[Add] backtesting function for spread trading

examples/spread_backtesting/backtesting.ipynb

@@ -0,0 +1,120 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%%\n",
+    "from vnpy.app.spread_trading.backtesting import BacktestingEngine\n",
+    "from vnpy.app.spread_trading.strategies.statistical_arbitrage_strategy import (\n",
+    "    StatisticalArbitrageStrategy\n",
+    ")\n",
+    "from vnpy.app.spread_trading.base import LegData, SpreadData\n",
+    "from datetime import datetime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "spread = SpreadData(\n",
+    "    name=\"IF-Spread\",\n",
+    "    legs=[LegData(\"IF1911.CFFEX\"), LegData(\"IF1912.CFFEX\")],\n",
+    "    price_multipliers={\"IF1911.CFFEX\": 1, \"IF1912.CFFEX\": -1},\n",
+    "    trading_multipliers={\"IF1911.CFFEX\": 1, \"IF1912.CFFEX\": -1},\n",
+    "    active_symbol=\"IF1911.CFFEX\",\n",
+    "    inverse_contracts={\"IF1911.CFFEX\": False, \"IF1912.CFFEX\": False},\n",
+    "    min_volume=1\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%%\n",
+    "engine = BacktestingEngine()\n",
+    "engine.set_parameters(\n",
+    "    spread=spread,\n",
+    "    interval=\"1m\",\n",
+    "    start=datetime(2019, 6, 10),\n",
+    "    end=datetime(2019, 11, 10),\n",
+    "    rate=0,\n",
+    "    slippage=0,\n",
+    "    size=300,\n",
+    "    pricetick=0.2,\n",
+    "    capital=1_000_000,\n",
+    ")\n",
+    "engine.add_strategy(StatisticalArbitrageStrategy, {})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2019-11-10 16:09:03.822440\t开始加载历史数据\n"
+     ]
+    }
+   ],
+   "source": [
+    "#%%\n",
+    "engine.load_data()\n",
+    "engine.run_backtesting()\n",
+    "df = engine.calculate_result()\n",
+    "engine.calculate_statistics()\n",
+    "engine.show_chart()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for trade in engine.trades.values():\n",
+    "    print(trade)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

vnpy/app/spread_trading/__init__.py

@@ -3,7 +3,9 @@ from pathlib import Path
 from vnpy.trader.app import BaseApp
 from vnpy.trader.object import (
     OrderData,
-    TradeData
+    TradeData,
+    TickData,
+    BarData
 )
 
 from .engine import (

vnpy/app/spread_trading/backtesting.py

@@ -1,6 +1,6 @@
 from collections import defaultdict
 from datetime import date, datetime, timedelta
-from typing import Callable
+from typing import Callable, Type, Dict, List
 from functools import lru_cache
 
 import numpy as np
@@ -14,7 +14,7 @@ from vnpy.trader.database import database_manager
 from vnpy.trader.object import TradeData, BarData, TickData
 from vnpy.trader.utility import round_to
 
-from .template import SpreadStrategyTemplate
+from .template import SpreadStrategyTemplate, SpreadAlgoTemplate
 from .base import SpreadData, BacktestingMode
 
 sns.set_style("whitegrid")
@@ -38,8 +38,8 @@ class BacktestingEngine:
         self.capital = 1_000_000
         self.mode = BacktestingMode.BAR
 
-        self.strategy_class = None
+        self.strategy_class: Type[SpreadStrategyTemplate] = None
-        self.strategy = None
+        self.strategy: SpreadStrategyTemplate = None
         self.tick: TickData = None
         self.bar: BarData = None
         self.datetime = None
@@ -138,7 +138,8 @@ class BacktestingEngine:
                 self.spread,
                 self.interval,
                 self.start,
-                self.end
+                self.end,
+                self.pricetick
             )
         else:
             self.history_datas = load_tick_data(
@@ -208,8 +209,7 @@ class BacktestingEngine:
                 start_pos,
                 self.size,
                 self.rate,
-                self.slippage,
+                self.slippage
-                self.inverse
             )
 
             pre_close = daily_result.close_price
@@ -427,10 +427,9 @@ class BacktestingEngine:
         """"""
         self.bar = bar
         self.datetime = bar.datetime
+        self.cross_algo()
 
-        self.cross_limit_order()
+        self.strategy.on_spread_bar(bar)
-        self.cross_stop_order()
-        self.strategy.on_bar(bar)
 
         self.update_daily_close(bar.close_price)
 
@@ -438,44 +437,39 @@ class BacktestingEngine:
         """"""
         self.tick = tick
         self.datetime = tick.datetime
+        self.cross_algo()
 
-        self.cross_limit_order()
+        self.spread.bid_price = tick.bid_price_1
-        self.cross_stop_order()
+        self.spread.bid_volume = tick.bid_volume_1
-        self.strategy.on_tick(tick)
+        self.spread.ask_price = tick.ask_price_1
+        self.spread.ask_volume = tick.ask_volume_1
+
+        self.strategy.on_spread_data()
 
         self.update_daily_close(tick.last_price)
 
-    def cross_limit_order(self):
+    def cross_algo(self):
         """
         Cross limit order with last bar/tick data.
         """
         if self.mode == BacktestingMode.BAR:
-            long_cross_price = self.bar.low_price
+            long_cross_price = self.bar.close_price
-            short_cross_price = self.bar.high_price
+            short_cross_price = self.bar.close_price
-            long_best_price = self.bar.open_price
-            short_best_price = self.bar.open_price
         else:
             long_cross_price = self.tick.ask_price_1
             short_cross_price = self.tick.bid_price_1
-            long_best_price = long_cross_price
-            short_best_price = short_cross_price
-
-        for order in list(self.active_limit_orders.values()):
-            # Push order update with status "not traded" (pending).
-            if order.status == Status.SUBMITTING:
-                order.status = Status.NOTTRADED
-                self.strategy.on_order(order)
 
+        for algo in list(self.active_algos.values()):
             # Check whether limit orders can be filled.
             long_cross = (
-                order.direction == Direction.LONG
+                algo.direction == Direction.LONG
-                and order.price >= long_cross_price
+                and algo.price >= long_cross_price
                 and long_cross_price > 0
             )
 
             short_cross = (
-                order.direction == Direction.SHORT
+                algo.direction == Direction.SHORT
-                and order.price <= short_cross_price
+                and algo.price <= short_cross_price
                 and short_cross_price > 0
             )
 
@@ -483,49 +477,49 @@ class BacktestingEngine:
                 continue
 
             # Push order udpate with status "all traded" (filled).
-            order.traded = order.volume
+            algo.traded = algo.volume
-            order.status = Status.ALLTRADED
+            algo.status = Status.ALLTRADED
-            self.strategy.on_order(order)
+            self.strategy.update_spread_algo(algo)
 
-            self.active_limit_orders.pop(order.vt_orderid)
+            self.active_algos.pop(algo.algoid)
 
             # Push trade update
             self.trade_count += 1
 
             if long_cross:
-                trade_price = min(order.price, long_best_price)
+                trade_price = long_cross_price
-                pos_change = order.volume
+                pos_change = algo.volume
             else:
-                trade_price = max(order.price, short_best_price)
+                trade_price = short_cross_price
-                pos_change = -order.volume
+                pos_change = -algo.volume
 
             trade = TradeData(
-                symbol=order.symbol,
+                symbol=self.spread.name,
-                exchange=order.exchange,
+                exchange=Exchange.LOCAL,
-                orderid=order.orderid,
+                orderid=algo.algoid,
                 tradeid=str(self.trade_count),
-                direction=order.direction,
+                direction=algo.direction,
-                offset=order.offset,
+                offset=algo.offset,
                 price=trade_price,
-                volume=order.volume,
+                volume=algo.volume,
                 time=self.datetime.strftime("%H:%M:%S"),
                 gateway_name=self.gateway_name,
             )
             trade.datetime = self.datetime
 
-            self.strategy.pos += pos_change
+            self.spread.net_pos += pos_change
-            self.strategy.on_trade(trade)
+            self.strategy.on_spread_pos()
 
             self.trades[trade.vt_tradeid] = trade
 
     def load_bar(
-        self, spread: str, days: int, interval: Interval, callback: Callable
+        self, spread: SpreadData, days: int, interval: Interval, callback: Callable
     ):
         """"""
         self.days = days
         self.callback = callback
 
-    def load_tick(self, spread: str, days: int, callback: Callable):
+    def load_tick(self, spread: SpreadData, days: int, callback: Callable):
         """"""
         self.days = days
         self.callback = callback
@@ -543,14 +537,39 @@ class BacktestingEngine:
         lock: bool
     ) -> str:
         """"""
-        pass
+        self.algo_count += 1
+        algoid = str(self.algo_count)
+
+        algo = SpreadAlgoTemplate(
+            self,
+            algoid,
+            self.spread,
+            direction,
+            offset,
+            price,
+            volume,
+            payup,
+            interval,
+            lock
+        )
+
+        self.algos[algoid] = algo
+        self.active_algos[algoid] = algo
+
+        return algoid
 
     def stop_algo(
         self,
+        strategy: SpreadStrategyTemplate,
         algoid: str
     ):
         """"""
-        pass
+        if algoid not in self.active_algos:
+            return
+        algo = self.active_algos.pop(algoid)
+
+        algo.status = Status.CANCELLED
+        self.strategy.update_spread_algo(algo)
 
     def send_order(
         self,
@@ -563,23 +582,15 @@ class BacktestingEngine:
         lock: bool
     ):
         """"""
-        price = round_to(price, self.pricetick)
+        pass
-        if stop:
-            vt_orderid = self.send_stop_order(direction, offset, price, volume)
-        else:
-            vt_orderid = self.send_limit_order(direction, offset, price, volume)
-        return [vt_orderid]
 
     def cancel_order(self, strategy: SpreadStrategyTemplate, vt_orderid: str):
         """
         Cancel order by vt_orderid.
         """
-        if vt_orderid.startswith(STOPORDER_PREFIX):
+        pass
-            self.cancel_stop_order(strategy, vt_orderid)
-        else:
-            self.cancel_limit_order(strategy, vt_orderid)
 
-    def write_log(self, msg: str, strategy: SpreadStrategyTemplate = None):
+    def write_strategy_log(self, strategy: SpreadStrategyTemplate, msg: str):
         """
         Write log message.
         """
@@ -598,6 +609,10 @@ class BacktestingEngine:
         """
         pass
 
+    def write_algo_log(self, algo: SpreadAlgoTemplate, msg: str):
+        """"""
+        pass
+
 
 class DailyResult:
     """"""
@@ -633,8 +648,7 @@ class DailyResult:
         start_pos: float,
         size: int,
         rate: float,
-        slippage: float,
+        slippage: float
-        inverse: bool
     ):
         """"""
         # If no pre_close provided on the first day,
@@ -648,12 +662,7 @@ class DailyResult:
         self.start_pos = start_pos
         self.end_pos = start_pos
 
-        if not inverse:     # For normal contract
+        self.holding_pnl = self.start_pos * (self.close_price - self.pre_close) * size
-            self.holding_pnl = self.start_pos * \
-                (self.close_price - self.pre_close) * size
-        else:               # For crypto currency inverse contract
-            self.holding_pnl = self.start_pos * \
-                (1 / self.pre_close - 1 / self.close_price) * size
 
         # Trading pnl is the pnl from new trade during the day
         self.trade_count = len(self.trades)
@@ -666,18 +675,10 @@ class DailyResult:
 
             self.end_pos += pos_change
 
-            # For normal contract
-            if not inverse:
             turnover = trade.volume * size * trade.price
             self.trading_pnl += pos_change * \
                 (self.close_price - trade.price) * size
             self.slippage += trade.volume * size * slippage
-            # For crypto currency inverse contract
-            else:
-                turnover = trade.volume * size / trade.price
-                self.trading_pnl += pos_change * \
-                    (1 / trade.price - 1 / self.close_price) * size
-                self.slippage += trade.volume * size * slippage / (trade.price ** 2)
 
             self.turnover += turnover
             self.commission += turnover * rate
@@ -687,30 +688,72 @@ class DailyResult:
         self.net_pnl = self.total_pnl - self.commission - self.slippage
 
 
-
 @lru_cache(maxsize=999)
 def load_bar_data(
-    symbol: str,
+    spread: SpreadData,
-    exchange: Exchange,
     interval: Interval,
     start: datetime,
-    end: datetime
+    end: datetime,
+    pricetick: float
 ):
     """"""
-    return database_manager.load_bar_data(
+    # Load bar data of each spread leg
+    leg_bars: Dict[str, Dict] = {}
+
+    for vt_symbol in spread.legs.keys():
+        symbol, exchange_str = vt_symbol.split(".")
+        exchange = Exchange(exchange_str)
+
+        bar_data: List[BarData] = database_manager.load_bar_data(
             symbol, exchange, interval, start, end
         )
 
+        bars: Dict[datetime, BarData] = {bar.datetime: bar for bar in bar_data}
+        leg_bars[vt_symbol] = bars
+
+    # Calculate spread bar data
+    spread_bars: List[BarData] = []
+
+    for dt in bars.keys():
+        spread_price = 0
+        spread_available = True
+
+        for leg in spread.legs.values():
+            leg_bar = leg_bars[leg.vt_symbol].get(dt, None)
+
+            if leg_bar:
+                price_multiplier = spread.price_multipliers[leg.vt_symbol]
+                spread_price += price_multiplier * leg_bar.close_price
+            else:
+                spread_available = False
+
+        if spread_available:
+            spread_price = round_to(spread_price, pricetick)
+
+            spread_bar = BarData(
+                symbol=spread.name,
+                exchange=exchange.LOCAL,
+                datetime=dt,
+                interval=interval,
+                open_price=spread_price,
+                high_price=spread_price,
+                low_price=spread_price,
+                close_price=spread_price,
+                gateway_name=BacktestingEngine.gateway_name,
+            )
+            spread_bars.append(spread_bar)
+
+    return spread_bars
+
 
 @lru_cache(maxsize=999)
 def load_tick_data(
-    symbol: str,
+    spread: SpreadData,
-    exchange: Exchange,
     start: datetime,
     end: datetime
 ):
     """"""
     return database_manager.load_tick_data(
-        symbol, exchange, start, end
+        spread.name, Exchange.LOCAL, start, end
     )
 

vnpy/app/spread_trading/base.py

@@ -1,5 +1,6 @@
 from typing import Dict, List
 from datetime import datetime
+from enum import Enum
 
 from vnpy.trader.object import TickData, PositionData, TradeData, ContractData
 from vnpy.trader.constant import Direction, Offset, Exchange

vnpy/app/spread_trading/template.py

@@ -1,10 +1,12 @@
 
 from collections import defaultdict
-from typing import Dict, List, Set
+from typing import Dict, List, Set, Callable
 from copy import copy
 
-from vnpy.trader.object import TickData, TradeData, OrderData, ContractData
+from vnpy.trader.object import (
-from vnpy.trader.constant import Direction, Status, Offset
+    TickData, TradeData, OrderData, ContractData, BarData
+)
+from vnpy.trader.constant import Direction, Status, Offset, Interval
 from vnpy.trader.utility import virtual, floor_to, ceil_to, round_to
 
 from .base import SpreadData, calculate_inverse_volume
@@ -434,6 +436,20 @@ class SpreadStrategyTemplate:
         """
         pass
 
+    @virtual
+    def on_spread_tick(self, tick: TickData):
+        """
+        Callback when new spread tick data is generated.
+        """
+        pass
+
+    @virtual
+    def on_spread_bar(self, bar: BarData):
+        """
+        Callback when new spread bar data is generated.
+        """
+        pass
+
     @virtual
     def on_spread_pos(self):
         """
@@ -635,3 +651,23 @@ class SpreadStrategyTemplate:
         """
         if self.inited:
             self.strategy_engine.send_email(msg, self)
+
+    def load_bar(
+        self,
+        days: int,
+        interval: Interval = Interval.MINUTE,
+        callback: Callable = None,
+    ):
+        """
+        Load historical bar data for initializing strategy.
+        """
+        if not callback:
+            callback = self.on_spread_bar
+
+        self.strategy_engine.load_bar(self.spread, days, interval, callback)
+
+    def load_tick(self, days: int):
+        """
+        Load historical tick data for initializing strategy.
+        """
+        self.strategy_engine.load_tick(self.spread, days, self.on_spread_tick)