        self.calculate_net_pos()
+
+    def update_holding(self, holding: PositionHolding) -> None:
+        """"""
+        self.long_pos = holding.long_pos
+        self.short_pos = holding.short_pos
+        self.calculate_net_pos()
+
+    def set_portfolio(self, portfolio: "PortfolioData") -> None:
+        """"""
+        self.portfolio = portfolio
+
+
+class OptionData(InstrumentData):
+    """"""
+
+    def __init__(self, contract: ContractData):
+        """"""
+        super().__init__(contract)
+
+        # Option contract features
+        self.strike_price: float = contract.option_strike
+        self.chain_index: str = contract.option_index
+
+        self.option_type: int = 0
+        if contract.option_type == OptionType.CALL:
+            self.option_type = 1
+        else:
+            self.option_type = -1
+
+        self.option_expiry: datetime = contract.option_expiry
+        self.days_to_expiry: int = calculate_days_to_expiry(
+            contract.option_expiry
+        )
+        self.time_to_expiry: float = self.days_to_expiry / ANNUAL_DAYS
+
+        self.interest_rate: float = 0
+
+        # Option portfolio related
+        self.underlying: UnderlyingData = None
+        self.chain: ChainData = None
+        self.underlying_adjustment: float = 0
+
+        # Pricing model
+        self.calculate_price: Callable = None
+        self.calculate_greeks: Callable = None
+        self.calculate_impv: Callable = None
+
+        # Implied volatility
+        self.bid_impv: float = 0
+        self.ask_impv: float = 0
+        self.mid_impv: float = 0
+        self.pricing_impv: float = 0
+
+        # Greeks related
+        self.theo_delta: float = 0
+        self.theo_gamma: float = 0
+        self.theo_theta: float = 0
+        self.theo_vega: float = 0
+
+        self.pos_value: float = 0
+        self.pos_delta: float = 0
+        self.pos_gamma: float = 0
+        self.pos_theta: float = 0
+        self.pos_vega: float = 0
+
+    def calculate_option_impv(self) -> None:
+        """"""
+        if not self.tick:
+            return
+
+        underlying_price = self.underlying.mid_price
+        if not underlying_price:
+            return
+        underlying_price += self.underlying_adjustment
+
+        self.ask_impv = self.calculate_impv(
+            self.tick.ask_price_1,
+            underlying_price,
+            self.strike_price,
+            self.interest_rate,
+            self.time_to_expiry,
+            self.option_type
+        )
+
+        self.bid_impv = self.calculate_impv(
+            self.tick.bid_price_1,
+            underlying_price,
+            self.strike_price,
+            self.interest_rate,
+            self.time_to_expiry,
+            self.option_type
+        )
+
+        self.mid_impv = (self.ask_impv + self.bid_impv) / 2
+
+    def calculate_theo_greeks(self) -> None:
+        """"""
+        if not self.underlying:
+            return
+
+        underlying_price = self.underlying.mid_price
+        if not underlying_price or not self.mid_impv:
+            return
+        underlying_price += self.underlying_adjustment
+
+        price, delta, gamma, theta, vega = self.calculate_greeks(
+            underlying_price,
+            self.strike_price,
+            self.interest_rate,
+            self.time_to_expiry,
+            self.mid_impv,
+            self.option_type
+        )
+
+        self.theo_delta = delta * self.size
+        self.theo_gamma = gamma * self.size
+        self.theo_theta = theta * self.size
+        self.theo_vega = vega * self.size
+
+    def calculate_pos_greeks(self) -> None:
+        """"""
+        if self.tick:
+            self.pos_value = self.tick.last_price * self.size * self.net_pos
+
+        self.pos_delta = self.theo_delta * self.net_pos
+        self.pos_gamma = self.theo_gamma * self.net_pos
+        self.pos_theta = self.theo_theta * self.net_pos
+        self.pos_vega = self.theo_vega * self.net_pos
+
+    def calculate_ref_price(self) -> float:
+        """"""
+        underlying_price = self.underlying.mid_price
+        underlying_price += self.underlying_adjustment
+
+        ref_price = self.calculate_price(
+            underlying_price,
+            self.strike_price,
+            self.interest_rate,
+            self.time_to_expiry,
+            self.pricing_impv,
+            self.option_type
+        )
+
+        return ref_price
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        super().update_tick(tick)
+        self.calculate_option_impv()
+
+    def update_trade(self, trade: TradeData) -> None:
+        """"""
+        super().update_trade(trade)
+        self.calculate_pos_greeks()
+
+    def update_underlying_tick(self, underlying_adjustment: float) -> None:
+        """"""
+        self.underlying_adjustment = underlying_adjustment
+
+        self.calculate_option_impv()
+        self.calculate_theo_greeks()
+        self.calculate_pos_greeks()
+
+    def set_chain(self, chain: "ChainData") -> None:
+        """"""
+        self.chain = chain
+
+    def set_underlying(self, underlying: "UnderlyingData") -> None:
+        """"""
+        self.underlying = underlying
+
+    def set_interest_rate(self, interest_rate: float) -> None:
+        """"""
+        self.interest_rate = interest_rate
+
+    def set_pricing_model(self, pricing_model: ModuleType) -> None:
+        """"""
+        self.calculate_greeks = pricing_model.calculate_greeks
+        self.calculate_impv = pricing_model.calculate_impv
+        self.calculate_price = pricing_model.calculate_price
+
+
+class UnderlyingData(InstrumentData):
+    """"""
+
+    def __init__(self, contract: ContractData):
+        """"""
+        super().__init__(contract)
+
+        self.theo_delta: float = 0
+        self.pos_delta: float = 0
+        self.chains: Dict[str: ChainData] = {}
+
+    def add_chain(self, chain: "ChainData") -> None:
+        """"""
+        self.chains[chain.chain_symbol] = chain
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        super().update_tick(tick)
+
+        self.theo_delta = self.size * self.mid_price / 100
+        for chain in self.chains.values():
+            chain.update_underlying_tick()
+
+        self.calculate_pos_greeks()
+
+    def update_trade(self, trade: TradeData) -> None:
+        """"""
+        super().update_trade(trade)
+
+        self.calculate_pos_greeks()
+
+    def calculate_pos_greeks(self) -> None:
+        """"""
+        self.pos_delta = self.theo_delta * self.net_pos
+
+
+class ChainData:
+    """"""
+
+    def __init__(self, chain_symbol: str):
+        """"""
+        self.chain_symbol: str = chain_symbol
+
+        self.long_pos: int = 0
+        self.short_pos: int = 0
+        self.net_pos: int = 0
+
+        self.pos_value: float = 0
+        self.pos_delta: float = 0
+        self.pos_gamma: float = 0
+        self.pos_theta: float = 0
+        self.pos_vega: float = 0
+
+        self.underlying: UnderlyingData = None
+
+        self.options: Dict[str, OptionData] = {}
+        self.calls: Dict[str, OptionData] = {}
+        self.puts: Dict[str, OptionData] = {}
+
+        self.portfolio: PortfolioData = None
+
+        self.indexes: List[float] = []
+        self.atm_price: float = 0
+        self.atm_index: str = ""
+        self.underlying_adjustment: float = 0
+        self.days_to_expiry: int = 0
+
+    def add_option(self, option: OptionData) -> None:
+        """"""
+        self.options[option.vt_symbol] = option
+
+        if option.option_type > 0:
+            self.calls[option.chain_index] = option
+        else:
+            self.puts[option.chain_index] = option
+
+        option.set_chain(self)
+
+        if option.chain_index not in self.indexes:
+            self.indexes.append(option.chain_index)
+            self.indexes.sort()
+
+        self.days_to_expiry = option.days_to_expiry
+
+    def calculate_pos_greeks(self) -> None:
+        """"""
+        # Clear data
+        self.long_pos = 0
+        self.short_pos = 0
+        self.net_pos = 0
+        self.pos_value = 0
+        self.pos_delta = 0
+        self.pos_gamma = 0
+        self.pos_theta = 0
+        self.pos_vega = 0
+
+        # Sum all value
+        for option in self.options.values():
+            if option.net_pos:
+                self.long_pos += option.long_pos
+                self.short_pos += option.short_pos
+                self.pos_value += option.pos_value
+                self.pos_delta += option.pos_delta
+                self.pos_gamma += option.pos_gamma
+                self.pos_theta += option.pos_theta
+                self.pos_vega += option.pos_vega
+
+        self.net_pos = self.long_pos - self.short_pos
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        option = self.options[tick.vt_symbol]
+        option.update_tick(tick)
+
+    def update_underlying_tick(self) -> None:
+        """"""
+        self.calculate_underlying_adjustment()
+
+        for option in self.options.values():
+            option.update_underlying_tick(self.underlying_adjustment)
+
+        self.calculate_pos_greeks()
+
+    def update_trade(self, trade: TradeData) -> None:
+        """"""
+        option = self.options[trade.vt_symbol]
+
+        # Deduct old option pos greeks
+        self.long_pos -= option.long_pos
+        self.short_pos -= option.short_pos
+        self.pos_value -= option.pos_value
+        self.pos_delta -= option.pos_delta
+        self.pos_gamma -= option.pos_gamma
+        self.pos_theta -= option.pos_theta
+        self.pos_vega -= option.pos_vega
+
+        # Calculate new option pos greeks
+        option.update_trade(trade)
+
+        # Add new option pos greeks
+        self.long_pos += option.long_pos
+        self.short_pos += option.short_pos
+        self.pos_value += option.pos_value
+        self.pos_delta += option.pos_delta
+        self.pos_gamma += option.pos_gamma
+        self.pos_theta += option.pos_theta
+        self.pos_vega += option.pos_vega
+
+        self.net_pos = self.long_pos - self.short_pos
+
+    def set_underlying(self, underlying: "UnderlyingData") -> None:
+        """"""
+        underlying.add_chain(self)
+        self.underlying = underlying
+
+        for option in self.options.values():
+            option.set_underlying(underlying)
+
+    def set_interest_rate(self, interest_rate: float) -> None:
+        """"""
+        for option in self.options.values():
+            option.set_interest_rate(interest_rate)
+
+    def set_pricing_model(self, pricing_model: ModuleType) -> None:
+        """"""
+        for option in self.options.values():
+            option.set_pricing_model(pricing_model)
+
+    def set_portfolio(self, portfolio: "PortfolioData") -> None:
+        """"""
+        for option in self.options:
+            option.set_portfolio(portfolio)
+
+    def calculate_atm_price(self) -> None:
+        """"""
+        underlying_price = self.underlying.mid_price
+
+        atm_distance = 0
+        atm_price = 0
+        atm_index = ""
+
+        for call in self.calls.values():
+            price_distance = abs(underlying_price - call.strike_price)
+
+            if not atm_distance or price_distance < atm_distance:
+                atm_distance = price_distance
+                atm_price = call.strike_price
+                atm_index = call.chain_index
+
+        self.atm_price = atm_price
+        self.atm_index = atm_index
+
+    def calculate_underlying_adjustment(self) -> None:
+        """"""
+        if not self.atm_price:
+            return
+
+        atm_call = self.calls[self.atm_index]
+        atm_put = self.puts[self.atm_index]
+
+        synthetic_price = atm_call.mid_price - atm_put.mid_price + self.atm_price
+        self.underlying_adjustment = synthetic_price - self.underlying.mid_price
+
+
+class PortfolioData:
+
+    def __init__(self, name: str):
+        """"""
+        self.name: str = name
+
+        self.long_pos: int = 0
+        self.short_pos: int = 0
+        self.net_pos: int = 0
+
+        self.pos_delta: float = 0
+        self.pos_gamma: float = 0
+        self.pos_theta: float = 0
+        self.pos_vega: float = 0
+
+        # All instrument
+        self._options: Dict[str, OptionData] = {}
+        self._chains: Dict[str, ChainData] = {}
+
+        # Active instrument
+        self.options: Dict[str, OptionData] = {}
+        self.chains: Dict[str, ChainData] = {}
+        self.underlyings: Dict[str, UnderlyingData] = {}
+
+    def calculate_pos_greeks(self) -> None:
+        """"""
+        self.long_pos = 0
+        self.short_pos = 0
+        self.net_pos = 0
+
+        self.pos_value = 0
+        self.pos_delta = 0
+        self.pos_gamma = 0
+        self.pos_theta = 0
+        self.pos_vega = 0
+
+        for underlying in self.underlyings.values():
+            self.pos_delta += underlying.pos_delta
+
+        for chain in self.chains.values():
+            self.long_pos += chain.long_pos
+            self.short_pos += chain.short_pos
+            self.pos_value += chain.pos_value
+            self.pos_delta += chain.pos_delta
+            self.pos_gamma += chain.pos_gamma
+            self.pos_theta += chain.pos_theta
+            self.pos_vega += chain.pos_vega
+
+        self.net_pos = self.long_pos - self.short_pos
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        if tick.vt_symbol in self.options:
+            option = self.options[tick.vt_symbol]
+            chain = option.chain
+            chain.update_tick(tick)
+            self.calculate_pos_greeks()
+        elif tick.vt_symbol in self.underlyings:
+            underlying = self.underlyings[tick.vt_symbol]
+            underlying.update_tick(tick)
+            self.calculate_pos_greeks()
+
+    def update_trade(self, trade: TradeData) -> None:
+        """"""
+        if trade.vt_symbol in self.options:
+            option = self.options[trade.vt_symbol]
+            chain = option.chain
+            chain.update_trade(trade)
+            self.calculate_pos_greeks()
+        elif trade.vt_symbol in self.underlyings:
+            underlying = self.underlyings[trade.vt_symbol]
+            underlying.update_trade(trade)
+            self.calculate_pos_greeks()
+
+    def set_interest_rate(self, interest_rate: float) -> None:
+        """"""
+        for chain in self.chains.values():
+            chain.set_interest_rate(interest_rate)
+
+    def set_pricing_model(self, pricing_model: ModuleType) -> None:
+        """"""
+        for chain in self.chains.values():
+            chain.set_pricing_model(pricing_model)
+
+    def set_chain_underlying(self, chain_symbol: str, contract: ContractData) -> None:
+        """"""
+        underlying = self.underlyings.get(contract.vt_symbol, None)
+        if not underlying:
+            underlying = UnderlyingData(contract)
+            underlying.set_portfolio(self)
+            self.underlyings[contract.vt_symbol] = underlying
+
+        chain = self.get_chain(chain_symbol)
+        chain.set_underlying(underlying)
+
+        # Add to active dict
+        self.chains[chain_symbol] = chain
+
+        for option in chain.options.values():
+            self.options[option.vt_symbol] = option
+
+    def get_chain(self, chain_symbol: str) -> ChainData:
+        """"""
+        chain = self._chains.get(chain_symbol, None)
+
+        if not chain:
+            chain = ChainData(chain_symbol)
+            chain.set_portfolio(self)
+            self._chains[chain_symbol] = chain
+
+        return chain
+
+    def add_option(self, contract: ContractData) -> None:
+        """"""
+        option = OptionData(contract)
+        option.set_portfolio(self)
+        self._options[contract.vt_symbol] = option
+
+        exchange_name = contract.exchange.value
+        chain_symbol: str = f"{contract.option_underlying}.{exchange_name}"
+
+        chain = self.get_chain(chain_symbol)
+        chain.add_option(option)
+
+    def calculate_atm_price(self) -> None:
+        """"""
+        for chain in self.chains.values():
+            chain.calculate_atm_price()

vnpy/app/option_master/engine.py

@@ -0,0 +1,683 @@
+""""""
+
+from typing import Dict, List, Set
+from copy import copy
+from collections import defaultdict
+
+from vnpy.trader.object import (
+    LogData, ContractData, TickData,
+    OrderData, TradeData,
+    SubscribeRequest, OrderRequest
+)
+from vnpy.event import Event, EventEngine
+from vnpy.trader.engine import BaseEngine, MainEngine
+from vnpy.trader.event import (
+    EVENT_TRADE, EVENT_TICK, EVENT_CONTRACT,
+    EVENT_TIMER, EVENT_ORDER, EVENT_POSITION
+)
+from vnpy.trader.constant import (
+    Product, Offset, Direction, OrderType
+)
+from vnpy.trader.converter import OffsetConverter
+from vnpy.trader.utility import round_to, save_json, load_json
+
+from .base import (
+    APP_NAME, CHAIN_UNDERLYING_MAP,
+    EVENT_OPTION_NEW_PORTFOLIO,
+    EVENT_OPTION_ALGO_PRICING, EVENT_OPTION_ALGO_TRADING,
+    EVENT_OPTION_ALGO_STATUS, EVENT_OPTION_ALGO_LOG,
+    InstrumentData, PortfolioData
+)
+try:
+    from .pricing import black_76_cython as black_76
+    from .pricing import binomial_tree_cython as binomial_tree
+    from .pricing import black_scholes_cython as black_scholes
+except ImportError:
+    from .pricing import (
+        black_76, binomial_tree, black_scholes
+    )
+    print("Faile to import cython option pricing model, please rebuild with cython in cmd.")
+from .algo import ElectronicEyeAlgo
+
+
+PRICING_MODELS = {
+    "Black-76 欧式期货期权": black_76,
+    "Black-Scholes 欧式股票期权": black_scholes,
+    "二叉树 美式期货期权": binomial_tree
+}
+
+
+class OptionEngine(BaseEngine):
+    """"""
+
+    setting_filename = "option_master_setting.json"
+    data_filename = "option_master_data.json"
+
+    def __init__(self, main_engine: MainEngine, event_engine: EventEngine):
+        """"""
+        super().__init__(main_engine, event_engine, APP_NAME)
+
+        self.portfolios: Dict[str, PortfolioData] = {}
+        self.instruments: Dict[str, InstrumentData] = {}
+        self.active_portfolios: Dict[str, PortfolioData] = {}
+
+        self.timer_count: int = 0
+        self.timer_trigger: int = 60
+
+        self.offset_converter: OffsetConverter = OffsetConverter(main_engine)
+        self.get_position_holding = self.offset_converter.get_position_holding
+
+        self.hedge_engine: OptionHedgeEngine = OptionHedgeEngine(self)
+        self.algo_engine: OptionAlgoEngine = OptionAlgoEngine(self)
+
+        self.setting: Dict = {}
+
+        self.load_setting()
+        self.register_event()
+
+    def close(self) -> None:
+        """"""
+        self.save_setting()
+        self.save_data()
+
+    def load_setting(self) -> None:
+        """"""
+        self.setting = load_json(self.setting_filename)
+
+    def save_setting(self) -> None:
+        """
+        Save underlying adjustment.
+        """
+        save_json(self.setting_filename, self.setting)
+
+    def load_data(self) -> None:
+        """"""
+        data = load_json(self.data_filename)
+
+        for portfolio in self.active_portfolios.values():
+            portfolio_name = portfolio.name
+
+            # Load underlying adjustment from setting
+            chain_adjustments = data.get("chain_adjustments", {})
+            chain_adjustment_data = chain_adjustments.get(portfolio_name, {})
+
+            if chain_adjustment_data:
+                for chain in portfolio.chains.values():
+                    chain.underlying_adjustment = chain_adjustment_data.get(
+                        chain.chain_symbol, 0
+                    )
+
+            # Load pricing impv from setting
+            pricing_impvs = data.get("pricing_impvs", {})
+            pricing_impv_data = pricing_impvs.get(portfolio_name, {})
+
+            if pricing_impv_data:
+                for chain in portfolio.chains.values():
+                    for index in chain.indexes:
+                        key = f"{chain.chain_symbol}_{index}"
+                        pricing_impv = pricing_impv_data.get(key, 0)
+
+                        if pricing_impv:
+                            call = chain.calls[index]
+                            call.pricing_impv = pricing_impv
+
+                            put = chain.puts[index]
+                            put.pricing_impv = pricing_impv
+
+    def save_data(self) -> None:
+        """"""
+        chain_adjustments = {}
+        pricing_impvs = {}
+
+        for portfolio in self.active_portfolios.values():
+            chain_adjustment_data = {}
+            pricing_impv_data = {}
+            for chain in portfolio.chains.values():
+                chain_adjustment_data[chain.chain_symbol] = chain.underlying_adjustment
+
+                for call in chain.calls.values():
+                    key = f"{chain.chain_symbol}_{call.chain_index}"
+                    pricing_impv_data[key] = call.pricing_impv
+
+            chain_adjustments[portfolio.name] = chain_adjustment_data
+            pricing_impvs[portfolio.name] = pricing_impv_data
+
+        data = {
+            "chain_adjustments": chain_adjustments,
+            "pricing_impvs": pricing_impvs
+        }
+
+        save_json(self.data_filename, data)
+
+    def register_event(self) -> None:
+        """"""
+        self.event_engine.register(EVENT_TICK, self.process_tick_event)
+        self.event_engine.register(EVENT_CONTRACT, self.process_contract_event)
+        self.event_engine.register(EVENT_ORDER, self.process_order_event)
+        self.event_engine.register(EVENT_TRADE, self.process_trade_event)
+        self.event_engine.register(EVENT_POSITION, self.process_position_event)
+        self.event_engine.register(EVENT_TIMER, self.process_timer_event)
+
+    def process_tick_event(self, event: Event) -> None:
+        """"""
+        tick: TickData = event.data
+
+        instrument = self.instruments.get(tick.vt_symbol, None)
+        if not instrument:
+            return
+
+        portfolio = instrument.portfolio
+        if not portfolio:
+            return
+
+        portfolio.update_tick(tick)
+
+    def process_order_event(self, event: Event) -> None:
+        """"""
+        order: OrderData = event.data
+        self.offset_converter.update_order(order)
+
+    def process_trade_event(self, event: Event) -> None:
+        """"""
+        trade: TradeData = event.data
+        self.offset_converter.update_trade(trade)
+
+        instrument = self.instruments.get(trade.vt_symbol, None)
+        if not instrument:
+            return
+
+        portfolio = instrument.portfolio
+        if not portfolio:
+            return
+
+        portfolio.update_trade(trade)
+
+    def process_contract_event(self, event: Event) -> None:
+        """"""
+        contract: ContractData = event.data
+
+        if contract.product == Product.OPTION:
+            exchange_name = contract.exchange.value
+            portfolio_name = f"{contract.option_portfolio}.{exchange_name}"
+            if portfolio_name not in CHAIN_UNDERLYING_MAP:
+                return
+
+            portfolio = self.get_portfolio(portfolio_name)
+            portfolio.add_option(contract)
+
+    def process_position_event(self, event: Event) -> None:
+        """"""
+        position = event.data
+        self.offset_converter.update_position(position)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        self.timer_count += 1
+        if self.timer_count < self.timer_trigger:
+            return
+        self.timer_count = 0
+
+        for portfolio in self.active_portfolios.values():
+            portfolio.calculate_atm_price()
+
+    def get_portfolio(self, portfolio_name: str) -> PortfolioData:
+        """"""
+        portfolio = self.portfolios.get(portfolio_name, None)
+        if not portfolio:
+            portfolio = PortfolioData(portfolio_name)
+            self.portfolios[portfolio_name] = portfolio
+
+            event = Event(EVENT_OPTION_NEW_PORTFOLIO, portfolio_name)
+            self.event_engine.put(event)
+
+        return portfolio
+
+    def subscribe_data(self, vt_symbol: str) -> None:
+        """"""
+        contract = self.main_engine.get_contract(vt_symbol)
+        req = SubscribeRequest(contract.symbol, contract.exchange)
+        self.main_engine.subscribe(req, contract.gateway_name)
+
+    def update_portfolio_setting(
+        self,
+        portfolio_name: str,
+        model_name: str,
+        interest_rate: float,
+        chain_underlying_map: Dict[str, str],
+    ) -> None:
+        """"""
+        portfolio = self.get_portfolio(portfolio_name)
+
+        for chain_symbol, underlying_symbol in chain_underlying_map.items():
+            contract = self.main_engine.get_contract(underlying_symbol)
+            portfolio.set_chain_underlying(chain_symbol, contract)
+
+        portfolio.set_interest_rate(interest_rate)
+
+        pricing_model = PRICING_MODELS[model_name]
+        portfolio.set_pricing_model(pricing_model)
+
+        portfolio_settings = self.setting.setdefault("portfolio_settings", {})
+        portfolio_settings[portfolio_name] = {
+            "model_name": model_name,
+            "interest_rate": interest_rate,
+            "chain_underlying_map": chain_underlying_map
+        }
+        self.save_setting()
+
+    def get_portfolio_setting(self, portfolio_name: str) -> Dict:
+        """"""
+        portfolio_settings = self.setting.setdefault("portfolio_settings", {})
+        return portfolio_settings.get(portfolio_name, {})
+
+    def init_portfolio(self, portfolio_name: str) -> bool:
+        """"""
+        # Add to active dict
+        if portfolio_name in self.active_portfolios:
+            return False
+        portfolio = self.get_portfolio(portfolio_name)
+        self.active_portfolios[portfolio_name] = portfolio
+
+        # Subscribe market data
+        for underlying in portfolio.underlyings.values():
+            self.instruments[underlying.vt_symbol] = underlying
+            self.subscribe_data(underlying.vt_symbol)
+
+        for option in portfolio.options.values():
+            # Ignore options with no underlying set
+            if not option.underlying:
+                continue
+
+            self.instruments[option.vt_symbol] = option
+            self.subscribe_data(option.vt_symbol)
+
+        # Update position volume
+        for instrument in self.instruments.values():
+            holding = self.offset_converter.get_position_holding(
+                instrument.vt_symbol
+            )
+            if holding:
+                instrument.update_holding(holding)
+
+        portfolio.calculate_pos_greeks()
+
+        # Load chain adjustment and pricing impv data
+        self.load_data()
+
+        return True
+
+    def get_portfolio_names(self) -> List[str]:
+        """"""
+        return list(self.portfolios.keys())
+
+    def get_underlying_symbols(self, portfolio_name: str) -> List[str]:
+        """"""
+        underlying_prefix = CHAIN_UNDERLYING_MAP[portfolio_name]
+        underlying_symbols = []
+
+        contracts = self.main_engine.get_all_contracts()
+        for contract in contracts:
+            if contract.product == Product.OPTION:
+                continue
+
+            if contract.symbol.startswith(underlying_prefix):
+                underlying_symbols.append(contract.vt_symbol)
+
+        underlying_symbols.sort()
+
+        return underlying_symbols
+
+    def get_instrument(self, vt_symbol: str) -> InstrumentData:
+        """"""
+        instrument = self.instruments[vt_symbol]
+        return instrument
+
+    def set_timer_trigger(self, timer_trigger: int) -> None:
+        """"""
+        self.timer_trigger = timer_trigger
+
+
+class OptionHedgeEngine:
+    """"""
+
+    def __init__(self, option_engine: OptionEngine):
+        """"""
+        self.option_engine: OptionEngine = option_engine
+        self.main_engine: MainEngine = option_engine.main_engine
+        self.event_engine: EventEngine = option_engine.event_engine
+
+        # Hedging parameters
+        self.portfolio_name: str = ""
+        self.vt_symbol: str = ""
+        self.timer_trigger = 5
+        self.delta_target = 0
+        self.delta_range = 0
+        self.hedge_payup = 1
+
+        self.active: bool = False
+        self.active_orderids: Set[str] = set()
+        self.timer_count = 0
+
+        self.register_event()
+
+    def register_event(self) -> None:
+        """"""
+        self.event_engine.register(EVENT_ORDER, self.process_order_event)
+        self.event_engine.register(EVENT_TIMER, self.process_timer_event)
+
+    def process_order_event(self, event: Event) -> None:
+        """"""
+        order: OrderData = event.data
+
+        if order.vt_orderid not in self.active_orderids:
+            return
+
+        if not order.is_active():
+            self.active_orderids.remove(order.vt_orderid)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        if not self.active:
+            return
+
+        self.timer_count += 1
+        if self.timer_count < self.timer_trigger:
+            return
+        self.timer_count = 0
+
+        self.run()
+
+    def start(
+        self,
+        portfolio_name: str,
+        vt_symbol: str,
+        timer_trigger: int,
+        delta_target: int,
+        delta_range: int,
+        hedge_payup: int
+    ) -> None:
+        """"""
+        if self.active:
+            return
+
+        self.portfolio_name = portfolio_name
+        self.vt_symbol = vt_symbol
+        self.timer_trigger = timer_trigger
+        self.delta_target = delta_target
+        self.delta_range = delta_range
+        self.hedge_payup = hedge_payup
+
+        self.active = True
+
+    def stop(self) -> None:
+        """"""
+        if not self.active:
+            return
+
+        self.active = False
+        self.timer_count = 0
+
+    def run(self) -> None:
+        """"""
+        if not self.check_order_finished():
+            self.cancel_all()
+            return
+
+        delta_max = self.delta_target + self.delta_range
+        delta_min = self.delta_target - self.delta_range
+
+        # Do nothing if portfolio delta is in the allowed range
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+        if delta_min <= portfolio.pos_delta <= delta_max:
+            return
+
+        # Calculate volume of contract to hedge
+        delta_to_hedge = self.delta_target - portfolio.pos_delta
+        instrument = self.option_engine.get_instrument(self.vt_symbol)
+        hedge_volume = delta_to_hedge / instrument.theo_delta
+
+        # Send hedge orders
+        tick = self.main_engine.get_tick(self.vt_symbol)
+        contract = self.main_engine.get_contract(self.vt_symbol)
+        holding = self.option_engine.get_position_holding(self.vt_symbol)
+
+        if hedge_volume > 0:
+            price = tick.ask_price_1 + contract.pricetick * self.hedge_payup
+            direction = Direction.LONG
+
+            if holding:
+                available = holding.short_pos - holding.short_pos_frozen
+            else:
+                available = 0
+        else:
+            price = tick.bid_price_1 - contract.pricetick * self.hedge_payup
+            direction = Direction.SHORT
+
+            if holding:
+                available = holding.long_pos - holding.long_pos_frozen
+            else:
+                available = 0
+
+        order_volume = abs(hedge_volume)
+
+        req = OrderRequest(
+            symbol=contract.symbol,
+            exchange=contract.exchange,
+            direction=direction,
+            type=OrderType.LIMIT,
+            volume=order_volume,
+            price=round_to(price, contract.pricetick),
+        )
+
+        # Close positon if opposite available is enough
+        if available > order_volume:
+            req.offset = Offset.CLOSE
+            vt_orderid = self.main_engine.send_order(req, contract.gateway_name)
+            self.active_orderids.add(vt_orderid)
+        # Open position if no oppsite available
+        elif not available:
+            req.offset = Offset.OPEN
+            vt_orderid = self.main_engine.send_order(req, contract.gateway_name)
+            self.active_orderids.add(vt_orderid)
+        # Else close all opposite available and open left volume
+        else:
+            close_req = copy(req)
+            close_req.offset = Offset.CLOSE
+            close_req.volume = available
+            close_orderid = self.main_engine.send_order(close_req, contract.gateway_name)
+            self.active_orderids.add(close_orderid)
+
+            open_req = copy(req)
+            open_req.offset = Offset.OPEN
+            open_req.volume = order_volume - available
+            open_orderid = self.main_engine.send_order(open_req, contract.gateway_name)
+            self.active_orderids.add(open_orderid)
+
+    def check_order_finished(self) -> None:
+        """"""
+        if self.active_orderids:
+            return False
+        else:
+            return True
+
+    def cancel_all(self) -> None:
+        """"""
+        for vt_orderid in self.active_orderids:
+            order: OrderData = self.main_engine.get_order(vt_orderid)
+            req = order.create_cancel_request()
+            self.main_engine.cancel_order(req, order.gateway_name)
+
+
+class OptionAlgoEngine:
+
+    def __init__(self, option_engine: OptionEngine):
+        """"""
+        self.option_engine = option_engine
+        self.main_engine = option_engine.main_engine
+        self.event_engine = option_engine.event_engine
+
+        self.algos: Dict[str, ElectronicEyeAlgo] = {}
+        self.active_algos: Dict[str, ElectronicEyeAlgo] = {}
+
+        self.underlying_algo_map: Dict[str, ElectronicEyeAlgo] = defaultdict(list)
+        self.order_algo_map: Dict[str, ElectronicEyeAlgo] = {}
+
+        self.register_event()
+
+    def init_engine(self, portfolio_name: str) -> None:
+        """"""
+        if self.algos:
+            return
+
+        portfolio = self.option_engine.get_portfolio(portfolio_name)
+
+        for option in portfolio.options.values():
+            algo = ElectronicEyeAlgo(self, option)
+            self.algos[option.vt_symbol] = algo
+
+    def register_event(self) -> None:
+        """"""
+        self.event_engine.register(EVENT_ORDER, self.process_order_event)
+        self.event_engine.register(EVENT_TRADE, self.process_trade_event)
+        self.event_engine.register(EVENT_TIMER, self.process_timer_event)
+
+    def process_underlying_tick_event(self, event: Event) -> None:
+        """"""
+        tick: TickData = event.data
+
+        for algo in self.underlying_algo_map[tick.vt_symbol]:
+            algo.on_underlying_tick(algo)
+
+    def process_option_tick_event(self, event: Event) -> None:
+        """"""
+        tick: TickData = event.data
+
+        algo = self.algos[tick.vt_symbol]
+        algo.on_option_tick(algo)
+
+    def process_order_event(self, event: Event) -> None:
+        """"""
+        order: OrderData = event.data
+        algo = self.order_algo_map.get(order.vt_orderid, None)
+
+        if algo:
+            algo.on_order(order)
+
+    def process_trade_event(self, event: Event) -> None:
+        """"""
+        trade: TradeData = event.data
+        algo = self.order_algo_map.get(trade.vt_orderid, None)
+
+        if algo:
+            algo.on_trade(trade)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        for algo in self.active_algos.values():
+            algo.on_timer()
+
+    def start_algo_pricing(self, vt_symbol: str, params: dict) -> None:
+        """"""
+        algo = self.algos[vt_symbol]
+
+        result = algo.start_pricing(params)
+        if not result:
+            return
+
+        self.underlying_algo_map[algo.underlying.vt_symbol].append(algo)
+
+        self.event_engine.register(
+            EVENT_TICK + algo.option.vt_symbol,
+            self.process_option_tick_event
+        )
+        self.event_engine.register(
+            EVENT_TICK + algo.underlying.vt_symbol,
+            self.process_underlying_tick_event
+        )
+
+    def stop_algo_pricing(self, vt_symbol: str) -> None:
+        """"""
+        algo = self.algos[vt_symbol]
+
+        result = algo.stop_pricing()
+        if not result:
+            return
+
+        self.event_engine.unregister(
+            EVENT_TICK + vt_symbol,
+            self.process_option_tick_event
+        )
+
+        buf = self.underlying_algo_map[algo.underlying.vt_symbol]
+        buf.remove(algo)
+
+        if not buf:
+            self.event_engine.unregister(
+                EVENT_TICK + algo.underlying.vt_symbol,
+                self.process_underlying_tick_event
+            )
+
+    def start_algo_trading(self, vt_symbol: str, params: dict) -> None:
+        """"""
+        algo = self.algos[vt_symbol]
+        algo.start_trading(params)
+
+    def stop_algo_trading(self, vt_symbol: str) -> None:
+        """"""
+        algo = self.algos[vt_symbol]
+        algo.stop_trading()
+
+    def send_order(
+        self,
+        algo: ElectronicEyeAlgo,
+        vt_symbol: str,
+        direction: Direction,
+        offset: Offset,
+        price: float,
+        volume: int
+    ) -> str:
+        """"""
+        contract = self.main_engine.get_contract(vt_symbol)
+
+        req = OrderRequest(
+            contract.symbol,
+            contract.exchange,
+            direction,
+            OrderType.LIMIT,
+            volume,
+            price,
+            offset
+        )
+
+        vt_orderid = self.main_engine.send_order(req, contract.gateway_name)
+        self.order_algo_map[vt_orderid] = algo
+
+        return vt_orderid
+
+    def cancel_order(self, vt_orderid: str) -> None:
+        """"""
+        order = self.main_engine.get_order(vt_orderid)
+        req = order.create_cancel_request()
+        self.main_engine.cancel_order(req, order.gateway_name)
+
+    def write_algo_log(self, algo: ElectronicEyeAlgo, msg: str) -> None:
+        """"""
+        msg = f"[{algo.vt_symbol}] {msg}"
+        log = LogData(APP_NAME, msg)
+        event = Event(EVENT_OPTION_ALGO_LOG, log)
+        self.event_engine.put(event)
+
+    def put_algo_pricing_event(self, algo: ElectronicEyeAlgo) -> None:
+        """"""
+        event = Event(EVENT_OPTION_ALGO_PRICING, algo)
+        self.event_engine.put(event)
+
+    def put_algo_trading_event(self, algo: ElectronicEyeAlgo) -> None:
+        """"""
+        event = Event(EVENT_OPTION_ALGO_TRADING, algo)
+        self.event_engine.put(event)
+
+    def put_algo_status_event(self, algo: ElectronicEyeAlgo) -> None:
+        """"""
+        event = Event(EVENT_OPTION_ALGO_STATUS, algo)
+        self.event_engine.put(event)

vnpy/app/option_master/pricing/binomial_tree.py

@@ -0,0 +1,251 @@
+from numpy import zeros, ndarray
+from math import exp, sqrt
+from typing import Tuple
+
+
+DEFAULT_STEP = 15
+
+
+def generate_tree(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int
+) -> Tuple[ndarray, ndarray]:
+    """Generate binomial tree for pricing American option."""
+    dt = t / n
+    u = exp(v * sqrt(dt))
+    d = 1 / u
+    a = 1
+    tree_size = n + 1
+    underlying_tree = zeros((tree_size, tree_size))
+    option_tree = zeros((tree_size, tree_size))
+
+    # Calculate risk neutral probability
+    p = (a - d) / (u - d)
+    p1 = p / a
+    p2 = (1 - p) / a
+
+    # Calculate underlying price tree
+    underlying_tree[0, 0] = f
+
+    for i in range(1, n + 1):
+        underlying_tree[0, i] = underlying_tree[0, i - 1] * u
+        for j in range(1, n + 1):
+            underlying_tree[j, i] = underlying_tree[j - 1, i - 1] * d
+
+    # Calculate option price tree
+    for j in range(n + 1):
+        option_tree[j, n] = max(0, cp * (underlying_tree[j, n] - k))
+
+    for i in range(n - 1, -1, -1):
+        for j in range(i + 1):
+            option_tree[j, i] = max(
+                (p1 * option_tree[j, i + 1] + p2 * option_tree[j + 1, i + 1]),
+                cp * (underlying_tree[j, i] - k)
+            )
+
+    # Return both trees
+    return option_tree, underlying_tree
+
+
+def calculate_price(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option price"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    return option_tree[0, 0]
+
+
+def calculate_delta(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option delta"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    option_price_change = option_tree[0, 1] - option_tree[1, 1]
+    underlying_price_change = underlying_tree[0, 1] - underlying_tree[1, 1]
+    return option_price_change / underlying_price_change
+
+
+def calculate_gamma(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option gamma"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+
+    gamma_delta_1 = (option_tree[0, 2] - option_tree[1, 2]) / \
+        (underlying_tree[0, 2] - underlying_tree[1, 2])
+    gamma_delta_2 = (option_tree[1, 2] - option_tree[2, 2]) / \
+        (underlying_tree[1, 2] - underlying_tree[2, 2])
+    gamma = (gamma_delta_1 - gamma_delta_2) / \
+        (0.5 * (underlying_tree[0, 2] - underlying_tree[2, 2]))
+
+    return gamma
+
+
+def calculate_theta(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP,
+    annual_days: int = 240
+) -> float:
+    """Calcualte option theta"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+
+    dt = t / n
+    theta = (option_tree[1, 2] - option_tree[0, 0]) / (2 * dt * annual_days)
+
+    return theta
+
+
+def calculate_vega(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option vega(%)"""
+    vega = calculate_original_vega(f, k, r, t, v, cp, n) / 100
+    return vega
+
+
+def calculate_original_vega(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option vega"""
+    price_1 = calculate_price(f, k, r, t, v, cp, n)
+    price_2 = calculate_price(f, k, r, t, v * 1.001, cp, n)
+    vega = (price_2 - price_1) / (v * 0.001)
+    return vega
+
+
+def calculate_greeks(
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    n: int = DEFAULT_STEP,
+    annual_days: int = 240
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    dt = t / n
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    option_tree_vega, underlying_tree_vega = generate_tree(f, k, r, t, v * 1.001, cp, n)
+
+    # Price
+    price = option_tree[0, 0]
+
+    # Delta
+    option_price_change = option_tree[0, 1] - option_tree[1, 1]
+    underlying_price_change = underlying_tree[0, 1] - underlying_tree[1, 1]
+    delta = option_price_change / underlying_price_change
+
+    # Gamma
+    gamma_delta_1 = (option_tree[0, 2] - option_tree[1, 2]) / \
+        (underlying_tree[0, 2] - underlying_tree[1, 2])
+    gamma_delta_2 = (option_tree[1, 2] - option_tree[2, 2]) / \
+        (underlying_tree[1, 2] - underlying_tree[2, 2])
+    gamma = (gamma_delta_1 - gamma_delta_2) / \
+        (0.5 * (underlying_tree[0, 2] - underlying_tree[2, 2]))
+
+    # Theta
+    theta = (option_tree[1, 2] - option_tree[0, 0]) / (2 * dt * annual_days)
+
+    # Vega
+    vega = (option_tree_vega[0, 0] - option_tree[0, 0]) / (0.001 * v * 100)
+
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    price: float,
+    f: float,
+    k: float,
+    r: float,
+    t: float,
+    cp: int,
+    n: int = DEFAULT_STEP
+) -> float:
+    """Calculate option implied volatility"""
+    # Check option price must be position
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet = False
+
+    if cp == 1 and price > (f - k):
+        meet = True
+    elif cp == -1 and price > (k - f):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p: float = calculate_price(f, k, r, t, v, cp, n)
+        vega: float = calculate_original_vega(f, k, r, t, v, cp, n)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/black_76.py

@@ -0,0 +1,217 @@
+from scipy import stats
+from math import log, pow, sqrt, exp
+from typing import Tuple
+
+cdf = stats.norm.cdf
+pdf = stats.norm.pdf
+
+
+def calculate_d1(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float
+) -> float:
+    """Calculate option D1 value"""
+    d1: float = (log(s / k) + (0.5 * pow(v, 2)) * t) / (v * sqrt(t))
+    return d1
+
+
+def calculate_price(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0
+) -> float:
+    """Calculate option price"""
+    # Return option space value if volatility not positive
+    if v <= 0:
+        return max(0, cp * (s - k))
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, r, v)
+    d2: float = d1 - v * sqrt(t)
+
+    price: float = cp * (s * cdf(cp * d1) - k * cdf(cp * d2)) * exp(-r * t)
+    return price
+
+
+def calculate_delta(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0
+) -> float:
+    """Calculate option delta"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    _delta: float = cp * exp(-r * t) * cdf(cp * d1)
+    delta: float = _delta * s * 0.01
+    return delta
+
+
+def calculate_gamma(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option gamma"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    _gamma: float = exp(-r * t) * pdf(d1) / (s * v * sqrt(t))
+    gamma: float = _gamma * pow(s, 2) * 0.0001
+
+    return gamma
+
+
+def calculate_theta(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0,
+    annual_days: int = 240
+) -> float:
+    """Calculate option theta"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+    d2: float = d1 - v * sqrt(t)
+
+    _theta = -s * exp(-r * t) * pdf(d1) * v / (2 * sqrt(t)) \
+        + cp * r * s * exp(-r * t) * cdf(cp * d1) \
+        - cp * r * k * exp(-r * t) * cdf(cp * d2)
+    theta = _theta / annual_days
+
+    return theta
+
+
+def calculate_vega(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option vega(%)"""
+    vega: float = calculate_original_vega(s, k, r, t, v, d1) / 100
+    return vega
+
+
+def calculate_original_vega(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option vega"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    vega: float = s * exp(-r * t) * pdf(d1) * sqrt(t)
+
+    return vega
+
+
+def calculate_greeks(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    annual_days: int = 240
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    d1: float = calculate_d1(s, k, r, t, v)
+    price: float = calculate_price(s, k, r, t, v, cp, d1)
+    delta: float = calculate_delta(s, k, r, t, v, cp, d1)
+    gamma: float = calculate_gamma(s, k, r, t, v, d1)
+    theta: float = calculate_theta(s, k, r, t, v, cp, d1, annual_days)
+    vega: float = calculate_vega(s, k, r, t, v, d1)
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    price: float,
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    cp: int
+):
+    """Calculate option implied volatility"""
+    # Check option price must be positive
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet: bool = False
+
+    if cp == 1 and (price > (s - k) * exp(-r * t)):
+        meet = True
+    elif cp == -1 and (price > k * exp(-r * t) - s):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v: float = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p: float = calculate_price(s, k, r, t, v, cp)
+        vega: float = calculate_original_vega(s, k, r, t, v, cp)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx: float = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/black_scholes.py

@@ -0,0 +1,216 @@
+from scipy import stats
+from math import log, pow, sqrt, exp
+from typing import Tuple
+
+cdf = stats.norm.cdf
+pdf = stats.norm.pdf
+
+
+def calculate_d1(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float
+) -> float:
+    """Calculate option D1 value"""
+    d1: float = (log(s / k) + (r + 0.5 * pow(v, 2)) * t) / (v * sqrt(t))
+    return d1
+
+
+def calculate_price(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0
+) -> float:
+    """Calculate option price"""
+    # Return option space value if volatility not positive
+    if v <= 0:
+        return max(0, cp * (s - k))
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+    d2: float = d1 - v * sqrt(t)
+
+    price: float = cp * (s * cdf(cp * d1) - k * cdf(cp * d2) * exp(-r * t))
+    return price
+
+
+def calculate_delta(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0
+) -> float:
+    """Calculate option delta"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    _delta: float = cp * cdf(cp * d1)
+    delta: float = _delta * s * 0.01
+    return delta
+
+
+def calculate_gamma(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option gamma"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    _gamma: float = pdf(d1) / (s * v * sqrt(t))
+    gamma: float = _gamma * pow(s, 2) * 0.0001
+
+    return gamma
+
+
+def calculate_theta(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    d1: float = 0.0,
+    annual_days: int = 240
+) -> float:
+    """Calculate option theta"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+    d2: float = d1 - v * sqrt(t)
+
+    _theta = -s * pdf(d1) * v / (2 * sqrt(t)) \
+        - cp * r * k * exp(-r * t) * cdf(cp * d2)
+    theta = _theta / annual_days
+
+    return theta
+
+
+def calculate_vega(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option vega(%)"""
+    vega: float = calculate_original_vega(s, k, r, t, v, d1) / 100
+    return vega
+
+
+def calculate_original_vega(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    d1: float = 0.0
+) -> float:
+    """Calculate option vega"""
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1: float = calculate_d1(s, k, r, t, v)
+
+    vega: float = s * pdf(d1) * sqrt(t)
+
+    return vega
+
+
+def calculate_greeks(
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    v: float,
+    cp: int,
+    annual_days: int = 240
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    d1: float = calculate_d1(s, k, r, t, v)
+    price: float = calculate_price(s, k, r, t, v, cp, d1)
+    delta: float = calculate_delta(s, k, r, t, v, cp, d1)
+    gamma: float = calculate_gamma(s, k, r, t, v, d1)
+    theta: float = calculate_theta(s, k, r, t, v, cp, d1, annual_days)
+    vega: float = calculate_vega(s, k, r, t, v, d1)
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    price: float,
+    s: float,
+    k: float,
+    r: float,
+    t: float,
+    cp: int
+):
+    """Calculate option implied volatility"""
+    # Check option price must be positive
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet: bool = False
+
+    if cp == 1 and (price > (s - k) * exp(-r * t)):
+        meet = True
+    elif cp == -1 and (price > k * exp(-r * t) - s):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v: float = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p: float = calculate_price(s, k, r, t, v, cp)
+        vega: float = calculate_original_vega(s, k, r, t, v, cp)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx: float = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/cython_model/binomial_tree_cython/binomial_tree_cython.pyx

@@ -0,0 +1,269 @@
+from typing import Tuple
+import numpy as np
+
+cimport numpy as np
+cimport cython
+
+cdef extern from "math.h" nogil:
+    double exp(double)
+    double sqrt(double)
+    double pow(double, double)
+    double fmax(double, double)
+    double fabs(double)
+
+
+DEFAULT_STEP = 15
+
+
+cdef tuple generate_tree(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n
+):
+    """Generate binomial tree for pricing American option."""
+    cdef double dt = t / n
+    cdef double u = exp(v * sqrt(dt))
+    cdef double d = 1 / u
+    cdef double a = 1
+    
+    cdef int tree_size = n + 1
+    cdef np.ndarray[np.double_t, ndim = 2] underlying_tree = np.zeros((tree_size, tree_size))
+    cdef np.ndarray[np.double_t, ndim = 2] option_tree = np.zeros((tree_size, tree_size))
+
+    cdef int i, j
+
+    # Calculate risk neutral probability
+    cdef double p = (a - d) / (u - d)
+    cdef double p1 = p / a
+    cdef double p2 = (1 - p) / a
+
+    # Calculate underlying price tree
+    underlying_tree[0, 0] = f
+
+    for i in range(1, n + 1):
+        underlying_tree[0, i] = underlying_tree[0, i - 1] * u
+        for j in range(1, n + 1):
+            underlying_tree[j, i] = underlying_tree[j - 1, i - 1] * d
+
+    # Calculate option price tree
+    for j in range(n + 1):
+        option_tree[j, n] = max(0, cp * (underlying_tree[j, n] - k))
+
+    for i in range(n - 1, -1, -1):
+        for j in range(i + 1):
+            option_tree[j, i] = max(
+                (p1 * option_tree[j, i + 1] + p2 * option_tree[j + 1, i + 1]),
+                cp * (underlying_tree[j, i] - k)
+            )
+
+    # Return both trees
+    return option_tree, underlying_tree
+
+
+def calculate_price(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP
+) -> float:
+    """Calculate option price"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    return option_tree[0, 0]
+
+
+def calculate_delta(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP
+) -> float:
+    """Calculate option delta"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    option_price_change = option_tree[0, 1] - option_tree[1, 1]
+    underlying_price_change = underlying_tree[0, 1] - underlying_tree[1, 1]
+    return option_price_change / underlying_price_change
+
+
+def calculate_gamma(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP
+) -> float:
+    """Calculate option gamma"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+
+    gamma_delta_1 = (option_tree[0, 2] - option_tree[1, 2]) / \
+        (underlying_tree[0, 2] - underlying_tree[1, 2])
+    gamma_delta_2 = (option_tree[1, 2] - option_tree[2, 2]) / \
+        (underlying_tree[1, 2] - underlying_tree[2, 2])
+    gamma = (gamma_delta_1 - gamma_delta_2) / \
+        (0.5 * (underlying_tree[0, 2] - underlying_tree[2, 2]))
+
+    return gamma
+
+
+def calculate_theta(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP,
+    int annual_days = 240
+) -> float:
+    """Calcualte option theta"""
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+
+    dt = t / n
+    theta = (option_tree[1, 2] - option_tree[0, 0]) / (2 * dt * annual_days)
+
+    return theta
+
+
+def calculate_vega(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP
+) -> float:
+    """Calculate option vega(%)"""
+    vega = calculate_original_vega(f, k, r, t, v, cp, n) / 100
+    return vega
+
+
+cdef double calculate_original_vega(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP
+):
+    """Calculate option vega"""
+    cdef double price_1 = calculate_price(f, k, r, t, v, cp, n)
+    cdef double price_2 = calculate_price(f, k, r, t, v * 1.001, cp, n)
+    cdef double vega = (price_2 - price_1) / (v * 0.001)
+    return vega
+
+
+def calculate_greeks(
+    double f,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int n = DEFAULT_STEP,
+    int annual_days = 240
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    cdef double dt = t / n
+    cdef price, delta, gamma, vega, theta
+    cdef option_price_change, underlying_price_change
+    cdef gamma_delta_1, gamma_delta_2
+
+    option_tree, underlying_tree = generate_tree(f, k, r, t, v, cp, n)
+    option_tree_vega, underlying_tree_vega = generate_tree(f, k, r, t, v * 1.001, cp, n)
+
+    # Price
+    price = option_tree[0, 0]
+
+    # Delta
+    option_price_change = option_tree[0, 1] - option_tree[1, 1]
+    underlying_price_change = underlying_tree[0, 1] - underlying_tree[1, 1]
+    delta = option_price_change / underlying_price_change
+
+    # Gamma
+    gamma_delta_1 = (option_tree[0, 2] - option_tree[1, 2]) / \
+        (underlying_tree[0, 2] - underlying_tree[1, 2])
+    gamma_delta_2 = (option_tree[1, 2] - option_tree[2, 2]) / \
+        (underlying_tree[1, 2] - underlying_tree[2, 2])
+    gamma = (gamma_delta_1 - gamma_delta_2) / \
+        (0.5 * (underlying_tree[0, 2] - underlying_tree[2, 2]))
+
+    # Theta
+    theta = (option_tree[1, 2] - option_tree[0, 0]) / (2 * dt * annual_days)
+
+    # Vega
+    vega = (option_tree_vega[0, 0] - option_tree[0, 0]) / (0.001 * v * 100)
+
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    double price,
+    double f,
+    double k,
+    double r,
+    double t,
+    int cp,
+    int n = DEFAULT_STEP
+) -> float:
+    """Calculate option implied volatility"""
+    cdef double p, v, dx, vega
+
+    # Check option price must be position
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet = False
+
+    if cp == 1 and price > (f - k):
+        meet = True
+    elif cp == -1 and price > (k - f):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p = calculate_price(f, k, r, t, v, cp, n)
+        vega = calculate_original_vega(f, k, r, t, v, cp, n)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/cython_model/binomial_tree_cython/setup.py

@@ -0,0 +1,9 @@
+from distutils.core import setup
+from Cython.Build import cythonize
+import numpy
+
+setup(
+    name='binomial_tree_cython',
+    ext_modules=cythonize("binomial_tree_cython.pyx"),
+    include_dirs=[numpy.get_include()]
+)

vnpy/app/option_master/pricing/cython_model/black_76_cython/black_76_cython.pyx

@@ -0,0 +1,239 @@
+from typing import Tuple
+
+cdef extern from "math.h" nogil:
+    double exp(double)
+    double sqrt(double)
+    double pow(double, double)
+    double log(double)
+    double erf(double)
+    double fabs(double)
+
+
+cdef double cdf(double x):
+    return 0.5 * (1 + erf(x / sqrt(2.0)))
+
+
+cdef double pdf(double x):
+    # 1 / sqrt(2 * 3.1416) = 0.3989422804014327
+    return exp(- pow(x, 2) * 0.5) * 0.3989422804014327
+
+
+cdef double calculate_d1(double s, double k, double r, double t, double v):
+    """Calculate option D1 value"""
+    return (log(s / k) + (0.5 * pow(v, 2)) * t) / (v * sqrt(t))
+
+
+def calculate_price(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0
+) -> float:
+    """Calculate option price"""
+    cdef double d2, price
+
+    # Return option space value if volatility not positive
+    if v <= 0:
+        return max(0, cp * (s - k))
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, r, v)
+    d2 = d1 - v * sqrt(t)
+
+    price = cp * (s * cdf(cp * d1) - k * cdf(cp * d2)) * exp(-r * t)
+    return price
+
+
+def calculate_delta(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0
+) -> float:
+    """Calculate option delta"""
+    cdef _delta, delta
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    _delta: float = cp * exp(-r * t) * cdf(cp * d1)
+    delta: float = _delta * s * 0.01
+    return delta
+
+
+def calculate_gamma(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option gamma"""
+    cdef _gamma, gamma
+
+    if v <= 0 or s <= 0 or t<= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    _gamma = exp(-r * t) * pdf(d1) / (s * v * sqrt(t))
+    gamma = _gamma * pow(s, 2) * 0.0001
+
+    return gamma
+
+
+def calculate_theta(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0,
+    int annual_days = 240
+) -> float:
+    """Calculate option theta"""
+    cdef double d2, _theta, theta
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+    d2: float = d1 - v * sqrt(t)
+
+    _theta = -s * exp(-r * t) * pdf(d1) * v / (2 * sqrt(t)) \
+        + cp * r * s * exp(-r * t) * cdf(cp * d1) \
+        - cp * r * k * exp(-r * t) * cdf(cp * d2)
+    theta = _theta / annual_days
+
+    return theta
+
+
+def calculate_vega(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option vega(%)"""
+    vega: float = calculate_original_vega(s, k, r, t, v, d1) / 100
+    return vega
+
+
+def calculate_original_vega(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option vega"""
+    cdef double vega
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    vega: float = s * exp(-r * t) * pdf(d1) * sqrt(t)
+
+    return vega
+
+
+def calculate_greeks(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int annual_days = 240,
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    cdef double d1, price, delta, gamma, theta, vega
+
+    d1 = calculate_d1(s, k, r, t, v)
+    
+    price = calculate_price(s, k, r, t, v, cp, d1)
+    delta = calculate_delta(s, k, r, t, v, cp, d1)
+    gamma = calculate_gamma(s, k, r, t, v, d1)
+    theta = calculate_theta(s, k, r, t, v, cp, d1, annual_days)
+    vega = calculate_vega(s, k, r, t, v, d1)
+    
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    double price,
+    double s,
+    double k,
+    double r,
+    double t,
+    int cp
+):
+    """Calculate option implied volatility"""
+    cdef bint meet
+    cdef double v, p, vega, dx
+
+    # Check option prive must be positive
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet = False
+
+    if cp == 1 and (price > (s - k) * exp(-r * t)):
+        meet = True
+    elif cp == -1 and (price > k * exp(-r * t) - s):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p = calculate_price(s, k, r, t, v, cp)
+        vega = calculate_original_vega(s, k, r, t, v, cp)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/cython_model/black_76_cython/setup.py

@@ -0,0 +1,7 @@
+from distutils.core import setup
+from Cython.Build import cythonize
+
+setup(
+    name='black_76_cython',
+    ext_modules=cythonize("black_76_cython.pyx"),
+)

vnpy/app/option_master/pricing/cython_model/black_scholes_cython/black_scholes_cython.pyx

@@ -0,0 +1,238 @@
+from typing import Tuple
+
+cdef extern from "math.h" nogil:
+    double exp(double)
+    double sqrt(double)
+    double pow(double, double)
+    double log(double)
+    double erf(double)
+    double fabs(double)
+
+
+cdef double cdf(double x):
+    return 0.5 * (1 + erf(x / sqrt(2.0)))
+
+
+cdef double pdf(double x):
+    # 1 / sqrt(2 * 3.1416) = 0.3989422804014327
+    return exp(- pow(x, 2) * 0.5) * 0.3989422804014327
+
+
+cdef double calculate_d1(double s, double k, double r, double t, double v):
+    """Calculate option D1 value"""
+    return (log(s / k) + (r + 0.5 * pow(v, 2)) * t) / (v * sqrt(t))
+
+
+def calculate_price(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0
+) -> float:
+    """Calculate option price"""
+    cdef double d2, price
+
+    # Return option space value if volatility not positive
+    if v <= 0:
+        return max(0, cp * (s - k))
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, r, v)
+    d2 = d1 - v * sqrt(t)
+
+    price = cp * (s * cdf(cp * d1) - k * cdf(cp * d2) * exp(-r * t))
+    return price
+
+
+def calculate_delta(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0
+) -> float:
+    """Calculate option delta"""
+    cdef _delta, delta
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    _delta: float = cp * cdf(cp * d1)
+    delta: float = _delta * s * 0.01
+    return delta
+
+
+def calculate_gamma(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option gamma"""
+    cdef _gamma, gamma
+
+    if v <= 0 or s <= 0 or t<= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    _gamma = pdf(d1) / (s * v * sqrt(t))
+    gamma = _gamma * pow(s, 2) * 0.0001
+
+    return gamma
+
+
+def calculate_theta(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    double d1 = 0.0,
+    int annual_days = 240
+) -> float:
+    """Calculate option theta"""
+    cdef double d2, _theta, theta
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+    d2: float = d1 - v * sqrt(t)
+
+    _theta = -s * pdf(d1) * v / (2 * sqrt(t)) \
+        - cp * r * k * exp(-r * t) * cdf(cp * d2)
+    theta = _theta / annual_days
+
+    return theta
+
+
+def calculate_vega(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option vega(%)"""
+    vega: float = calculate_original_vega(s, k, r, t, v, d1) / 100
+    return vega
+
+
+def calculate_original_vega(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    double d1 = 0.0
+) -> float:
+    """Calculate option vega"""
+    cdef double vega
+
+    if v <= 0:
+        return 0
+
+    if not d1:
+        d1 = calculate_d1(s, k, r, t, v)
+
+    vega: float = s * pdf(d1) * sqrt(t)
+
+    return vega
+
+
+def calculate_greeks(
+    double s,
+    double k,
+    double r,
+    double t,
+    double v,
+    int cp,
+    int annual_days = 240,
+) -> Tuple[float, float, float, float, float]:
+    """Calculate option price and greeks"""
+    cdef double d1, price, delta, gamma, theta, vega
+
+    d1 = calculate_d1(s, k, r, t, v)
+    
+    price = calculate_price(s, k, r, t, v, cp, d1)
+    delta = calculate_delta(s, k, r, t, v, cp, d1)
+    gamma = calculate_gamma(s, k, r, t, v, d1)
+    theta = calculate_theta(s, k, r, t, v, cp, d1, annual_days)
+    vega = calculate_vega(s, k, r, t, v, d1)
+    
+    return price, delta, gamma, theta, vega
+
+
+def calculate_impv(
+    double price,
+    double s,
+    double k,
+    double r,
+    double t,
+    int cp
+):
+    """Calculate option implied volatility"""
+    cdef bint meet
+    cdef double v, p, vega, dx
+
+    # Check option prive must be positive
+    if price <= 0:
+        return 0
+
+    # Check if option price meets minimum value (exercise value)
+    meet = False
+
+    if cp == 1 and (price > (s - k) * exp(-r * t)):
+        meet = True
+    elif cp == -1 and (price > k * exp(-r * t) - s):
+        meet = True
+
+    # If minimum value not met, return 0
+    if not meet:
+        return 0
+
+    # Calculate implied volatility with Newton's method
+    v = 0.3     # Initial guess of volatility
+
+    for i in range(50):
+        # Caculate option price and vega with current guess
+        p = calculate_price(s, k, r, t, v, cp)
+        vega = calculate_original_vega(s, k, r, t, v, cp)
+
+        # Break loop if vega too close to 0
+        if not vega:
+            break
+
+        # Calculate error value
+        dx = (price - p) / vega
+
+        # Check if error value meets requirement
+        if abs(dx) < 0.00001:
+            break
+
+        # Calculate guessed implied volatility of next round
+        v += dx
+
+    # Check end result to be non-negative
+    if v <= 0:
+        return 0
+
+    # Round to 4 decimal places
+    v = round(v, 4)
+
+    return v

vnpy/app/option_master/pricing/cython_model/black_scholes_cython/setup.py

@@ -0,0 +1,7 @@
+from distutils.core import setup
+from Cython.Build import cythonize
+
+setup(
+    name='black_scholes_cython',
+    ext_modules=cythonize("black_scholes_cython.pyx"),
+)

vnpy/app/option_master/time.py

@@ -0,0 +1,61 @@
+from datetime import datetime, timedelta
+
+
+ANNUAL_DAYS = 240
+
+# For checking public holidays
+PUBLIC_HOLIDAYS = set([
+    datetime(2020, 1, 1),       # New Year
+
+    datetime(2020, 1, 24),      # Spring Festival
+    datetime(2020, 1, 25),
+    datetime(2020, 1, 26),
+    datetime(2020, 1, 27),
+    datetime(2020, 1, 28),
+    datetime(2020, 1, 29),
+    datetime(2020, 1, 30),
+
+    datetime(2020, 4, 4),       # Qingming Festval
+    datetime(2020, 4, 5),
+    datetime(2020, 4, 6),
+
+    datetime(2020, 5, 1),       # Labour Day
+    datetime(2020, 5, 2),
+    datetime(2020, 5, 3),
+    datetime(2020, 5, 4),
+    datetime(2020, 5, 5),
+
+    datetime(2020, 6, 25),      # Duanwu Festival
+    datetime(2020, 6, 26),
+    datetime(2020, 6, 27),
+
+    datetime(2020, 10, 1),      # National Day
+    datetime(2020, 10, 2),
+    datetime(2020, 10, 3),
+    datetime(2020, 10, 4),
+    datetime(2020, 10, 5),
+    datetime(2020, 10, 6),
+    datetime(2020, 10, 7),
+    datetime(2020, 10, 8),
+])
+
+
+def calculate_days_to_expiry(option_expiry: datetime) -> int:
+    """"""
+    current_dt = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0)
+    days = 1
+
+    while current_dt <= option_expiry:
+        current_dt += timedelta(days=1)
+
+        # Ignore weekends
+        if current_dt.weekday() in [5, 6]:
+            continue
+
+        # Ignore public holidays
+        if current_dt in PUBLIC_HOLIDAYS:
+            continue
+
+        days += 1
+
+    return days

vnpy/app/option_master/ui/__init__.py

@@ -0,0 +1 @@
+from .widget import OptionManager

vnpy/app/option_master/ui/chart.py

@@ -0,0 +1,408 @@
+from typing import Dict, List
+
+import pyqtgraph as pg
+
+from vnpy.trader.ui import QtWidgets, QtCore
+from vnpy.trader.event import EVENT_TIMER
+
+from ..base import PortfolioData
+from ..engine import OptionEngine, Event
+from ..time import ANNUAL_DAYS
+
+import numpy as np
+import matplotlib
+matplotlib.use('Qt5Agg')    # noqa
+import matplotlib.pyplot as plt
+from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas  # noqa
+from matplotlib.figure import Figure
+from mpl_toolkits.mplot3d import Axes3D     # noqa
+from pylab import mpl
+
+plt.style.use("dark_background")
+mpl.rcParams['font.sans-serif'] = ['Microsoft YaHei']   # set font for Chinese
+mpl.rcParams['axes.unicode_minus'] = False
+
+
+class OptionVolatilityChart(QtWidgets.QWidget):
+
+    signal_timer = QtCore.pyqtSignal(Event)
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.portfolio_name = portfolio_name
+
+        self.timer_count = 0
+        self.timer_trigger = 3
+
+        self.chain_checks: Dict[str, QtWidgets.QCheckBox] = {}
+        self.put_curves: Dict[str, pg.PlotCurveItem] = {}
+        self.call_curves: Dict[str, pg.PlotCurveItem] = {}
+        self.pricing_curves: Dict[str, pg.PlotCurveItem] = {}
+
+        self.colors: List = [
+            (255, 0, 0),
+            (255, 255, 0),
+            (0, 255, 0),
+            (0, 0, 255),
+            (0, 128, 0),
+            (19, 234, 201),
+            (195, 46, 212),
+            (250, 194, 5),
+            (0, 114, 189),
+        ]
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("波动率曲线")
+
+        # Create checkbox for each chain
+        hbox = QtWidgets.QHBoxLayout()
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        chain_symbols = list(portfolio.chains.keys())
+        chain_symbols.sort()
+
+        hbox.addStretch()
+
+        for chain_symbol in chain_symbols:
+            chain_check = QtWidgets.QCheckBox()
+            chain_check.setText(chain_symbol.split(".")[0])
+            chain_check.setChecked(True)
+            chain_check.stateChanged.connect(self.update_curve_visible)
+
+            hbox.addWidget(chain_check)
+            self.chain_checks[chain_symbol] = chain_check
+
+        hbox.addStretch()
+
+        # Create graphics window
+        pg.setConfigOptions(antialias=True)
+
+        graphics_window = pg.GraphicsWindow()
+        self.impv_chart = graphics_window.addPlot(title="隐含波动率曲线")
+        self.impv_chart.showGrid(x=True, y=True)
+        self.impv_chart.setLabel("left", "波动率")
+        self.impv_chart.setLabel("bottom", "行权价")
+        self.impv_chart.addLegend()
+        self.impv_chart.setMenuEnabled(False)
+        self.impv_chart.setMouseEnabled(False, False)
+
+        for chain_symbol in chain_symbols:
+            self.add_impv_curve(chain_symbol)
+
+        # Set Layout
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addLayout(hbox)
+        vbox.addWidget(graphics_window)
+        self.setLayout(vbox)
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_timer.connect(self.process_timer_event)
+
+        self.event_engine.register(EVENT_TIMER, self.signal_timer.emit)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        self.timer_count += 1
+        if self.timer_count < self.timer_trigger:
+            return
+        self.timer_trigger = 0
+
+        self.update_curve_data()
+
+    def add_impv_curve(self, chain_symbol: str) -> None:
+        """"""
+        symbol_size = 14
+        symbol = chain_symbol.split(".")[0]
+        color = self.colors.pop(0)
+        pen = pg.mkPen(color, width=2)
+
+        self.call_curves[chain_symbol] = self.impv_chart.plot(
+            symbolSize=symbol_size,
+            symbol="t1",
+            name=symbol + " 看涨",
+            pen=pen,
+            symbolBrush=color
+        )
+        self.put_curves[chain_symbol] = self.impv_chart.plot(
+            symbolSize=symbol_size,
+            symbol="t",
+            name=symbol + " 看跌",
+            pen=pen,
+            symbolBrush=color
+        )
+        self.pricing_curves[chain_symbol] = self.impv_chart.plot(
+            symbolSize=symbol_size,
+            symbol="o",
+            name=symbol + " 定价",
+            pen=pen,
+            symbolBrush=color
+        )
+
+    def update_curve_data(self) -> None:
+        """"""
+        portfolio: PortfolioData = self.option_engine.get_portfolio(self.portfolio_name)
+
+        for chain in portfolio.chains.values():
+            call_impv = []
+            put_impv = []
+            pricing_impv = []
+            strike_prices = []
+
+            for index in chain.indexes:
+                call = chain.calls[index]
+                call_impv.append(call.mid_impv * 100)
+                pricing_impv.append(call.pricing_impv * 100)
+                strike_prices.append(call.strike_price)
+
+                put = chain.puts[index]
+                put_impv.append(put.mid_impv * 100)
+
+            self.call_curves[chain.chain_symbol].setData(
+                y=call_impv,
+                x=strike_prices
+            )
+            self.put_curves[chain.chain_symbol].setData(
+                y=put_impv,
+                x=strike_prices
+            )
+            self.pricing_curves[chain.chain_symbol].setData(
+                y=pricing_impv,
+                x=strike_prices
+            )
+
+    def update_curve_visible(self) -> None:
+        """"""
+        # Remove old
+        legend: pg.LegendItem = self.impv_chart.legend
+        legend.scene().removeItem(legend)
+
+        self.impv_chart.clear()
+
+        # Add new
+        self.impv_chart.addLegend()
+
+        for chain_symbol, checkbox in self.chain_checks.items():
+            if checkbox.isChecked():
+                call_curve = self.call_curves[chain_symbol]
+                put_curve = self.put_curves[chain_symbol]
+                pricing_curve = self.pricing_curves[chain_symbol]
+
+                self.impv_chart.addItem(call_curve)
+                self.impv_chart.addItem(put_curve)
+                self.impv_chart.addItem(pricing_curve)
+
+
+class ScenarioAnalysisChart(QtWidgets.QWidget):
+    """"""
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.portfolio_name = portfolio_name
+
+        self.init_ui()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("情景分析")
+
+        # Create widgets
+        self.price_change_spin = QtWidgets.QSpinBox()
+        self.price_change_spin.setSuffix("%")
+        self.price_change_spin.setMinimum(2)
+        self.price_change_spin.setValue(10)
+
+        self.impv_change_spin = QtWidgets.QSpinBox()
+        self.impv_change_spin.setSuffix("%")
+        self.impv_change_spin.setMinimum(2)
+        self.impv_change_spin.setValue(10)
+
+        self.time_change_spin = QtWidgets.QSpinBox()
+        self.time_change_spin.setSuffix("日")
+        self.time_change_spin.setMinimum(0)
+        self.time_change_spin.setValue(1)
+
+        self.target_combo = QtWidgets.QComboBox()
+        self.target_combo.addItems([
+            "盈亏",
+            "Delta",
+            "Gamma",
+            "Theta",
+            "Vega"
+        ])
+
+        button = QtWidgets.QPushButton("执行分析")
+        button.clicked.connect(self.run_analysis)
+
+        # Create charts
+        fig = Figure()
+        canvas = FigureCanvas(fig)
+
+        self.ax = fig.gca(projection="3d")
+        self.ax.set_xlabel("价格涨跌 %")
+        self.ax.set_ylabel("波动率涨跌 %")
+        self.ax.set_zlabel("盈亏")
+
+        # Set layout
+        hbox1 = QtWidgets.QHBoxLayout()
+        hbox1.addWidget(QtWidgets.QLabel("目标数据"))
+        hbox1.addWidget(self.target_combo)
+        hbox1.addWidget(QtWidgets.QLabel("时间衰减"))
+        hbox1.addWidget(self.time_change_spin)
+        hbox1.addStretch()
+
+        hbox2 = QtWidgets.QHBoxLayout()
+        hbox2.addWidget(QtWidgets.QLabel("价格变动"))
+        hbox2.addWidget(self.price_change_spin)
+        hbox2.addWidget(QtWidgets.QLabel("波动率变动"))
+        hbox2.addWidget(self.impv_change_spin)
+        hbox2.addStretch()
+        hbox2.addWidget(button)
+
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addLayout(hbox1)
+        vbox.addLayout(hbox2)
+        vbox.addWidget(canvas)
+
+        self.setLayout(vbox)
+
+    def run_analysis(self) -> None:
+        """"""
+        # Generate range
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        price_change_range = self.price_change_spin.value()
+        price_changes = np.arange(-price_change_range, price_change_range + 1) / 100
+
+        impv_change_range = self.impv_change_spin.value()
+        impv_changes = np.arange(-impv_change_range, impv_change_range + 1) / 100
+
+        time_change = self.time_change_spin.value() / ANNUAL_DAYS
+        target_name = self.target_combo.currentText()
+
+        # Check underlying price exists
+        for underlying in portfolio.underlyings.values():
+            if not underlying.mid_price:
+                QtWidgets.QMessageBox.warning(
+                    self,
+                    "无法执行情景分析",
+                    f"标的物{underlying.symbol}当前中间价为{underlying.mid_price}",
+                    QtWidgets.QMessageBox.Ok
+                )
+                return
+
+        # Run analysis calculation
+        pnls = []
+        deltas = []
+        gammas = []
+        thetas = []
+        vegas = []
+
+        for impv_change in impv_changes:
+            pnl_buf = []
+            delta_buf = []
+            gamma_buf = []
+            theta_buf = []
+            vega_buf = []
+
+            for price_change in price_changes:
+                portfolio_pnl = 0
+                portfolio_delta = 0
+                portfolio_gamma = 0
+                portfolio_theta = 0
+                portfolio_vega = 0
+
+                # Calculate underlying pnl
+                for underlying in portfolio.underlyings.values():
+                    if not underlying.net_pos:
+                        continue
+
+                    value = underlying.mid_price * underlying.net_pos * underlying.size
+                    portfolio_pnl += value * price_change
+                    portfolio_delta += value / 100
+
+                # Calculate option pnl
+                for option in portfolio.options.values():
+                    if not option.net_pos:
+                        continue
+
+                    new_underlying_price = option.underlying.mid_price * (1 + price_change)
+                    new_time_to_expiry = max(option.time_to_expiry - time_change, 0)
+                    new_mid_impv = option.mid_impv * (1 + impv_change)
+
+                    new_price, delta, gamma, theta, vega = option.calculate_greeks(
+                        new_underlying_price,
+                        option.strike_price,
+                        option.interest_rate,
+                        new_time_to_expiry,
+                        new_mid_impv,
+                        option.option_type
+                    )
+
+                    diff = new_price - option.tick.last_price
+                    multiplier = option.net_pos * option.size
+
+                    portfolio_pnl += diff * multiplier
+                    portfolio_delta += delta * multiplier
+                    portfolio_gamma += gamma * multiplier
+                    portfolio_theta += theta * multiplier
+                    portfolio_vega += vega * multiplier
+
+                pnl_buf.append(portfolio_pnl)
+                delta_buf.append(portfolio_delta)
+                gamma_buf.append(portfolio_gamma)
+                theta_buf.append(portfolio_theta)
+                vega_buf.append(portfolio_vega)
+
+            pnls.append(pnl_buf)
+            deltas.append(delta_buf)
+            gammas.append(gamma_buf)
+            thetas.append(theta_buf)
+            vegas.append(vega_buf)
+
+        # Plot chart
+        if target_name == "盈亏":
+            target_data = pnls
+        elif target_name == "Delta":
+            target_data = deltas
+        elif target_name == "Gamma":
+            target_data = gammas
+        elif target_name == "Theta":
+            target_data = thetas
+        else:
+            target_data = vegas
+
+        self.update_chart(price_changes * 100, impv_changes * 100, target_data, target_name)
+
+    def update_chart(
+        self,
+        price_changes: np.array,
+        impv_changes: np.array,
+        target_data: List[List[float]],
+        target_name: str
+    ) -> None:
+        """"""
+        self.ax.clear()
+
+        price_changes, impv_changes = np.meshgrid(price_changes, impv_changes)
+
+        self.ax.set_zlabel(target_name)
+        self.ax.plot_surface(
+            X=price_changes,
+            Y=impv_changes,
+            Z=np.array(target_data),
+            rstride=1,
+            cstride=1,
+            cmap=matplotlib.cm.coolwarm
+        )

vnpy/app/option_master/ui/manager.py

@@ -0,0 +1,891 @@
+from typing import Dict, List, Tuple
+from copy import copy
+from functools import partial
+
+from scipy import interpolate
+
+from vnpy.event import Event
+from vnpy.trader.ui import QtWidgets, QtCore
+from vnpy.trader.event import EVENT_TICK, EVENT_TIMER
+
+from ..engine import OptionEngine
+from ..base import (
+    EVENT_OPTION_ALGO_PRICING,
+    EVENT_OPTION_ALGO_TRADING,
+    EVENT_OPTION_ALGO_STATUS,
+    EVENT_OPTION_ALGO_LOG
+)
+from .monitor import (
+    MonitorCell, IndexCell, BidCell, AskCell, PosCell,
+    COLOR_WHITE, COLOR_BLACK
+)
+
+
+class AlgoSpinBox(QtWidgets.QSpinBox):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.setMaximum(999999)
+        self.setMinimum(-999999)
+        self.setAlignment(QtCore.Qt.AlignCenter)
+
+    def get_value(self) -> int:
+        """"""
+        return self.value()
+
+    def update_status(self, active: bool) -> None:
+        """"""
+        self.setEnabled(not active)
+
+
+class AlgoPositiveSpinBox(AlgoSpinBox):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.setMinimum(0)
+
+
+class AlgoDoubleSpinBox(QtWidgets.QDoubleSpinBox):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.setDecimals(1)
+        self.setMaximum(9999.9)
+        self.setMinimum(0)
+        self.setAlignment(QtCore.Qt.AlignCenter)
+
+    def get_value(self) -> float:
+        """"""
+        return self.value()
+
+    def update_status(self, active: bool) -> None:
+        """"""
+        self.setEnabled(not active)
+
+
+class AlgoDirectionCombo(QtWidgets.QComboBox):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.addItems([
+            "双向",
+            "做多",
+            "做空"
+        ])
+
+    def get_value(self) -> Dict[str, bool]:
+        """"""
+        if self.currentText() == "双向":
+            value = {
+                "long_allowed": True,
+                "short_allowed": True
+            }
+        elif self.currentText() == "做多":
+            value = {
+                "long_allowed": True,
+                "short_allowed": False
+            }
+        else:
+            value = {
+                "long_allowed": False,
+                "short_allowed": True
+            }
+
+        return value
+
+    def update_status(self, active: bool) -> None:
+        """"""
+        self.setEnabled(not active)
+
+
+class AlgoPricingButton(QtWidgets.QPushButton):
+    """"""
+
+    def __init__(self, vt_symbol: str, manager: "ElectronicEyeManager"):
+        """"""
+        super().__init__()
+
+        self.vt_symbol = vt_symbol
+        self.manager = manager
+
+        self.active = False
+        self.setText("N")
+        self.clicked.connect(self.on_clicked)
+
+    def on_clicked(self) -> None:
+        """"""
+        if self.active:
+            self.manager.stop_algo_pricing(self.vt_symbol)
+        else:
+            self.manager.start_algo_pricing(self.vt_symbol)
+
+    def update_status(self, active: bool) -> None:
+        """"""
+        self.active = active
+
+        if active:
+            self.setText("Y")
+        else:
+            self.setText("N")
+
+
+class AlgoTradingButton(QtWidgets.QPushButton):
+    """"""
+
+    def __init__(self, vt_symbol: str, manager: "ElectronicEyeManager"):
+        """"""
+        super().__init__()
+
+        self.vt_symbol = vt_symbol
+        self.manager = manager
+
+        self.active = False
+        self.setText("N")
+        self.clicked.connect(self.on_clicked)
+
+    def on_clicked(self) -> None:
+        """"""
+        if self.active:
+            self.manager.stop_algo_trading(self.vt_symbol)
+        else:
+            self.manager.start_algo_trading(self.vt_symbol)
+
+    def update_status(self, active: bool) -> None:
+        """"""
+        self.active = active
+
+        if active:
+            self.setText("Y")
+        else:
+            self.setText("N")
+
+
+class ElectronicEyeMonitor(QtWidgets.QTableWidget):
+    """"""
+
+    signal_tick = QtCore.pyqtSignal(Event)
+    signal_pricing = QtCore.pyqtSignal(Event)
+    signal_status = QtCore.pyqtSignal(Event)
+    signal_trading = QtCore.pyqtSignal(Event)
+
+    headers: List[Dict] = [
+        {"name": "bid_volume", "display": "买量", "cell": BidCell},
+        {"name": "bid_price", "display": "买价", "cell": BidCell},
+        {"name": "ask_price", "display": "卖价", "cell": AskCell},
+        {"name": "ask_volume", "display": "卖量", "cell": AskCell},
+        {"name": "algo_bid_price", "display": "目标\n买价", "cell": BidCell},
+        {"name": "algo_ask_price", "display": "目标\n卖价", "cell": AskCell},
+        {"name": "algo_spread", "display": "价差", "cell": MonitorCell},
+        {"name": "ref_price", "display": "理论价", "cell": MonitorCell},
+        {"name": "pricing_impv", "display": "定价\n隐波", "cell": MonitorCell},
+        {"name": "net_pos", "display": "净持仓", "cell": PosCell},
+
+        {"name": "price_spread", "display": "价格\n价差", "cell": AlgoDoubleSpinBox},
+        {"name": "volatility_spread", "display": "隐波\n价差", "cell": AlgoDoubleSpinBox},
+        {"name": "max_pos", "display": "持仓\n上限", "cell": AlgoPositiveSpinBox},
+        {"name": "target_pos", "display": "目标\n持仓", "cell": AlgoSpinBox},
+        {"name": "max_order_size", "display": "最大\n委托", "cell": AlgoPositiveSpinBox},
+        {"name": "direction", "display": "方向", "cell": AlgoDirectionCombo},
+        {"name": "pricing_active", "display": "定价", "cell": AlgoPricingButton},
+        {"name": "trading_active", "display": "交易", "cell": AlgoTradingButton},
+
+    ]
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.algo_engine = option_engine.algo_engine
+        self.portfolio_name = portfolio_name
+
+        self.cells: Dict[str, Dict] = {}
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("电子眼")
+        self.verticalHeader().setVisible(False)
+        self.setEditTriggers(self.NoEditTriggers)
+
+        # Set table row and column numbers
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        row_count = 0
+        for chain in portfolio.chains.values():
+            row_count += (1 + len(chain.indexes))
+        self.setRowCount(row_count)
+
+        column_count = len(self.headers) * 2 + 1
+        self.setColumnCount(column_count)
+
+        call_labels = [d["display"] for d in self.headers]
+        put_labels = copy(call_labels)
+        put_labels.reverse()
+        labels = call_labels + ["行权价"] + put_labels
+        self.setHorizontalHeaderLabels(labels)
+
+        # Init cells
+        strike_column = len(self.headers)
+        current_row = 0
+
+        chain_symbols = list(portfolio.chains.keys())
+        chain_symbols.sort()
+
+        for chain_symbol in chain_symbols:
+            chain = portfolio.get_chain(chain_symbol)
+
+            self.setItem(
+                current_row,
+                strike_column,
+                IndexCell(chain.chain_symbol.split(".")[0])
+            )
+
+            for index in chain.indexes:
+                call = chain.calls[index]
+                put = chain.puts[index]
+
+                current_row += 1
+
+                # Call cells
+                call_cells = {}
+
+                for column, d in enumerate(self.headers):
+                    cell_type = d["cell"]
+
+                    if issubclass(cell_type, QtWidgets.QPushButton):
+                        cell = cell_type(call.vt_symbol, self)
+                    else:
+                        cell = cell_type()
+
+                    call_cells[d["name"]] = cell
+
+                    if isinstance(cell, QtWidgets.QTableWidgetItem):
+                        self.setItem(current_row, column, cell)
+                    else:
+                        self.setCellWidget(current_row, column, cell)
+
+                self.cells[call.vt_symbol] = call_cells
+
+                # Put cells
+                put_cells = {}
+                put_headers = copy(self.headers)
+                put_headers.reverse()
+
+                for column, d in enumerate(put_headers):
+                    column += (strike_column + 1)
+
+                    cell_type = d["cell"]
+
+                    if issubclass(cell_type, QtWidgets.QPushButton):
+                        cell = cell_type(put.vt_symbol, self)
+                    else:
+                        cell = cell_type()
+
+                    put_cells[d["name"]] = cell
+
+                    if isinstance(cell, QtWidgets.QTableWidgetItem):
+                        self.setItem(current_row, column, cell)
+                    else:
+                        self.setCellWidget(current_row, column, cell)
+
+                self.cells[put.vt_symbol] = put_cells
+
+                # Strike cell
+                index_cell = IndexCell(str(call.chain_index))
+                self.setItem(current_row, strike_column, index_cell)
+
+            # Move to next row
+            current_row += 1
+
+        self.resizeColumnsToContents()
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_pricing.connect(self.process_pricing_event)
+        self.signal_trading.connect(self.process_trading_event)
+        self.signal_status.connect(self.process_status_event)
+        self.signal_tick.connect(self.process_tick_event)
+
+        self.event_engine.register(
+            EVENT_OPTION_ALGO_PRICING,
+            self.signal_pricing.emit
+        )
+        self.event_engine.register(
+            EVENT_OPTION_ALGO_TRADING,
+            self.signal_trading.emit
+        )
+        self.event_engine.register(
+            EVENT_OPTION_ALGO_STATUS,
+            self.signal_status.emit
+        )
+        self.event_engine.register(
+            EVENT_TICK,
+            self.signal_tick.emit
+        )
+
+    def process_tick_event(self, event: Event) -> None:
+        """"""
+        tick = event.data
+        cells = self.cells.get(tick.vt_symbol, None)
+        if not cells:
+            return
+
+        cells["bid_price"].setText(str(tick.bid_price_1))
+        cells["ask_price"].setText(str(tick.ask_price_1))
+        cells["bid_volume"].setText(str(tick.bid_volume_1))
+        cells["ask_volume"].setText(str(tick.ask_volume_1))
+
+    def process_status_event(self, event: Event) -> None:
+        """"""
+        algo = event.data
+        cells = self.cells[algo.vt_symbol]
+
+        cells["price_spread"].update_status(algo.pricing_active)
+        cells["volatility_spread"].update_status(algo.pricing_active)
+        cells["pricing_active"].update_status(algo.pricing_active)
+
+        cells["max_pos"].update_status(algo.trading_active)
+        cells["target_pos"].update_status(algo.trading_active)
+        cells["max_order_size"].update_status(algo.trading_active)
+        cells["direction"].update_status(algo.trading_active)
+        cells["trading_active"].update_status(algo.trading_active)
+
+    def process_pricing_event(self, event: Event) -> None:
+        """"""
+        algo = event.data
+        cells = self.cells[algo.vt_symbol]
+
+        if algo.ref_price:
+            cells["algo_bid_price"].setText(str(algo.algo_bid_price))
+            cells["algo_ask_price"].setText(str(algo.algo_ask_price))
+            cells["algo_spread"].setText(str(algo.algo_spread))
+            cells["ref_price"].setText(str(algo.ref_price))
+            cells["pricing_impv"].setText(f"{algo.pricing_impv * 100:.2f}")
+        else:
+            cells["algo_bid_price"].setText("")
+            cells["algo_ask_price"].setText("")
+            cells["algo_spread"].setText("")
+            cells["ref_price"].setText("")
+            cells["pricing_impv"].setText("")
+
+    def process_trading_event(self, event: Event) -> None:
+        """"""
+        algo = event.data
+        cells = self.cells[algo.vt_symbol]
+
+        if algo.trading_active:
+            cells["net_pos"].setText(str(algo.option.net_pos))
+        else:
+            cells["net_pos"].setText("")
+
+    def process_position_event(self, event: Event) -> None:
+        """"""
+        algo = event.data
+
+        cells = self.cells[algo.vt_symbol]
+        cells["net_pos"].setText(str(algo.option.net_pos))
+
+    def start_algo_pricing(self, vt_symbol: str) -> None:
+        """"""
+        cells = self.cells[vt_symbol]
+
+        params = {}
+        params["price_spread"] = cells["price_spread"].get_value()
+        params["volatility_spread"] = cells["volatility_spread"].get_value() / 100
+
+        self.algo_engine.start_algo_pricing(vt_symbol, params)
+
+    def stop_algo_pricing(self, vt_symbol: str) -> None:
+        """"""
+        self.algo_engine.stop_algo_pricing(vt_symbol)
+
+    def start_algo_trading(self, vt_symbol: str) -> None:
+        """"""
+        cells = self.cells[vt_symbol]
+
+        params = cells["direction"].get_value()
+        for name in [
+            "max_pos",
+            "target_pos",
+            "max_order_size"
+        ]:
+            params[name] = cells[name].get_value()
+
+        self.algo_engine.start_algo_trading(vt_symbol, params)
+
+    def stop_algo_trading(self, vt_symbol: str) -> None:
+        """"""
+        self.algo_engine.stop_algo_trading(vt_symbol)
+
+
+class ElectronicEyeManager(QtWidgets.QWidget):
+    """"""
+
+    signal_log = QtCore.pyqtSignal(Event)
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_Engine = option_engine.event_engine
+        self.algo_engine = option_engine.algo_engine
+        self.portfolio_name = portfolio_name
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("期权电子眼")
+
+        self.algo_monitor = ElectronicEyeMonitor(self.option_engine, self.portfolio_name)
+
+        self.log_monitor = QtWidgets.QTextEdit()
+        self.log_monitor.setReadOnly(True)
+        self.log_monitor.setMaximumWidth(400)
+
+        stop_pricing_button = QtWidgets.QPushButton("停止定价")
+        stop_pricing_button.clicked.connect(self.stop_pricing_for_all)
+
+        stop_trading_button = QtWidgets.QPushButton("停止交易")
+        stop_trading_button.clicked.connect(self.stop_trading_for_all)
+
+        self.price_spread_spin = AlgoDoubleSpinBox()
+        self.volatility_spread_spin = AlgoDoubleSpinBox()
+        self.direction_combo = AlgoDirectionCombo()
+        self.max_order_size_spin = AlgoPositiveSpinBox()
+        self.target_pos_spin = AlgoSpinBox()
+        self.max_pos_spin = AlgoPositiveSpinBox()
+
+        price_spread_button = QtWidgets.QPushButton("设置")
+        price_spread_button.clicked.connect(self.set_price_spread_for_all)
+
+        volatility_spread_button = QtWidgets.QPushButton("设置")
+        volatility_spread_button.clicked.connect(self.set_volatility_spread_for_all)
+
+        direction_button = QtWidgets.QPushButton("设置")
+        direction_button.clicked.connect(self.set_direction_for_all)
+
+        max_order_size_button = QtWidgets.QPushButton("设置")
+        max_order_size_button.clicked.connect(self.set_max_order_size_for_all)
+
+        target_pos_button = QtWidgets.QPushButton("设置")
+        target_pos_button.clicked.connect(self.set_target_pos_for_all)
+
+        max_pos_button = QtWidgets.QPushButton("设置")
+        max_pos_button.clicked.connect(self.set_max_pos_for_all)
+
+        QLabel = QtWidgets.QLabel
+        grid = QtWidgets.QGridLayout()
+        grid.addWidget(QLabel("价格价差"), 0, 0)
+        grid.addWidget(self.price_spread_spin, 0, 1)
+        grid.addWidget(price_spread_button, 0, 2)
+        grid.addWidget(QLabel("隐波价差"), 1, 0)
+        grid.addWidget(self.volatility_spread_spin, 1, 1)
+        grid.addWidget(volatility_spread_button, 1, 2)
+        grid.addWidget(QLabel("持仓上限"), 2, 0)
+        grid.addWidget(self.max_pos_spin, 2, 1)
+        grid.addWidget(max_pos_button, 2, 2)
+        grid.addWidget(QLabel("目标持仓"), 3, 0)
+        grid.addWidget(self.target_pos_spin, 3, 1)
+        grid.addWidget(target_pos_button, 3, 2)
+        grid.addWidget(QLabel("最大委托"), 4, 0)
+        grid.addWidget(self.max_order_size_spin, 4, 1)
+        grid.addWidget(max_order_size_button, 4, 2)
+        grid.addWidget(QLabel("方向"), 5, 0)
+        grid.addWidget(self.direction_combo, 5, 1)
+        grid.addWidget(direction_button, 5, 2)
+
+        hbox1 = QtWidgets.QHBoxLayout()
+        hbox1.addWidget(stop_pricing_button)
+        hbox1.addWidget(stop_trading_button)
+
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addLayout(hbox1)
+        vbox.addLayout(grid)
+        vbox.addWidget(self.log_monitor)
+
+        hbox = QtWidgets.QHBoxLayout()
+        hbox.addWidget(self.algo_monitor)
+        hbox.addLayout(vbox)
+
+        self.setLayout(hbox)
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_log.connect(self.process_log_event)
+
+        self.event_Engine.register(EVENT_OPTION_ALGO_LOG, self.signal_log.emit)
+
+    def process_log_event(self, event: Event) -> None:
+        """"""
+        log = event.data
+        timestr = log.time.strftime("%H:%M:%S")
+        msg = f"{timestr}  {log.msg}"
+        self.log_monitor.append(msg)
+
+    def show(self) -> None:
+        """"""
+        self.algo_engine.init_engine(self.portfolio_name)
+        self.algo_monitor.resizeColumnsToContents()
+        super().showMaximized()
+
+    def set_price_spread_for_all(self) -> None:
+        """"""
+        price_spread = self.price_spread_spin.get_value()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["price_spread"].isEnabled():
+                cells["price_spread"].setValue(price_spread)
+
+    def set_volatility_spread_for_all(self) -> None:
+        """"""
+        volatility_spread = self.volatility_spread_spin.get_value()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["volatility_spread"].isEnabled():
+                cells["volatility_spread"].setValue(volatility_spread)
+
+    def set_direction_for_all(self) -> None:
+        """"""
+        ix = self.direction_combo.currentIndex()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["direction"].isEnabled():
+                cells["direction"].setCurrentIndex(ix)
+
+    def set_max_order_size_for_all(self) -> None:
+        """"""
+        size = self.max_order_size_spin.get_value()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["max_order_size"].isEnabled():
+                cells["max_order_size"].setValue(size)
+
+    def set_target_pos_for_all(self) -> None:
+        """"""
+        pos = self.target_pos_spin.get_value()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["target_pos"].isEnabled():
+                cells["target_pos"].setValue(pos)
+
+    def set_max_pos_for_all(self) -> None:
+        """"""
+        pos = self.max_pos_spin.get_value()
+
+        for cells in self.algo_monitor.cells.values():
+            if cells["max_pos"].isEnabled():
+                cells["max_pos"].setValue(pos)
+
+    def stop_pricing_for_all(self) -> None:
+        """"""
+        for vt_symbol in self.algo_monitor.cells.keys():
+            self.algo_monitor.stop_algo_pricing(vt_symbol)
+
+    def stop_trading_for_all(self) -> None:
+        """"""
+        for vt_symbol in self.algo_monitor.cells.keys():
+            self.algo_monitor.stop_algo_trading(vt_symbol)
+
+
+class VolatilityDoubleSpinBox(QtWidgets.QDoubleSpinBox):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.setDecimals(1)
+        self.setSuffix("%")
+        self.setMaximum(200.0)
+        self.setMinimum(0)
+
+    def get_value(self) -> float:
+        """"""
+        return self.value()
+
+
+class PricingVolatilityManager(QtWidgets.QWidget):
+    """"""
+
+    signal_timer = QtCore.pyqtSignal(Event)
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.portfolio = option_engine.get_portfolio(portfolio_name)
+
+        self.cells: Dict[Tuple, Dict] = {}
+        self.chain_symbols: List[str] = []
+        self.chain_atm_index: Dict[str, str] = {}
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("波动率管理")
+
+        tab = QtWidgets.QTabWidget()
+        vbox = QtWidgets.QVBoxLayout()
+        vbox.addWidget(tab)
+        self.setLayout(vbox)
+
+        self.chain_symbols = list(self.portfolio.chains.keys())
+        self.chain_symbols.sort()
+
+        for chain_symbol in self.chain_symbols:
+            chain = self.portfolio.get_chain(chain_symbol)
+
+            table = QtWidgets.QTableWidget()
+            table.setEditTriggers(table.NoEditTriggers)
+            table.verticalHeader().setVisible(False)
+            table.setColumnCount(4)
+            table.setRowCount(len(chain.indexes))
+            table.setHorizontalHeaderLabels([
+                "行权价",
+                "中值隐波",
+                "定价隐波",
+                "执行拟合"
+            ])
+            table.horizontalHeader().setSectionResizeMode(
+                QtWidgets.QHeaderView.Stretch
+            )
+
+            for row, index in enumerate(chain.indexes):
+                index_cell = IndexCell(index)
+                mid_impv_cell = MonitorCell("")
+
+                set_func = partial(
+                    self.set_pricing_impv,
+                    chain_symbol=chain_symbol,
+                    index=index
+                )
+                pricing_impv_spin = VolatilityDoubleSpinBox()
+                pricing_impv_spin.setAlignment(QtCore.Qt.AlignCenter)
+                pricing_impv_spin.valueChanged.connect(set_func)
+
+                check = QtWidgets.QCheckBox()
+
+                check_hbox = QtWidgets.QHBoxLayout()
+                check_hbox.setAlignment(QtCore.Qt.AlignCenter)
+                check_hbox.addWidget(check)
+
+                check_widget = QtWidgets.QWidget()
+                check_widget.setLayout(check_hbox)
+
+                table.setItem(row, 0, index_cell)
+                table.setItem(row, 1, mid_impv_cell)
+                table.setCellWidget(row, 2, pricing_impv_spin)
+                table.setCellWidget(row, 3, check_widget)
+
+                cells = {
+                    "mid_impv": mid_impv_cell,
+                    "pricing_impv": pricing_impv_spin,
+                    "check": check
+                }
+
+                self.cells[(chain_symbol, index)] = cells
+
+            reset_func = partial(self.reset_pricing_impv, chain_symbol=chain_symbol)
+            button_reset = QtWidgets.QPushButton("重置")
+            button_reset.clicked.connect(reset_func)
+
+            fit_func = partial(self.fit_pricing_impv, chain_symbol=chain_symbol)
+            button_fit = QtWidgets.QPushButton("拟合")
+            button_fit.clicked.connect(fit_func)
+
+            increase_func = partial(self.increase_pricing_impv, chain_symbol=chain_symbol)
+            button_increase = QtWidgets.QPushButton("+0.1%")
+            button_increase.clicked.connect(increase_func)
+
+            decrease_func = partial(self.decrease_pricing_impv, chain_symbol=chain_symbol)
+            button_decrease = QtWidgets.QPushButton("-0.1%")
+            button_decrease.clicked.connect(decrease_func)
+
+            hbox = QtWidgets.QHBoxLayout()
+            hbox.addWidget(button_reset)
+            hbox.addWidget(button_fit)
+            hbox.addWidget(button_increase)
+            hbox.addWidget(button_decrease)
+
+            vbox = QtWidgets.QVBoxLayout()
+            vbox.addLayout(hbox)
+            vbox.addWidget(table)
+
+            chain_widget = QtWidgets.QWidget()
+            chain_widget.setLayout(vbox)
+            tab.addTab(chain_widget, chain_symbol)
+
+            self.update_pricing_impv(chain_symbol)
+
+            self.default_foreground = mid_impv_cell.foreground()
+            self.default_background = mid_impv_cell.background()
+
+            table.resizeRowsToContents()
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_timer.connect(self.process_timer_event)
+
+        self.event_engine.register(EVENT_TIMER, self.signal_timer.emit)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        for chain_symbol in self.chain_symbols:
+            self.update_mid_impv(chain_symbol)
+
+    def reset_pricing_impv(self, chain_symbol: str) -> None:
+        """
+        Set pricing impv to the otm mid impv of each strike price.
+        """
+        chain = self.portfolio.get_chain(chain_symbol)
+        atm_index = chain.atm_index
+
+        for index in chain.indexes:
+            call = chain.calls[index]
+            put = chain.puts[index]
+
+            if index >= atm_index:
+                otm = call
+            else:
+                otm = put
+
+            call.pricing_impv = otm.mid_impv
+            put.pricing_impv = otm.mid_impv
+
+        self.update_pricing_impv(chain_symbol)
+
+    def fit_pricing_impv(self, chain_symbol: str) -> None:
+        """
+        Fit pricing impv with cubic spline algo.
+        """
+        chain = self.portfolio.get_chain(chain_symbol)
+        atm_index = chain.atm_index
+
+        strike_prices = []
+        pricing_impvs = []
+
+        for index in chain.indexes:
+            call = chain.calls[index]
+            put = chain.puts[index]
+            cells = self.cells[(chain_symbol, index)]
+
+            if not cells["check"].isChecked():
+                if index >= atm_index:
+                    otm = call
+                else:
+                    otm = put
+
+                strike_prices.append(otm.strike_price)
+                pricing_impvs.append(otm.pricing_impv)
+
+        cs = interpolate.CubicSpline(strike_prices, pricing_impvs)
+
+        for index in chain.indexes:
+            call = chain.calls[index]
+            put = chain.puts[index]
+
+            new_impv = float(cs(call.strike_price))
+            call.pricing_impv = new_impv
+            put.pricing_impv = new_impv
+
+        self.update_pricing_impv(chain_symbol)
+
+    def increase_pricing_impv(self, chain_symbol: str) -> None:
+        """
+        Increase pricing impv of all options within a chain by 0.1%.
+        """
+        chain = self.portfolio.get_chain(chain_symbol)
+
+        for option in chain.options.values():
+            option.pricing_impv += 0.001
+
+        self.update_pricing_impv(chain_symbol)
+
+    def decrease_pricing_impv(self, chain_symbol: str) -> None:
+        """
+        Decrease pricing impv of all options within a chain by 0.1%.
+        """
+        chain = self.portfolio.get_chain(chain_symbol)
+
+        for option in chain.options.values():
+            option.pricing_impv -= 0.001
+
+        self.update_pricing_impv(chain_symbol)
+
+    def set_pricing_impv(self, value: float, chain_symbol: str, index: str) -> None:
+        """"""
+        new_impv = value / 100
+
+        chain = self.portfolio.get_chain(chain_symbol)
+
+        call = chain.calls[index]
+        call.pricing_impv = new_impv
+
+        put = chain.puts[index]
+        put.pricing_impv = new_impv
+
+    def update_pricing_impv(self, chain_symbol: str) -> None:
+        """"""
+        chain = self.portfolio.get_chain(chain_symbol)
+        atm_index = chain.atm_index
+
+        for index in chain.indexes:
+            if index >= atm_index:
+                otm = chain.calls[index]
+            else:
+                otm = chain.puts[index]
+
+            value = round(otm.pricing_impv * 100, 1)
+            cells = self.cells[(chain_symbol, index)]
+            cells["pricing_impv"].setValue(value)
+
+    def update_mid_impv(self, chain_symbol: str) -> None:
+        """"""
+        chain = self.portfolio.get_chain(chain_symbol)
+        atm_index = chain.atm_index
+
+        for index in chain.indexes:
+            if index >= atm_index:
+                otm = chain.calls[index]
+            else:
+                otm = chain.puts[index]
+
+            cells = self.cells[(chain_symbol, index)]
+            cells["mid_impv"].setText(f"{otm.mid_impv:.1%}")
+
+        current_atm_index = self.chain_atm_index.get(chain_symbol, "")
+        if current_atm_index == atm_index:
+            return
+        self.chain_atm_index[chain_symbol] = atm_index
+
+        if current_atm_index:
+            old_cells = self.cells[(chain_symbol, current_atm_index)]
+            old_cells["mid_impv"].setForeground(self.default_foreground)
+            old_cells["mid_impv"].setBackground(self.default_background)
+
+        new_cells = self.cells[(chain_symbol, atm_index)]
+        new_cells["mid_impv"].setForeground(COLOR_BLACK)
+        new_cells["mid_impv"].setBackground(COLOR_WHITE)

vnpy/app/option_master/ui/monitor.py

@@ -0,0 +1,597 @@
+from typing import List, Dict, Set, Union
+from copy import copy
+from collections import defaultdict
+
+from vnpy.event import Event
+from vnpy.trader.ui import QtWidgets, QtCore, QtGui
+from vnpy.trader.ui.widget import COLOR_BID, COLOR_ASK, COLOR_BLACK
+from vnpy.trader.event import (
+    EVENT_TICK, EVENT_TRADE, EVENT_POSITION, EVENT_TIMER
+)
+from vnpy.trader.utility import round_to
+from ..engine import OptionEngine
+from ..base import UnderlyingData, OptionData, ChainData, PortfolioData
+
+
+COLOR_WHITE = QtGui.QColor("white")
+COLOR_POS = QtGui.QColor("yellow")
+COLOR_GREEKS = QtGui.QColor("cyan")
+
+
+class MonitorCell(QtWidgets.QTableWidgetItem):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text)
+
+        self.vt_symbol = vt_symbol
+
+        self.setTextAlignment(QtCore.Qt.AlignCenter)
+
+
+class IndexCell(MonitorCell):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text, vt_symbol)
+
+        self.setForeground(COLOR_BLACK)
+        self.setBackground(COLOR_WHITE)
+
+
+class BidCell(MonitorCell):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text, vt_symbol)
+
+        self.setForeground(COLOR_BID)
+
+
+class AskCell(MonitorCell):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text, vt_symbol)
+
+        self.setForeground(COLOR_ASK)
+
+
+class PosCell(MonitorCell):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text, vt_symbol)
+
+        self.setForeground(COLOR_POS)
+
+
+class GreeksCell(MonitorCell):
+    """"""
+
+    def __init__(self, text: str = "", vt_symbol: str = ""):
+        """"""
+        super().__init__(text, vt_symbol)
+
+        self.setForeground(COLOR_GREEKS)
+
+
+class MonitorTable(QtWidgets.QTableWidget):
+    """"""
+
+    def __init__(self):
+        """"""
+        super().__init__()
+
+        self.init_menu()
+
+    def init_menu(self) -> None:
+        """
+        Create right click menu.
+        """
+        self.menu = QtWidgets.QMenu(self)
+
+        resize_action = QtWidgets.QAction("调整列宽", self)
+        resize_action.triggered.connect(self.resizeColumnsToContents)
+        self.menu.addAction(resize_action)
+
+    def contextMenuEvent(self, event) -> None:
+        """
+        Show menu with right click.
+        """
+        self.menu.popup(QtGui.QCursor.pos())
+
+
+class OptionMarketMonitor(MonitorTable):
+    """"""
+    signal_tick = QtCore.pyqtSignal(Event)
+    signal_trade = QtCore.pyqtSignal(Event)
+    signal_position = QtCore.pyqtSignal(Event)
+
+    headers: List[Dict] = [
+        {"name": "symbol", "display": "代码", "cell": MonitorCell},
+        {"name": "theo_vega", "display": "Vega", "cell": GreeksCell},
+        {"name": "theo_theta", "display": "Theta", "cell": GreeksCell},
+        {"name": "theo_gamma", "display": "Gamma", "cell": GreeksCell},
+        {"name": "theo_delta", "display": "Delta", "cell": GreeksCell},
+        {"name": "open_interest", "display": "持仓量", "cell": MonitorCell},
+        {"name": "volume", "display": "成交量", "cell": MonitorCell},
+        {"name": "bid_impv", "display": "买隐波", "cell": BidCell},
+        {"name": "bid_volume", "display": "买量", "cell": BidCell},
+        {"name": "bid_price", "display": "买价", "cell": BidCell},
+        {"name": "ask_price", "display": "卖价", "cell": AskCell},
+        {"name": "ask_volume", "display": "卖量", "cell": AskCell},
+        {"name": "ask_impv", "display": "卖隐波", "cell": AskCell},
+        {"name": "net_pos", "display": "净持仓", "cell": PosCell},
+    ]
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.portfolio_name = portfolio_name
+
+        self.cells: Dict[str, Dict] = {}
+        self.option_symbols: Set[str] = set()
+        self.underlying_option_map: Dict[str, List] = defaultdict(list)
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("T型报价")
+        self.verticalHeader().setVisible(False)
+        self.setEditTriggers(self.NoEditTriggers)
+
+        # Store option and underlying symbols
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        for option in portfolio.options.values():
+            self.option_symbols.add(option.vt_symbol)
+            self.underlying_option_map[option.underlying.vt_symbol].append(option.vt_symbol)
+
+        # Set table row and column numbers
+        row_count = 0
+        for chain in portfolio.chains.values():
+            row_count += (1 + len(chain.indexes))
+        self.setRowCount(row_count)
+
+        column_count = len(self.headers) * 2 + 1
+        self.setColumnCount(column_count)
+
+        call_labels = [d["display"] for d in self.headers]
+        put_labels = copy(call_labels)
+        put_labels.reverse()
+        labels = call_labels + ["行权价"] + put_labels
+        self.setHorizontalHeaderLabels(labels)
+
+        # Init cells
+        strike_column = len(self.headers)
+        current_row = 0
+
+        chain_symbols = list(portfolio.chains.keys())
+        chain_symbols.sort()
+
+        for chain_symbol in chain_symbols:
+            chain = portfolio.get_chain(chain_symbol)
+
+            self.setItem(
+                current_row,
+                strike_column,
+                IndexCell(chain.chain_symbol.split(".")[0])
+            )
+
+            for index in chain.indexes:
+                call = chain.calls[index]
+                put = chain.puts[index]
+
+                current_row += 1
+
+                # Call cells
+                call_cells = {}
+
+                for column, d in enumerate(self.headers):
+                    value = getattr(call, d["name"], "")
+                    cell = d["cell"](
+                        text=str(value),
+                        vt_symbol=call.vt_symbol
+                    )
+                    self.setItem(current_row, column, cell)
+                    call_cells[d["name"]] = cell
+
+                self.cells[call.vt_symbol] = call_cells
+
+                # Put cells
+                put_cells = {}
+                put_headers = copy(self.headers)
+                put_headers.reverse()
+
+                for column, d in enumerate(put_headers):
+                    column += (strike_column + 1)
+                    value = getattr(put, d["name"], "")
+                    cell = d["cell"](
+                        text=str(value),
+                        vt_symbol=put.vt_symbol
+                    )
+                    self.setItem(current_row, column, cell)
+                    put_cells[d["name"]] = cell
+
+                self.cells[put.vt_symbol] = put_cells
+
+                # Strike cell
+                index_cell = IndexCell(str(call.chain_index))
+                self.setItem(current_row, strike_column, index_cell)
+
+            # Move to next row
+            current_row += 1
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_tick.connect(self.process_tick_event)
+        self.signal_trade.connect(self.process_trade_event)
+        self.signal_position.connect(self.process_position_event)
+
+        self.event_engine.register(EVENT_TICK, self.signal_tick.emit)
+        self.event_engine.register(EVENT_TRADE, self.signal_trade.emit)
+        self.event_engine.register(EVENT_POSITION, self.signal_position.emit)
+
+    def process_tick_event(self, event: Event) -> None:
+        """"""
+        tick = event.data
+
+        if tick.vt_symbol in self.option_symbols:
+            self.update_price(tick.vt_symbol)
+            self.update_impv(tick.vt_symbol)
+        elif tick.vt_symbol in self.underlying_option_map:
+            option_symbols = self.underlying_option_map[tick.vt_symbol]
+
+            for vt_symbol in option_symbols:
+                self.update_impv(vt_symbol)
+                self.update_greeks(vt_symbol)
+
+    def process_trade_event(self, event: Event) -> None:
+        """"""
+        trade = event.data
+        self.update_pos(trade.vt_symbol)
+
+    def process_position_event(self, event: Event) -> None:
+        """"""
+        position = event.data
+        self.update_pos(position.vt_symbol)
+
+    def update_pos(self, vt_symbol: str) -> None:
+        """"""
+        option_cells = self.cells.get(vt_symbol, None)
+        if not option_cells:
+            return
+
+        option = self.option_engine.get_instrument(vt_symbol)
+
+        option_cells["net_pos"].setText(str(option.net_pos))
+
+    def update_price(self, vt_symbol: str) -> None:
+        """"""
+        option_cells = self.cells.get(vt_symbol, None)
+        if not option_cells:
+            return
+
+        option = self.option_engine.get_instrument(vt_symbol)
+        tick = option.tick
+        option_cells["bid_price"].setText(f'{tick.bid_price_1:0.4f}')
+        option_cells["bid_volume"].setText(str(tick.bid_volume_1))
+        option_cells["ask_price"].setText(f'{tick.ask_price_1:0.4f}')
+        option_cells["ask_volume"].setText(str(tick.ask_volume_1))
+        option_cells["volume"].setText(str(tick.volume))
+        option_cells["open_interest"].setText(str(tick.open_interest))
+
+    def update_impv(self, vt_symbol: str) -> None:
+        """"""
+        option_cells = self.cells.get(vt_symbol, None)
+        if not option_cells:
+            return
+
+        option = self.option_engine.get_instrument(vt_symbol)
+        option_cells["bid_impv"].setText(f"{option.bid_impv * 100:.2f}")
+        option_cells["ask_impv"].setText(f"{option.ask_impv * 100:.2f}")
+
+    def update_greeks(self, vt_symbol: str) -> None:
+        """"""
+        option_cells = self.cells.get(vt_symbol, None)
+        if not option_cells:
+            return
+
+        option = self.option_engine.get_instrument(vt_symbol)
+
+        option_cells["theo_delta"].setText(f"{option.theo_delta:.0f}")
+        option_cells["theo_gamma"].setText(f"{option.theo_gamma:.0f}")
+        option_cells["theo_theta"].setText(f"{option.theo_theta:.0f}")
+        option_cells["theo_vega"].setText(f"{option.theo_vega:.0f}")
+
+
+class OptionGreeksMonitor(MonitorTable):
+    """"""
+    signal_tick = QtCore.pyqtSignal(Event)
+    signal_trade = QtCore.pyqtSignal(Event)
+    signal_position = QtCore.pyqtSignal(Event)
+
+    headers: List[Dict] = [
+        {"name": "long_pos", "display": "多仓", "cell": PosCell},
+        {"name": "short_pos", "display": "空仓", "cell": PosCell},
+        {"name": "net_pos", "display": "净仓", "cell": PosCell},
+        {"name": "pos_delta", "display": "Delta", "cell": GreeksCell},
+        {"name": "pos_gamma", "display": "Gamma", "cell": GreeksCell},
+        {"name": "pos_theta", "display": "Theta", "cell": GreeksCell},
+        {"name": "pos_vega", "display": "Vega", "cell": GreeksCell}
+    ]
+
+    ROW_DATA = Union[OptionData, UnderlyingData, ChainData, PortfolioData]
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.portfolio_name = portfolio_name
+
+        self.cells: Dict[str, Dict] = {}
+        self.option_symbols: Set[str] = set()
+        self.underlying_option_map: Dict[str, List] = defaultdict(list)
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("希腊值风险")
+        self.verticalHeader().setVisible(False)
+        self.setEditTriggers(self.NoEditTriggers)
+
+        # Store option and underlying symbols
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        for option in portfolio.options.values():
+            self.option_symbols.add(option.vt_symbol)
+            self.underlying_option_map[option.underlying.vt_symbol].append(option.vt_symbol)
+
+        # Set table row and column numbers
+        row_count = 1
+        for chain in portfolio.chains.values():
+            row_count += (1 + len(chain.indexes) * 2)
+        self.setRowCount(row_count)
+
+        column_count = len(self.headers) + 2
+        self.setColumnCount(column_count)
+
+        labels = ["类别", "代码"] + [d["display"] for d in self.headers]
+        self.setHorizontalHeaderLabels(labels)
+
+        # Init cells
+        row_names = [self.portfolio_name]
+        row_names.append("")
+
+        underlying_symbols = list(portfolio.underlyings.keys())
+        underlying_symbols.sort()
+        row_names.extend(underlying_symbols)
+        row_names.append("")
+
+        chain_symbols = list(portfolio.chains.keys())
+        chain_symbols.sort()
+        row_names.extend(chain_symbols)
+        row_names.append("")
+
+        option_symbols = list(portfolio.options.keys())
+        option_symbols.sort()
+        row_names.extend(option_symbols)
+
+        type_map = {}
+        type_map[self.portfolio_name] = "组合"
+
+        for symbol in underlying_symbols:
+            type_map[symbol] = "标的"
+
+        for symbol in chain_symbols:
+            type_map[symbol] = "期权链"
+
+        for symbol in option_symbols:
+            type_map[symbol] = "期权"
+
+        for row, row_name in enumerate(row_names):
+            if not row_name:
+                continue
+
+            row_cells = {}
+
+            type_cell = MonitorCell(type_map[row_name])
+            self.setItem(row, 0, type_cell)
+
+            name = row_name.split(".")[0]
+            name_cell = MonitorCell(name)
+            self.setItem(row, 1, name_cell)
+
+            for column, d in enumerate(self.headers):
+                cell = d["cell"]()
+                self.setItem(row, column + 2, cell)
+                row_cells[d["name"]] = cell
+            self.cells[row_name] = row_cells
+
+            if row_name != self.portfolio_name:
+                self.hideRow(row)
+
+        self.resizeColumnToContents(0)
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_tick.connect(self.process_tick_event)
+        self.signal_trade.connect(self.process_trade_event)
+        self.signal_position.connect(self.process_position_event)
+
+        self.event_engine.register(EVENT_TICK, self.signal_tick.emit)
+        self.event_engine.register(EVENT_TRADE, self.signal_trade.emit)
+        self.event_engine.register(EVENT_POSITION, self.signal_position.emit)
+
+    def process_tick_event(self, event: Event) -> None:
+        """"""
+        tick = event.data
+
+        if tick.vt_symbol not in self.underlying_option_map:
+            return
+
+        self.update_underlying_tick(tick.vt_symbol)
+
+    def process_trade_event(self, event: Event) -> None:
+        """"""
+        trade = event.data
+        if trade.vt_symbol not in self.cells:
+            return
+
+        self.update_pos(trade.vt_symbol)
+
+    def process_position_event(self, event: Event) -> None:
+        """"""
+        position = event.data
+        if position.vt_symbol not in self.cells:
+            return
+
+        self.update_pos(position.vt_symbol)
+
+    def update_underlying_tick(self, vt_symbol: str) -> None:
+        """"""
+        underlying = self.option_engine.get_instrument(vt_symbol)
+        self.update_row(vt_symbol, underlying)
+
+        for chain in underlying.chains.values():
+            self.update_row(chain.chain_symbol, chain)
+
+            for option in chain.options.values():
+                self.update_row(option.vt_symbol, option)
+
+        portfolio = underlying.portfolio
+        self.update_row(portfolio.name, portfolio)
+
+    def update_pos(self, vt_symbol: str) -> None:
+        """"""
+        instrument = self.option_engine.get_instrument(vt_symbol)
+        self.update_row(vt_symbol, instrument)
+
+        # For option, greeks of chain also needs to be updated.
+        if isinstance(instrument, OptionData):
+            chain = instrument.chain
+            self.update_row(chain.chain_symbol, chain)
+
+        portfolio = instrument.portfolio
+        self.update_row(portfolio.name, portfolio)
+
+    def update_row(self, row_name: str, row_data: ROW_DATA) -> None:
+        """"""
+        row_cells = self.cells[row_name]
+        row = self.row(row_cells["long_pos"])
+
+        # Hide rows with no existing position
+        if not row_data.long_pos and not row_data.short_pos:
+            if row_name != self.portfolio_name:
+                self.hideRow(row)
+            return
+
+        self.showRow(row)
+
+        row_cells["long_pos"].setText(f"{row_data.long_pos}")
+        row_cells["short_pos"].setText(f"{row_data.short_pos}")
+        row_cells["net_pos"].setText(f"{row_data.net_pos}")
+        row_cells["pos_delta"].setText(f"{row_data.pos_delta:.0f}")
+
+        if not isinstance(row_data, UnderlyingData):
+            row_cells["pos_gamma"].setText(f"{row_data.pos_gamma:.0f}")
+            row_cells["pos_theta"].setText(f"{row_data.pos_theta:.0f}")
+            row_cells["pos_vega"].setText(f"{row_data.pos_vega:.0f}")
+
+
+class OptionChainMonitor(MonitorTable):
+    """"""
+    signal_timer = QtCore.pyqtSignal(Event)
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.event_engine = option_engine.event_engine
+        self.portfolio_name = portfolio_name
+
+        self.cells: Dict[str, Dict] = {}
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("期权链跟踪")
+        self.verticalHeader().setVisible(False)
+        self.setEditTriggers(self.NoEditTriggers)
+
+        # Store option and underlying symbols
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        # Set table row and column numbers
+        self.setRowCount(len(portfolio.chains))
+
+        labels = ["期权链", "剩余交易日", "标的物", "升贴水"]
+        self.setColumnCount(len(labels))
+        self.setHorizontalHeaderLabels(labels)
+
+        # Init cells
+        chain_symbols = list(portfolio.chains.keys())
+        chain_symbols.sort()
+
+        for row, chain_symbol in enumerate(chain_symbols):
+            chain = portfolio.chains[chain_symbol]
+            adjustment_cell = MonitorCell()
+            underlying_cell = MonitorCell()
+
+            self.setItem(row, 0, MonitorCell(chain.chain_symbol.split(".")[0]))
+            self.setItem(row, 1, MonitorCell(str(chain.days_to_expiry)))
+            self.setItem(row, 2, underlying_cell)
+            self.setItem(row, 3, adjustment_cell)
+
+            self.cells[chain.chain_symbol] = {
+                "underlying": underlying_cell,
+                "adjustment": adjustment_cell
+            }
+
+        # Additional table adjustment
+        horizontal_header = self.horizontalHeader()
+        horizontal_header.setSectionResizeMode(horizontal_header.Stretch)
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_timer.connect(self.process_timer_event)
+
+        self.event_engine.register(EVENT_TIMER, self.signal_timer.emit)
+
+    def process_timer_event(self, event: Event) -> None:
+        """"""
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        for chain in portfolio.chains.values():
+            underlying: UnderlyingData = chain.underlying
+
+            underlying_symbol: str = underlying.vt_symbol.split(".")[0]
+
+            if chain.underlying_adjustment == float("inf"):
+                continue
+
+            adjustment = round_to(
+                chain.underlying_adjustment, underlying.pricetick
+            )
+
+            chain_cells = self.cells[chain.chain_symbol]
+            chain_cells["underlying"].setText(underlying_symbol)
+            chain_cells["adjustment"].setText(str(adjustment))

vnpy/app/option_master/ui/widget.py

@@ -0,0 +1,705 @@
+from typing import Dict
+
+from vnpy.event import EventEngine, Event
+from vnpy.trader.engine import MainEngine
+from vnpy.trader.ui import QtWidgets, QtCore, QtGui
+from vnpy.trader.constant import Direction, Offset, OrderType
+from vnpy.trader.object import OrderRequest, ContractData, TickData
+from vnpy.trader.event import EVENT_TICK
+
+from ..base import APP_NAME, EVENT_OPTION_NEW_PORTFOLIO
+from ..engine import OptionEngine, PRICING_MODELS
+from .monitor import (
+    OptionMarketMonitor, OptionGreeksMonitor, OptionChainMonitor,
+    MonitorCell
+)
+from .chart import OptionVolatilityChart, ScenarioAnalysisChart
+from .manager import ElectronicEyeManager, PricingVolatilityManager
+
+
+class OptionManager(QtWidgets.QWidget):
+    """"""
+    signal_new_portfolio = QtCore.pyqtSignal(Event)
+
+    def __init__(self, main_engine: MainEngine, event_engine: EventEngine):
+        """"""
+        super().__init__()
+
+        self.main_engine = main_engine
+        self.event_engine = event_engine
+        self.option_engine = main_engine.get_engine(APP_NAME)
+
+        self.portfolio_name: str = ""
+
+        self.market_monitor: OptionMarketMonitor = None
+        self.greeks_monitor: OptionGreeksMonitor = None
+        self.volatility_chart: OptionVolatilityChart = None
+        self.chain_monitor: OptionChainMonitor = None
+        self.manual_trader: OptionManualTrader = None
+        self.hedge_widget: OptionHedgeWidget = None
+        self.scenario_chart: ScenarioAnalysisChart = None
+        self.eye_manager: ElectronicEyeManager = None
+        self.pricing_manager: PricingVolatilityManager = None
+
+        self.init_ui()
+        self.register_event()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("OptionMaster")
+
+        self.portfolio_combo = QtWidgets.QComboBox()
+        self.portfolio_combo.setFixedWidth(150)
+        self.update_portfolio_combo()
+
+        self.portfolio_button = QtWidgets.QPushButton("配置")
+        self.portfolio_button.clicked.connect(self.open_portfolio_dialog)
+
+        self.market_button = QtWidgets.QPushButton("T型报价")
+        self.greeks_button = QtWidgets.QPushButton("持仓希腊值")
+        self.chain_button = QtWidgets.QPushButton("升贴水监控")
+        self.manual_button = QtWidgets.QPushButton("快速交易")
+        self.volatility_button = QtWidgets.QPushButton("波动率曲线")
+        self.hedge_button = QtWidgets.QPushButton("Delta对冲")
+        self.scenario_button = QtWidgets.QPushButton("情景分析")
+        self.eye_button = QtWidgets.QPushButton("电子眼")
+        self.pricing_button = QtWidgets.QPushButton("波动率管理")
+
+        for button in [
+            self.market_button,
+            self.greeks_button,
+            self.chain_button,
+            self.manual_button,
+            self.volatility_button,
+            self.hedge_button,
+            self.scenario_button,
+            self.eye_button,
+            self.pricing_button
+        ]:
+            button.setEnabled(False)
+
+        hbox = QtWidgets.QHBoxLayout()
+        hbox.addWidget(QtWidgets.QLabel("期权产品"))
+        hbox.addWidget(self.portfolio_combo)
+        hbox.addWidget(self.portfolio_button)
+        hbox.addWidget(self.market_button)
+        hbox.addWidget(self.greeks_button)
+        hbox.addWidget(self.manual_button)
+        hbox.addWidget(self.chain_button)
+        hbox.addWidget(self.volatility_button)
+        hbox.addWidget(self.hedge_button)
+        hbox.addWidget(self.scenario_button)
+        hbox.addWidget(self.pricing_button)
+        hbox.addWidget(self.eye_button)
+
+        self.setLayout(hbox)
+
+    def register_event(self) -> None:
+        """"""
+        self.signal_new_portfolio.connect(self.process_new_portfolio_event)
+
+        self.event_engine.register(EVENT_OPTION_NEW_PORTFOLIO, self.signal_new_portfolio.emit)
+
+    def process_new_portfolio_event(self, event: Event) -> None:
+        """"""
+        self.update_portfolio_combo()
+
+    def update_portfolio_combo(self) -> None:
+        """"""
+        if not self.portfolio_combo.isEnabled():
+            return
+
+        self.portfolio_combo.clear()
+        portfolio_names = self.option_engine.get_portfolio_names()
+        self.portfolio_combo.addItems(portfolio_names)
+
+    def open_portfolio_dialog(self) -> None:
+        """"""
+        portfolio_name = self.portfolio_combo.currentText()
+        if not portfolio_name:
+            return
+
+        self.portfolio_name = portfolio_name
+
+        dialog = PortfolioDialog(self.option_engine, portfolio_name)
+        result = dialog.exec_()
+
+        if result == dialog.Accepted:
+            self.portfolio_combo.setEnabled(False)
+            self.portfolio_button.setEnabled(False)
+
+            self.init_widgets()
+
+    def init_widgets(self) -> None:
+        """"""
+        self.market_monitor = OptionMarketMonitor(self.option_engine, self.portfolio_name)
+        self.greeks_monitor = OptionGreeksMonitor(self.option_engine, self.portfolio_name)
+        self.volatility_chart = OptionVolatilityChart(self.option_engine, self.portfolio_name)
+        self.chain_monitor = OptionChainMonitor(self.option_engine, self.portfolio_name)
+        self.manual_trader = OptionManualTrader(self.option_engine, self.portfolio_name)
+        self.hedge_widget = OptionHedgeWidget(self.option_engine, self.portfolio_name)
+        self.scenario_chart = ScenarioAnalysisChart(self.option_engine, self.portfolio_name)
+        self.eye_manager = ElectronicEyeManager(self.option_engine, self.portfolio_name)
+        self.pricing_manager = PricingVolatilityManager(self.option_engine, self.portfolio_name)
+
+        self.market_monitor.itemDoubleClicked.connect(self.manual_trader.update_symbol)
+
+        self.market_button.clicked.connect(self.market_monitor.show)
+        self.greeks_button.clicked.connect(self.greeks_monitor.show)
+        self.manual_button.clicked.connect(self.manual_trader.show)
+        self.chain_button.clicked.connect(self.chain_monitor.show)
+        self.volatility_button.clicked.connect(self.volatility_chart.show)
+        self.scenario_button.clicked.connect(self.scenario_chart.show)
+        self.hedge_button.clicked.connect(self.hedge_widget.show)
+        self.eye_button.clicked.connect(self.eye_manager.show)
+        self.pricing_button.clicked.connect(self.pricing_manager.show)
+
+        for button in [
+            self.market_button,
+            self.greeks_button,
+            self.chain_button,
+            self.manual_button,
+            self.volatility_button,
+            self.scenario_button,
+            self.hedge_button,
+            self.eye_button,
+            self.pricing_button
+        ]:
+            button.setEnabled(True)
+
+    def closeEvent(self, event: QtGui.QCloseEvent) -> None:
+        """"""
+        if self.portfolio_name:
+            self.market_monitor.close()
+            self.greeks_monitor.close()
+            self.volatility_chart.close()
+            self.chain_monitor.close()
+            self.manual_trader.close()
+            self.hedge_widget.close()
+            self.scenario_chart.close()
+            self.eye_manager.close()
+            self.pricing_manager.close()
+
+        event.accept()
+
+
+class PortfolioDialog(QtWidgets.QDialog):
+    """"""
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.portfolio_name = portfolio_name
+
+        self.init_ui()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle(f"{self.portfolio_name}组合配置")
+
+        portfolio_setting = self.option_engine.get_portfolio_setting(
+            self.portfolio_name
+        )
+
+        form = QtWidgets.QFormLayout()
+
+        # Model Combo
+        self.model_name_combo = QtWidgets.QComboBox()
+        self.model_name_combo.addItems(list(PRICING_MODELS.keys()))
+
+        model_name = portfolio_setting.get("model_name", "")
+        if model_name:
+            self.model_name_combo.setCurrentIndex(
+                self.model_name_combo.findText(model_name)
+            )
+
+        form.addRow("模型", self.model_name_combo)
+
+        # Interest rate spin
+        self.interest_rate_spin = QtWidgets.QDoubleSpinBox()
+        self.interest_rate_spin.setMinimum(0)
+        self.interest_rate_spin.setMaximum(20)
+        self.interest_rate_spin.setDecimals(1)
+        self.interest_rate_spin.setSuffix("%")
+
+        interest_rate = portfolio_setting.get("interest_rate", 0.02)
+        self.interest_rate_spin.setValue(interest_rate * 100)
+
+        form.addRow("利率", self.interest_rate_spin)
+
+        # Underlying for each chain
+        self.combos: Dict[str, QtWidgets.QComboBox] = {}
+
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+        underlying_symbols = self.option_engine.get_underlying_symbols(
+            self.portfolio_name
+        )
+
+        chain_symbols = list(portfolio._chains.keys())
+        chain_symbols.sort()
+
+        chain_underlying_map = portfolio_setting.get("chain_underlying_map", {})
+
+        for chain_symbol in chain_symbols:
+            combo = QtWidgets.QComboBox()
+            combo.addItem("")
+            combo.addItems(underlying_symbols)
+
+            underlying_symbol = chain_underlying_map.get(chain_symbol, "")
+            if underlying_symbol:
+                combo.setCurrentIndex(combo.findText(underlying_symbol))
+
+            form.addRow(chain_symbol, combo)
+            self.combos[chain_symbol] = combo
+
+        # Set layout
+        button = QtWidgets.QPushButton("确定")
+        button.clicked.connect(self.update_portfolio_setting)
+        form.addRow(button)
+
+        self.setLayout(form)
+
+    def update_portfolio_setting(self) -> None:
+        """"""
+        model_name = self.model_name_combo.currentText()
+        interest_rate = self.interest_rate_spin.value() / 100
+
+        chain_underlying_map = {}
+        for chain_symbol, combo in self.combos.items():
+            underlying_symbol = combo.currentText()
+
+            if underlying_symbol:
+                chain_underlying_map[chain_symbol] = underlying_symbol
+
+        self.option_engine.update_portfolio_setting(
+            self.portfolio_name,
+            model_name,
+            interest_rate,
+            chain_underlying_map
+        )
+
+        result = self.option_engine.init_portfolio(self.portfolio_name)
+
+        if result:
+            self.accept()
+        else:
+            self.close()
+
+
+class OptionManualTrader(QtWidgets.QWidget):
+    """"""
+    signal_tick = QtCore.pyqtSignal(TickData)
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.main_engine: MainEngine = option_engine.main_engine
+        self.event_engine: EventEngine = option_engine.event_engine
+
+        self.contracts: Dict[str, ContractData] = {}
+        self.vt_symbol = ""
+
+        self.init_ui()
+        self.init_contracts()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("期权交易")
+
+        # Trading Area
+        self.symbol_line = QtWidgets.QLineEdit()
+        self.symbol_line.returnPressed.connect(self._update_symbol)
+
+        float_validator = QtGui.QDoubleValidator()
+        float_validator.setBottom(0)
+
+        self.price_line = QtWidgets.QLineEdit()
+        self.price_line.setValidator(float_validator)
+
+        int_validator = QtGui.QIntValidator()
+        int_validator.setBottom(0)
+
+        self.volume_line = QtWidgets.QLineEdit()
+        self.volume_line.setValidator(int_validator)
+
+        self.direction_combo = QtWidgets.QComboBox()
+        self.direction_combo.addItems([
+            Direction.LONG.value,
+            Direction.SHORT.value
+        ])
+
+        self.offset_combo = QtWidgets.QComboBox()
+        self.offset_combo.addItems([
+            Offset.OPEN.value,
+            Offset.CLOSE.value
+        ])
+
+        order_button = QtWidgets.QPushButton("委托")
+        order_button.clicked.connect(self.send_order)
+
+        cancel_button = QtWidgets.QPushButton("全撤")
+        cancel_button.clicked.connect(self.cancel_all)
+
+        form1 = QtWidgets.QFormLayout()
+        form1.addRow("代码", self.symbol_line)
+        form1.addRow("方向", self.direction_combo)
+        form1.addRow("开平", self.offset_combo)
+        form1.addRow("价格", self.price_line)
+        form1.addRow("数量", self.volume_line)
+        form1.addRow(order_button)
+        form1.addRow(cancel_button)
+
+        # Depth Area
+        bid_color = "rgb(255,174,201)"
+        ask_color = "rgb(160,255,160)"
+
+        self.bp1_label = self.create_label(bid_color)
+        self.bp2_label = self.create_label(bid_color)
+        self.bp3_label = self.create_label(bid_color)
+        self.bp4_label = self.create_label(bid_color)
+        self.bp5_label = self.create_label(bid_color)
+
+        self.bv1_label = self.create_label(
+            bid_color, alignment=QtCore.Qt.AlignRight)
+        self.bv2_label = self.create_label(
+            bid_color, alignment=QtCore.Qt.AlignRight)
+        self.bv3_label = self.create_label(
+            bid_color, alignment=QtCore.Qt.AlignRight)
+        self.bv4_label = self.create_label(
+            bid_color, alignment=QtCore.Qt.AlignRight)
+        self.bv5_label = self.create_label(
+            bid_color, alignment=QtCore.Qt.AlignRight)
+
+        self.ap1_label = self.create_label(ask_color)
+        self.ap2_label = self.create_label(ask_color)
+        self.ap3_label = self.create_label(ask_color)
+        self.ap4_label = self.create_label(ask_color)
+        self.ap5_label = self.create_label(ask_color)
+
+        self.av1_label = self.create_label(
+            ask_color, alignment=QtCore.Qt.AlignRight)
+        self.av2_label = self.create_label(
+            ask_color, alignment=QtCore.Qt.AlignRight)
+        self.av3_label = self.create_label(
+            ask_color, alignment=QtCore.Qt.AlignRight)
+        self.av4_label = self.create_label(
+            ask_color, alignment=QtCore.Qt.AlignRight)
+        self.av5_label = self.create_label(
+            ask_color, alignment=QtCore.Qt.AlignRight)
+
+        self.lp_label = self.create_label()
+        self.return_label = self.create_label(alignment=QtCore.Qt.AlignRight)
+
+        min_width = 70
+        self.lp_label.setMinimumWidth(min_width)
+        self.return_label.setMinimumWidth(min_width)
+
+        form2 = QtWidgets.QFormLayout()
+        form2.addRow(self.ap5_label, self.av5_label)
+        form2.addRow(self.ap4_label, self.av4_label)
+        form2.addRow(self.ap3_label, self.av3_label)
+        form2.addRow(self.ap2_label, self.av2_label)
+        form2.addRow(self.ap1_label, self.av1_label)
+        form2.addRow(self.lp_label, self.return_label)
+        form2.addRow(self.bp1_label, self.bv1_label)
+        form2.addRow(self.bp2_label, self.bv2_label)
+        form2.addRow(self.bp3_label, self.bv3_label)
+        form2.addRow(self.bp4_label, self.bv4_label)
+        form2.addRow(self.bp5_label, self.bv5_label)
+
+        # Set layout
+        hbox = QtWidgets.QHBoxLayout()
+        hbox.addLayout(form1)
+        hbox.addLayout(form2)
+        self.setLayout(hbox)
+
+    def init_contracts(self) -> None:
+        """"""
+        contracts = self.main_engine.get_all_contracts()
+        for contract in contracts:
+            self.contracts[contract.symbol] = contract
+
+    def connect_signal(self) -> None:
+        """"""
+        self.signal_tick.connect(self.update_tick)
+
+    def send_order(self) -> None:
+        """"""
+        symbol = self.symbol_line.text()
+        contract = self.contracts.get(symbol, None)
+        if not contract:
+            return
+
+        price_text = self.price_line.text()
+        volume_text = self.volume_line.text()
+
+        if not price_text or not volume_text:
+            return
+
+        price = float(price_text)
+        volume = int(volume_text)
+        direction = Direction(self.direction_combo.currentText())
+        offset = Offset(self.offset_combo.currentText())
+
+        req = OrderRequest(
+            symbol=contract.symbol,
+            exchange=contract.exchange,
+            direction=direction,
+            type=OrderType.LIMIT,
+            offset=offset,
+            volume=volume,
+            price=price
+        )
+        self.main_engine.send_order(req, contract.gateway_name)
+
+    def cancel_all(self) -> None:
+        """"""
+        for order in self.main_engine.get_all_active_orders():
+            req = order.create_cancel_request()
+            self.main_engine.cancel_order(req, order.gateway_name)
+
+    def update_symbol(self, cell: MonitorCell) -> None:
+        """"""
+        if not cell.vt_symbol:
+            return
+
+        symbol = cell.vt_symbol.split(".")[0]
+        self.symbol_line.setText(symbol)
+        self._update_symbol()
+
+    def _update_symbol(self) -> None:
+        """"""
+        symbol = self.symbol_line.text()
+        contract = self.contracts.get(symbol, None)
+
+        if contract and contract.vt_symbol == self.vt_symbol:
+            return
+
+        if self.vt_symbol:
+            self.event_engine.unregister(EVENT_TICK + self.vt_symbol, self.process_tick_event)
+            self.clear_data()
+            self.vt_symbol = ""
+
+        if not contract:
+            return
+
+        vt_symbol = contract.vt_symbol
+        self.vt_symbol = vt_symbol
+
+        tick = self.main_engine.get_tick(vt_symbol)
+        if tick:
+            self.update_tick(tick)
+
+        self.event_engine.unregister(EVENT_TICK + vt_symbol, self.process_tick_event)
+
+    def create_label(
+        self,
+        color: str = "",
+        alignment: int = QtCore.Qt.AlignLeft
+    ) -> QtWidgets.QLabel:
+        """
+        Create label with certain font color.
+        """
+        label = QtWidgets.QLabel("-")
+        if color:
+            label.setStyleSheet(f"color:{color}")
+        label.setAlignment(alignment)
+        return label
+
+    def process_tick_event(self, event: Event) -> None:
+        """"""
+        tick = event.data
+
+        if tick.vt_symbol != self.vt_symbol:
+            return
+
+        self.signal_tick.emit(tick)
+
+    def update_tick(self, tick: TickData) -> None:
+        """"""
+        self.lp_label.setText(str(tick.last_price))
+        self.bp1_label.setText(str(tick.bid_price_1))
+        self.bv1_label.setText(str(tick.bid_volume_1))
+        self.ap1_label.setText(str(tick.ask_price_1))
+        self.av1_label.setText(str(tick.ask_volume_1))
+
+        if tick.pre_close:
+            r = (tick.last_price / tick.pre_close - 1) * 100
+            self.return_label.setText(f"{r:.2f}%")
+
+        if tick.bid_price_2:
+            self.bp2_label.setText(str(tick.bid_price_2))
+            self.bv2_label.setText(str(tick.bid_volume_2))
+            self.ap2_label.setText(str(tick.ask_price_2))
+            self.av2_label.setText(str(tick.ask_volume_2))
+
+            self.bp3_label.setText(str(tick.bid_price_3))
+            self.bv3_label.setText(str(tick.bid_volume_3))
+            self.ap3_label.setText(str(tick.ask_price_3))
+            self.av3_label.setText(str(tick.ask_volume_3))
+
+            self.bp4_label.setText(str(tick.bid_price_4))
+            self.bv4_label.setText(str(tick.bid_volume_4))
+            self.ap4_label.setText(str(tick.ask_price_4))
+            self.av4_label.setText(str(tick.ask_volume_4))
+
+            self.bp5_label.setText(str(tick.bid_price_5))
+            self.bv5_label.setText(str(tick.bid_volume_5))
+            self.ap5_label.setText(str(tick.ask_price_5))
+            self.av5_label.setText(str(tick.ask_volume_5))
+
+    def clear_data(self) -> None:
+        """"""
+        self.lp_label.setText("-")
+        self.return_label.setText("-")
+        self.bp1_label.setText("-")
+        self.bv1_label.setText("-")
+        self.ap1_label.setText("-")
+        self.av1_label.setText("-")
+
+        self.bp2_label.setText("-")
+        self.bv2_label.setText("-")
+        self.ap2_label.setText("-")
+        self.av2_label.setText("-")
+
+        self.bp3_label.setText("-")
+        self.bv3_label.setText("-")
+        self.ap3_label.setText("-")
+        self.av3_label.setText("-")
+
+        self.bp4_label.setText("-")
+        self.bv4_label.setText("-")
+        self.ap4_label.setText("-")
+        self.av4_label.setText("-")
+
+        self.bp5_label.setText("-")
+        self.bv5_label.setText("-")
+        self.ap5_label.setText("-")
+        self.av5_label.setText("-")
+
+
+class OptionHedgeWidget(QtWidgets.QWidget):
+    """"""
+
+    def __init__(self, option_engine: OptionEngine, portfolio_name: str):
+        """"""
+        super().__init__()
+
+        self.option_engine = option_engine
+        self.portfolio_name = portfolio_name
+        self.hedge_engine = option_engine.hedge_engine
+
+        self.symbol_map: Dict[str, str] = {}
+
+        self.init_ui()
+
+    def init_ui(self) -> None:
+        """"""
+        self.setWindowTitle("Delta对冲")
+
+        underlying_symbols = []
+        portfolio = self.option_engine.get_portfolio(self.portfolio_name)
+
+        for chain in portfolio.chains.values():
+            underlying_symbol = chain.underlying.symbol
+            self.symbol_map[underlying_symbol] = chain.underlying.vt_symbol
+
+            if underlying_symbol not in underlying_symbols:
+                underlying_symbols.append(underlying_symbol)
+
+        underlying_symbols.sort()
+
+        self.symbol_combo = QtWidgets.QComboBox()
+        self.symbol_combo.addItems(underlying_symbols)
+
+        self.trigger_spin = QtWidgets.QSpinBox()
+        self.trigger_spin.setSuffix("秒")
+        self.trigger_spin.setMinimum(1)
+        self.trigger_spin.setValue(5)
+
+        self.target_spin = QtWidgets.QSpinBox()
+        self.target_spin.setMaximum(99999999)
+        self.target_spin.setMinimum(-99999999)
+        self.target_spin.setValue(0)
+
+        self.range_spin = QtWidgets.QSpinBox()
+        self.range_spin.setMinimum(0)
+        self.range_spin.setMaximum(9999999)
+        self.range_spin.setValue(12000)
+
+        self.payup_spin = QtWidgets.QSpinBox()
+        self.payup_spin.setMinimum(0)
+        self.payup_spin.setValue(3)
+
+        self.start_button = QtWidgets.QPushButton("启动")
+        self.start_button.clicked.connect(self.start)
+
+        self.stop_button = QtWidgets.QPushButton("停止")
+        self.stop_button.clicked.connect(self.stop)
+        self.stop_button.setEnabled(False)
+
+        form = QtWidgets.QFormLayout()
+        form.addRow("对冲合约", self.symbol_combo)
+        form.addRow("执行频率", self.trigger_spin)
+        form.addRow("Delta目标", self.target_spin)
+        form.addRow("对冲阈值", self.range_spin)
+        form.addRow("委托超价", self.payup_spin)
+        form.addRow(self.start_button)
+        form.addRow(self.stop_button)
+
+        self.setLayout(form)
+
+    def start(self) -> None:
+        """"""
+        symbol = self.symbol_combo.currentText()
+        vt_symbol = self.symbol_map[symbol]
+        timer_trigger = self.trigger_spin.value()
+        delta_target = self.target_spin.value()
+        delta_range = self.range_spin.value()
+        hedge_payup = self.payup_spin.value()
+
+        # Check delta of underlying
+        underlying = self.option_engine.get_instrument(vt_symbol)
+        min_range = int(underlying.theo_delta * 0.6)
+        if delta_range < min_range:
+            msg = f"Delta对冲阈值({delta_range})低于对冲合约"\
+                f"Delta值的60%({min_range})，可能导致来回频繁对冲！"
+
+            QtWidgets.QMessageBox.warning(
+                self,
+                "无法启动自动对冲",
+                msg,
+                QtWidgets.QMessageBox.Ok
+            )
+            return
+
+        self.hedge_engine.start(
+            self.portfolio_name,
+            vt_symbol,
+            timer_trigger,
+            delta_target,
+            delta_range,
+            hedge_payup
+        )
+
+        self.update_widget_status(False)
+
+    def stop(self) -> None:
+        """"""
+        self.hedge_engine.stop()
+
+        self.update_widget_status(True)
+
+    def update_widget_status(self, status: bool) -> None:
+        """"""
+        self.start_button.setEnabled(status)
+        self.symbol_combo.setEnabled(status)
+        self.target_spin.setEnabled(status)
+        self.range_spin.setEnabled(status)
+        self.payup_spin.setEnabled(status)
+        self.trigger_spin.setEnabled(status)
+        self.stop_button.setEnabled(not status)

vnpy/component/cta_line_bar.py

@@ -2014,15 +2014,15 @@ class CtaLineBar(object):
 
                 upper = round(upper_list[-1], self.round_n)
                 self.line_boll_upper.append(upper)  # 上轨
-                self.cur_upper = upper - upper % self.price_tick  # 上轨取整
+                self.cur_upper = upper  # 上轨
 
                 middle = round(middle_list[-1], self.round_n)
                 self.line_boll_middle.append(middle)  # 中轨
-                self.cur_middle = middle - middle % self.price_tick  # 中轨取整
+                self.cur_middle = middle   # 中轨
 
                 lower = round(lower_list[-1], self.round_n)
                 self.line_boll_lower.append(lower)  # 下轨
-                self.cur_lower = lower - lower % self.price_tick  # 下轨取整
+                self.cur_lower = lower  # 下轨
 
                 # 计算斜率
                 if len(self.line_boll_upper) > 2 and self.line_boll_upper[-2] != 0:
@@ -2072,15 +2072,15 @@ class CtaLineBar(object):
 
                 upper = round(upper_list[-1], self.round_n)
                 self.line_boll2_upper.append(upper)  # 上轨
-                self.cur_upper2 = upper - upper % self.price_tick  # 上轨取整
+                self.cur_upper2 = upper   # 上轨
 
                 middle = round(middle_list[-1], self.round_n)
                 self.line_boll2_middle.append(middle)  # 中轨
-                self.cur_middle2 = middle - middle % self.price_tick  # 中轨取整
+                self.cur_middle2 = middle  # 中轨
 
                 lower = round(lower_list[-1], self.round_n)
                 self.line_boll2_lower.append(lower)  # 下轨
-                self.cur_lower2 = lower - lower % self.price_tick  # 下轨取整
+                self.cur_lower2 = lower  # 下轨
 
                 # 计算斜率
                 if len(self.line_boll2_upper) > 2 and self.line_boll2_upper[-2] != 0: