Spreader 2 策略
概述
Spreader 2 策略 是从 MetaTrader 专家顾问“Spreader 2”移植而来的配对交易系统。策略在 1 分钟周期内监控两个相关品种的 K 线,当两者的短期波动在受控波动率范围内出现背离但仍保持正相关时,系统会同时买入一只、卖出另一只,建立市场中性头寸。当组合的浮动利润达到设定目标或相关性条件失效时,策略会平掉整个价差。
核心逻辑
- 接收主品种和副品种的收盘完成 K 线,并根据收盘时间对齐。
- 维护两个品种的滚动收盘价序列,便于引用
ShiftLength、2 * ShiftLength以及1440根之前的数据。 - 计算主品种的
x1、x2与副品种的y1、y2一阶差分,用于识别短期波动方向。 - 若任一品种连续两段同方向波动(趋势过滤)或
x1 * y1为负(负相关),则放弃交易。 - 计算波动率比值
a / b(其中a = |x1| + |x2|、b = |y1| + |y2|),仅当比值处于0.3到3.0范围内时才继续。 - 按照波动率比值缩放副品种仓位,并根据合约的最小成交量、步长与上限进行调整。
- 使用 1440 根(约一天)历史数据确认方向,仅在长周期走势支持短周期信号时才开仓。
- 同时开仓两个腿:主品种使用
PrimaryVolume设定的手数,副品种使用调整后的手数反向交易。 - 持仓期间实时累计两个腿的浮动盈亏,当总盈亏超过
TargetProfit时立刻平仓并清空入场参考价。 - 若出现单腿意外平仓,保护逻辑会自动关闭另一条腿或在条件允许时重新补仓,以保持价差对冲结构。
参数
- SecondSecurity:参与价差的副品种(必填)。
- PrimaryVolume:主品种的下单手数,默认
1。 - TargetProfit:组合浮动利润目标(绝对金额),默认
100。 - ShiftLength:差分计算时引用的间隔 K 线数量,默认
30。 - CandleType:订阅的 K 线类型,默认使用 1 分钟时间框架。
交易规则
- 仅处理状态为完成的 K 线,避免基于未结束数据下单。
- 两个品种最近两段的波动方向必须相反,才能视为回归机会。
- 相关性必须为正,且波动率比值需保持在
[0.3, 3.0]区间。 - 1440 根的长周期检查必须支持当前方向,否则信号作废。
- 使用市价单开仓,副品种委托明确指定证券与组合,以匹配原始脚本的行为。
- 结合最新收盘价与记录的入场价计算浮动盈亏,从而判断是否达到获利目标。
备注
- 策略假设两个品种的合约乘数兼容。若乘数不一致,策略会记录警告并停止交易。
- 由于原始算法需要完整的一天历史数据,移植版本同样会等待至少 1440 根 K 线后才允许首次进场。
- 若需要额外的风险控制(例如止损、限时平仓),可在策略外部叠加其他风控组件。
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
using Ecng.ComponentModel;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Pair trading strategy inspired by the "Spreader 2" MetaTrader expert.
/// Looks for short term mean-reverting moves between two correlated symbols
/// and trades the spread once correlation and volatility filters align.
/// </summary>
public class Spreader2Strategy : Strategy
{
private readonly StrategyParam<Security> _secondSecurityParam;
private readonly StrategyParam<decimal> _primaryVolumeParam;
private readonly StrategyParam<decimal> _targetProfitParam;
private readonly StrategyParam<int> _shiftParam;
private readonly StrategyParam<DataType> _candleTypeParam;
private readonly StrategyParam<int> _dayBarsParam;
private readonly Queue<ICandleMessage> _firstPending = new();
private readonly Queue<ICandleMessage> _secondPending = new();
private readonly List<decimal> _firstCloses = new();
private readonly List<decimal> _secondCloses = new();
private static readonly object _sync = new();
private decimal _lastFirstClose;
private decimal _lastSecondClose;
private decimal _firstEntryPrice;
private decimal _secondEntryPrice;
private decimal _secondPosition;
private Portfolio _secondPortfolio;
private bool _contractsMatch = true;
/// <summary>
/// Secondary security involved in the spread.
/// </summary>
public Security SecondSecurity
{
get => _secondSecurityParam.Value;
set => _secondSecurityParam.Value = value;
}
/// <summary>
/// Trading volume for the primary security.
/// </summary>
public decimal PrimaryVolume
{
get => _primaryVolumeParam.Value;
set => _primaryVolumeParam.Value = value;
}
/// <summary>
/// Target profit (absolute money) for the combined position.
/// </summary>
public decimal TargetProfit
{
get => _targetProfitParam.Value;
set => _targetProfitParam.Value = value;
}
/// <summary>
/// Number of bars between comparison points.
/// </summary>
public int ShiftLength
{
get => _shiftParam.Value;
set => _shiftParam.Value = value;
}
/// <summary>
/// Number of intraday bars considered when calculating daily statistics.
/// </summary>
public int DayBars
{
get => _dayBarsParam.Value;
set => _dayBarsParam.Value = value;
}
/// <summary>
/// Candle type used for analysis.
/// </summary>
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="Spreader2Strategy"/> class.
/// </summary>
public Spreader2Strategy()
{
_secondSecurityParam = Param<Security>(nameof(SecondSecurity))
.SetDisplay("Second Symbol", "Secondary instrument for the spread trade", "General")
.SetRequired();
_primaryVolumeParam = Param(nameof(PrimaryVolume), 1m)
.SetGreaterThanZero()
.SetDisplay("Primary Volume", "Order volume for the primary symbol", "Trading")
.SetOptimize(0.5m, 3m, 0.5m);
_targetProfitParam = Param(nameof(TargetProfit), 100m)
.SetGreaterThanZero()
.SetDisplay("Target Profit", "Total profit target for the pair position", "Risk")
.SetOptimize(20m, 200m, 20m);
_shiftParam = Param(nameof(ShiftLength), 6)
.SetGreaterThanZero()
.SetDisplay("Shift Length", "Number of bars between comparison points", "Logic")
.SetOptimize(10, 60, 10);
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for pair analysis", "General");
_dayBarsParam = Param(nameof(DayBars), 288)
.SetGreaterThanZero()
.SetDisplay("Day Bars", "Number of intraday bars used for rolling statistics", "Data")
;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, CandleType);
yield return (SecondSecurity, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_firstPending.Clear();
_secondPending.Clear();
_firstCloses.Clear();
_secondCloses.Clear();
_lastFirstClose = 0m;
_lastSecondClose = 0m;
_firstEntryPrice = 0m;
_secondEntryPrice = 0m;
_secondPosition = 0m;
_secondPortfolio = null;
_contractsMatch = true;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (SecondSecurity == null)
throw new InvalidOperationException("Second security is not specified.");
_secondPortfolio = Portfolio ?? throw new InvalidOperationException("Portfolio is not specified.");
if (Security?.Multiplier != null && SecondSecurity?.Multiplier != null && Security.Multiplier != SecondSecurity.Multiplier)
{
LogWarning($"Contract size mismatch between {Security?.Code} and {SecondSecurity?.Code}. Trading disabled.");
_contractsMatch = false;
}
var primarySubscription = SubscribeCandles(CandleType);
primarySubscription
.Bind(ProcessPrimaryCandle)
.Start();
var secondarySubscription = SubscribeCandles(CandleType, security: SecondSecurity);
secondarySubscription
.Bind(ProcessSecondaryCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, primarySubscription);
DrawOwnTrades(area);
}
}
private void ProcessPrimaryCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_lastFirstClose = candle.ClosePrice;
lock (_sync)
{
_firstPending.Enqueue(candle);
ProcessPendingCandles();
}
}
private void ProcessSecondaryCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_lastSecondClose = candle.ClosePrice;
lock (_sync)
{
_secondPending.Enqueue(candle);
ProcessPendingCandles();
}
}
private void ProcessPendingCandles()
{
while (_firstPending.Count > 0 && _secondPending.Count > 0)
{
var first = _firstPending.Peek();
var second = _secondPending.Peek();
if (first is null)
{
_firstPending.Dequeue();
continue;
}
if (second is null)
{
_secondPending.Dequeue();
continue;
}
if (first.CloseTime < second.CloseTime)
{
_firstPending.Dequeue();
continue;
}
if (second.CloseTime < first.CloseTime)
{
_secondPending.Dequeue();
continue;
}
_firstPending.Dequeue();
_secondPending.Dequeue();
HandlePairedCandles(first, second);
}
}
private void HandlePairedCandles(ICandleMessage firstCandle, ICandleMessage secondCandle)
{
var maxHistory = Math.Max(DayBars, ShiftLength * 2) + 10;
AppendHistory(_firstCloses, firstCandle.ClosePrice, maxHistory);
AppendHistory(_secondCloses, secondCandle.ClosePrice, maxHistory);
if (!UpdateProfitCheck(firstCandle.ClosePrice, secondCandle.ClosePrice))
return;
if (!_contractsMatch)
return;
if (PrimaryVolume <= 0m)
return;
if (_firstCloses.Count <= ShiftLength * 2 || _secondCloses.Count <= ShiftLength * 2)
return;
if (_firstCloses.Count <= DayBars || _secondCloses.Count <= DayBars)
return;
var currentIndex = _firstCloses.Count - 1;
var secondIndex = _secondCloses.Count - 1;
var shift = ShiftLength;
var shiftIndex = currentIndex - shift;
var shiftIndex2 = currentIndex - (shift * 2);
var dayIndex = currentIndex - DayBars;
var secondShiftIndex = secondIndex - shift;
var secondShiftIndex2 = secondIndex - (shift * 2);
var secondDayIndex = secondIndex - DayBars;
if (shiftIndex < 0 || shiftIndex2 < 0 || dayIndex < 0)
return;
if (secondShiftIndex < 0 || secondShiftIndex2 < 0 || secondDayIndex < 0)
return;
var closeCur0 = _firstCloses[currentIndex];
var closeCurShift = _firstCloses[shiftIndex];
var closeCurShift2 = _firstCloses[shiftIndex2];
var closeCurDay = _firstCloses[dayIndex];
var closeSec0 = _secondCloses[secondIndex];
var closeSecShift = _secondCloses[secondShiftIndex];
var closeSecShift2 = _secondCloses[secondShiftIndex2];
var closeSecDay = _secondCloses[secondDayIndex];
// Use relative (percentage) moves so the ratio comparison works for instruments with different price scales.
var x1 = closeCurShift == 0m ? 0m : (closeCur0 - closeCurShift) / closeCurShift;
var x2 = closeCurShift2 == 0m ? 0m : (closeCurShift - closeCurShift2) / closeCurShift2;
var y1 = closeSecShift == 0m ? 0m : (closeSec0 - closeSecShift) / closeSecShift;
var y2 = closeSecShift2 == 0m ? 0m : (closeSecShift - closeSecShift2) / closeSecShift2;
if ((x1 * x2) > 0m)
{
LogInfo($"Trend detected on {Security?.Code}, skipping correlation check.");
return;
}
if ((y1 * y2) > 0m)
{
LogInfo($"Trend detected on {SecondSecurity?.Code}, skipping correlation check.");
return;
}
if ((x1 * y1) <= 0m)
{
LogInfo("Negative correlation detected. Waiting for better alignment.");
return;
}
var a = Math.Abs(x1) + Math.Abs(x2);
var b = Math.Abs(y1) + Math.Abs(y2);
if (b == 0m)
return;
var ratio = a / b;
if (ratio > 3m)
return;
if (ratio < 0.3m)
return;
var secondVolume = AdjustSecondaryVolume(ratio * PrimaryVolume);
if (secondVolume <= 0m)
{
LogInfo("Secondary volume too small after adjustment. Skipping trade.");
return;
}
var x3 = closeCurDay == 0m ? 0m : (closeCur0 - closeCurDay) / closeCurDay;
var y3 = closeSecDay == 0m ? 0m : (closeSec0 - closeSecDay) / closeSecDay;
var primarySide = x1 * b > y1 * a ? Sides.Buy : Sides.Sell;
var secondarySide = primarySide == Sides.Buy ? Sides.Sell : Sides.Buy;
if (primarySide == Sides.Buy && (x3 * b) < (y3 * a))
{
LogInfo("Buy signal rejected by daily confirmation check.");
return;
}
if (primarySide == Sides.Sell && (x3 * b) > (y3 * a))
{
LogInfo("Sell signal rejected by daily confirmation check.");
return;
}
OpenPair(primarySide, secondarySide, secondVolume);
}
private bool UpdateProfitCheck(decimal firstClose, decimal secondClose)
{
var primaryPosition = Position;
var hasSecondary = _secondPosition != 0m;
if (primaryPosition == 0m && !hasSecondary)
return true;
if (primaryPosition != 0m && !hasSecondary)
{
LogInfo("Secondary position missing. Closing primary exposure.");
ClosePrimaryPosition();
return false;
}
if (primaryPosition == 0m && hasSecondary)
{
var requiredSide = _secondPosition > 0m ? Sides.Sell : Sides.Buy;
LogInfo("Primary position missing. Opening trade to balance spread.");
OpenPrimary(requiredSide, PrimaryVolume);
return false;
}
if (_firstEntryPrice == 0m || _secondEntryPrice == 0m)
return false;
var primaryVolume = Math.Abs(primaryPosition);
var secondaryVolume = Math.Abs(_secondPosition);
var primaryProfit = primaryPosition > 0m
? (firstClose - _firstEntryPrice) * primaryVolume
: (_firstEntryPrice - firstClose) * primaryVolume;
var secondaryProfit = _secondPosition > 0m
? (secondClose - _secondEntryPrice) * secondaryVolume
: (_secondEntryPrice - secondClose) * secondaryVolume;
var totalProfit = primaryProfit + secondaryProfit;
if (totalProfit >= TargetProfit)
{
LogInfo($"Target profit reached ({totalProfit:F2}). Closing both legs.");
ClosePair();
}
return false;
}
private void OpenPair(Sides primarySide, Sides secondarySide, decimal secondaryVolume)
{
OpenSecondary(secondarySide, secondaryVolume);
OpenPrimary(primarySide, PrimaryVolume);
LogInfo($"Opened spread: {primarySide} {PrimaryVolume} {Security?.Code}, {secondarySide} {secondaryVolume} {SecondSecurity?.Code}.");
}
private void OpenPrimary(Sides side, decimal volume)
{
if (volume <= 0m)
return;
if (side == Sides.Buy)
BuyMarket(volume);
else
SellMarket(volume);
_firstEntryPrice = _lastFirstClose;
}
private void OpenSecondary(Sides side, decimal volume)
{
if (volume <= 0m || SecondSecurity == null || _secondPortfolio == null)
return;
var order = CreateOrder(side, _lastSecondClose, volume);
order.Type = OrderTypes.Market;
order.Security = SecondSecurity;
order.Portfolio = _secondPortfolio;
RegisterOrder(order);
_secondPosition = side == Sides.Buy ? volume : -volume;
_secondEntryPrice = _lastSecondClose;
}
private void ClosePair()
{
ClosePrimaryPosition();
CloseSecondaryPosition();
}
private void ClosePrimaryPosition()
{
var primaryPosition = Position;
if (primaryPosition > 0m)
SellMarket(primaryPosition);
else if (primaryPosition < 0m)
BuyMarket(Math.Abs(primaryPosition));
_firstEntryPrice = 0m;
}
private void CloseSecondaryPosition()
{
if (_secondPosition == 0m || SecondSecurity == null || _secondPortfolio == null)
return;
var side = _secondPosition > 0m ? Sides.Sell : Sides.Buy;
var volume = Math.Abs(_secondPosition);
var order = CreateOrder(side, _lastSecondClose, volume);
order.Type = OrderTypes.Market;
order.Security = SecondSecurity;
order.Portfolio = _secondPortfolio;
RegisterOrder(order);
_secondPosition = 0m;
_secondEntryPrice = 0m;
}
private decimal AdjustSecondaryVolume(decimal requestedVolume)
{
if (SecondSecurity == null)
return 0m;
var volume = Math.Abs(requestedVolume);
var step = SecondSecurity.VolumeStep ?? 0m;
if (step > 0m)
volume = decimal.Floor(volume / step) * step;
var min = SecondSecurity.MinVolume ?? 0m;
if (min > 0m && volume < min)
return 0m;
var max = SecondSecurity.MaxVolume;
if (max != null && volume > max.Value)
volume = max.Value;
return volume;
}
private static void AppendHistory(List<decimal> storage, decimal value, int maxHistory)
{
storage.Add(value);
if (storage.Count > maxHistory)
storage.RemoveAt(0);
}
}
import clr
import math
import threading
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from collections import deque
from StockSharp.Messages import DataType, CandleStates, OrderTypes, Sides
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security
from datatype_extensions import *
class spreader2_strategy(Strategy):
"""
Pair trading strategy inspired by the 'Spreader 2' MetaTrader expert.
Looks for short term mean-reverting moves between two correlated symbols
and trades the spread once correlation and volatility filters align.
"""
def __init__(self):
super(spreader2_strategy, self).__init__()
self._second_security_param = self.Param[Security]("SecondSecurity", None) \
.SetDisplay("Second Symbol", "Secondary instrument for the spread trade", "General") \
.SetRequired()
self._primary_volume_param = self.Param("PrimaryVolume", 1.0) \
.SetGreaterThanZero() \
.SetDisplay("Primary Volume", "Order volume for the primary symbol", "Trading") \
.SetOptimize(0.5, 3.0, 0.5)
self._target_profit_param = self.Param("TargetProfit", 100.0) \
.SetGreaterThanZero() \
.SetDisplay("Target Profit", "Total profit target for the pair position", "Risk") \
.SetOptimize(20.0, 200.0, 20.0)
self._shift_param = self.Param("ShiftLength", 6) \
.SetGreaterThanZero() \
.SetDisplay("Shift Length", "Number of bars between comparison points", "Logic") \
.SetOptimize(10, 60, 10)
self._candle_type_param = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Timeframe for pair analysis", "General")
self._day_bars_param = self.Param("DayBars", 288) \
.SetGreaterThanZero() \
.SetDisplay("Day Bars", "Number of intraday bars used for rolling statistics", "Data")
# Internal state
self._first_pending = deque()
self._second_pending = deque()
self._first_closes = []
self._second_closes = []
self._lock = threading.Lock()
self._last_first_close = 0.0
self._last_second_close = 0.0
self._first_entry_price = 0.0
self._second_entry_price = 0.0
self._second_position = 0.0
self._second_portfolio = None
self._contracts_match = True
@property
def SecondSecurity(self):
return self._second_security_param.Value
@SecondSecurity.setter
def SecondSecurity(self, value):
self._second_security_param.Value = value
@property
def PrimaryVolume(self):
return self._primary_volume_param.Value
@PrimaryVolume.setter
def PrimaryVolume(self, value):
self._primary_volume_param.Value = value
@property
def TargetProfit(self):
return self._target_profit_param.Value
@TargetProfit.setter
def TargetProfit(self, value):
self._target_profit_param.Value = value
@property
def ShiftLength(self):
return self._shift_param.Value
@ShiftLength.setter
def ShiftLength(self, value):
self._shift_param.Value = value
@property
def CandleType(self):
return self._candle_type_param.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type_param.Value = value
@property
def DayBars(self):
return self._day_bars_param.Value
@DayBars.setter
def DayBars(self, value):
self._day_bars_param.Value = value
def GetWorkingSecurities(self):
return [
(self.Security, self.CandleType),
(self.SecondSecurity, self.CandleType)
]
def OnReseted(self):
super(spreader2_strategy, self).OnReseted()
self._first_pending.clear()
self._second_pending.clear()
self._first_closes.clear()
self._second_closes.clear()
self._last_first_close = 0.0
self._last_second_close = 0.0
self._first_entry_price = 0.0
self._second_entry_price = 0.0
self._second_position = 0.0
self._second_portfolio = None
self._contracts_match = True
def OnStarted2(self, time):
super(spreader2_strategy, self).OnStarted2(time)
if self.SecondSecurity is None:
raise Exception("Second security is not specified.")
self._second_portfolio = self.Portfolio
if self._second_portfolio is None:
raise Exception("Portfolio is not specified.")
sec = self.Security
sec2 = self.SecondSecurity
if sec is not None and sec2 is not None \
and sec.Multiplier is not None and sec2.Multiplier is not None \
and sec.Multiplier != sec2.Multiplier:
self.LogWarning("Contract size mismatch between {0} and {1}. Trading disabled.".format(
sec.Code, sec2.Code))
self._contracts_match = False
primary_subscription = self.SubscribeCandles(self.CandleType)
primary_subscription.Bind(self._process_primary_candle).Start()
secondary_subscription = self.SubscribeCandles(self.CandleType, security=self.SecondSecurity)
secondary_subscription.Bind(self._process_secondary_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, primary_subscription)
self.DrawOwnTrades(area)
def _process_primary_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._last_first_close = float(candle.ClosePrice)
with self._lock:
self._first_pending.append(candle)
self._process_pending_candles()
def _process_secondary_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._last_second_close = float(candle.ClosePrice)
with self._lock:
self._second_pending.append(candle)
self._process_pending_candles()
def _process_pending_candles(self):
while len(self._first_pending) > 0 and len(self._second_pending) > 0:
first = self._first_pending[0]
second = self._second_pending[0]
if first is None:
self._first_pending.popleft()
continue
if second is None:
self._second_pending.popleft()
continue
if first.CloseTime < second.CloseTime:
self._first_pending.popleft()
continue
if second.CloseTime < first.CloseTime:
self._second_pending.popleft()
continue
self._first_pending.popleft()
self._second_pending.popleft()
self._handle_paired_candles(first, second)
def _handle_paired_candles(self, first_candle, second_candle):
max_history = max(self.DayBars, self.ShiftLength * 2) + 10
self._append_history(self._first_closes, float(first_candle.ClosePrice), max_history)
self._append_history(self._second_closes, float(second_candle.ClosePrice), max_history)
if not self._update_profit_check(float(first_candle.ClosePrice), float(second_candle.ClosePrice)):
return
if not self._contracts_match:
return
if self.PrimaryVolume <= 0:
return
shift = self.ShiftLength
if len(self._first_closes) <= shift * 2 or len(self._second_closes) <= shift * 2:
return
if len(self._first_closes) <= self.DayBars or len(self._second_closes) <= self.DayBars:
return
current_index = len(self._first_closes) - 1
second_index = len(self._second_closes) - 1
shift_index = current_index - shift
shift_index2 = current_index - (shift * 2)
day_index = current_index - self.DayBars
second_shift_index = second_index - shift
second_shift_index2 = second_index - (shift * 2)
second_day_index = second_index - self.DayBars
if shift_index < 0 or shift_index2 < 0 or day_index < 0:
return
if second_shift_index < 0 or second_shift_index2 < 0 or second_day_index < 0:
return
close_cur0 = self._first_closes[current_index]
close_cur_shift = self._first_closes[shift_index]
close_cur_shift2 = self._first_closes[shift_index2]
close_cur_day = self._first_closes[day_index]
close_sec0 = self._second_closes[second_index]
close_sec_shift = self._second_closes[second_shift_index]
close_sec_shift2 = self._second_closes[second_shift_index2]
close_sec_day = self._second_closes[second_day_index]
# Use relative (percentage) moves so the ratio comparison works
# for instruments with different price scales.
x1 = 0.0 if close_cur_shift == 0 else (close_cur0 - close_cur_shift) / close_cur_shift
x2 = 0.0 if close_cur_shift2 == 0 else (close_cur_shift - close_cur_shift2) / close_cur_shift2
y1 = 0.0 if close_sec_shift == 0 else (close_sec0 - close_sec_shift) / close_sec_shift
y2 = 0.0 if close_sec_shift2 == 0 else (close_sec_shift - close_sec_shift2) / close_sec_shift2
if (x1 * x2) > 0:
sec = self.Security
self.LogInfo("Trend detected on {0}, skipping correlation check.".format(
sec.Code if sec is not None else "?"))
return
if (y1 * y2) > 0:
sec2 = self.SecondSecurity
self.LogInfo("Trend detected on {0}, skipping correlation check.".format(
sec2.Code if sec2 is not None else "?"))
return
if (x1 * y1) <= 0:
self.LogInfo("Negative correlation detected. Waiting for better alignment.")
return
a = abs(x1) + abs(x2)
b = abs(y1) + abs(y2)
if b == 0:
return
ratio = a / b
if ratio > 3.0:
return
if ratio < 0.3:
return
second_volume = self._adjust_secondary_volume(ratio * self.PrimaryVolume)
if second_volume <= 0:
self.LogInfo("Secondary volume too small after adjustment. Skipping trade.")
return
x3 = 0.0 if close_cur_day == 0 else (close_cur0 - close_cur_day) / close_cur_day
y3 = 0.0 if close_sec_day == 0 else (close_sec0 - close_sec_day) / close_sec_day
primary_side = Sides.Buy if x1 * b > y1 * a else Sides.Sell
secondary_side = Sides.Sell if primary_side == Sides.Buy else Sides.Buy
if primary_side == Sides.Buy and (x3 * b) < (y3 * a):
self.LogInfo("Buy signal rejected by daily confirmation check.")
return
if primary_side == Sides.Sell and (x3 * b) > (y3 * a):
self.LogInfo("Sell signal rejected by daily confirmation check.")
return
self._open_pair(primary_side, secondary_side, second_volume)
def _update_profit_check(self, first_close, second_close):
primary_position = float(self.Position)
has_secondary = self._second_position != 0
if primary_position == 0 and not has_secondary:
return True
if primary_position != 0 and not has_secondary:
self.LogInfo("Secondary position missing. Closing primary exposure.")
self._close_primary_position()
return False
if primary_position == 0 and has_secondary:
required_side = Sides.Sell if self._second_position > 0 else Sides.Buy
self.LogInfo("Primary position missing. Opening trade to balance spread.")
self._open_primary(required_side, self.PrimaryVolume)
return False
if self._first_entry_price == 0 or self._second_entry_price == 0:
return False
primary_volume = abs(primary_position)
secondary_volume = abs(self._second_position)
if primary_position > 0:
primary_profit = (first_close - self._first_entry_price) * primary_volume
else:
primary_profit = (self._first_entry_price - first_close) * primary_volume
if self._second_position > 0:
secondary_profit = (second_close - self._second_entry_price) * secondary_volume
else:
secondary_profit = (self._second_entry_price - second_close) * secondary_volume
total_profit = primary_profit + secondary_profit
if total_profit >= self.TargetProfit:
self.LogInfo("Target profit reached ({0:.2f}). Closing both legs.".format(total_profit))
self._close_pair()
return False
def _open_pair(self, primary_side, secondary_side, secondary_volume):
self._open_secondary(secondary_side, secondary_volume)
self._open_primary(primary_side, self.PrimaryVolume)
sec = self.Security
sec2 = self.SecondSecurity
self.LogInfo("Opened spread: {0} {1} {2}, {3} {4} {5}.".format(
primary_side, self.PrimaryVolume,
sec.Code if sec is not None else "?",
secondary_side, secondary_volume,
sec2.Code if sec2 is not None else "?"))
def _open_primary(self, side, volume):
if volume <= 0:
return
if side == Sides.Buy:
self.BuyMarket(volume)
else:
self.SellMarket(volume)
self._first_entry_price = self._last_first_close
def _open_secondary(self, side, volume):
if volume <= 0 or self.SecondSecurity is None or self._second_portfolio is None:
return
order = self.CreateOrder(side, self._last_second_close, volume)
order.Type = OrderTypes.Market
order.Security = self.SecondSecurity
order.Portfolio = self._second_portfolio
self.RegisterOrder(order)
self._second_position = volume if side == Sides.Buy else -volume
self._second_entry_price = self._last_second_close
def _close_pair(self):
self._close_primary_position()
self._close_secondary_position()
def _close_primary_position(self):
primary_position = float(self.Position)
if primary_position > 0:
self.SellMarket(primary_position)
elif primary_position < 0:
self.BuyMarket(abs(primary_position))
self._first_entry_price = 0.0
def _close_secondary_position(self):
if self._second_position == 0 or self.SecondSecurity is None or self._second_portfolio is None:
return
side = Sides.Sell if self._second_position > 0 else Sides.Buy
volume = abs(self._second_position)
order = self.CreateOrder(side, self._last_second_close, volume)
order.Type = OrderTypes.Market
order.Security = self.SecondSecurity
order.Portfolio = self._second_portfolio
self.RegisterOrder(order)
self._second_position = 0.0
self._second_entry_price = 0.0
def _adjust_secondary_volume(self, requested_volume):
if self.SecondSecurity is None:
return 0.0
volume = abs(requested_volume)
step = self.SecondSecurity.VolumeStep
if step is not None:
step = float(step)
if step > 0:
volume = math.floor(volume / step) * step
min_vol = self.SecondSecurity.MinVolume
if min_vol is not None:
min_vol = float(min_vol)
if min_vol > 0 and volume < min_vol:
return 0.0
max_vol = self.SecondSecurity.MaxVolume
if max_vol is not None:
max_vol = float(max_vol)
if volume > max_vol:
volume = max_vol
return volume
@staticmethod
def _append_history(storage, value, max_history):
storage.append(value)
if len(storage) > max_history:
storage.pop(0)
def CreateClone(self):
return spreader2_strategy()