Spreader 2 Strategy
Overview
The Spreader 2 Strategy is a pair-trading system converted from the MetaTrader expert advisor "Spreader 2". It watches two correlated instruments on a one-minute timeframe and looks for short-term deviations between their price movements. When both legs diverge within controlled volatility bounds while maintaining positive correlation, the strategy opens a market-neutral spread by going long one symbol and short the other. The combined position is closed when the total floating profit meets the configured target or when correlation rules are violated.
Core Logic
- Receive finished candles for the primary and secondary symbols and align them by close time.
- Maintain rolling lists of closing prices so the algorithm can reference values that are
ShiftLength,2 * ShiftLength, and1440bars in the past. - Compute first differences (
x1,x2for the primary symbol andy1,y2for the secondary symbol) to detect local swings. - Skip trading when either instrument shows two consecutive moves in the same direction (trend filter) or when the products
x1 * y1indicate negative correlation. - Evaluate the volatility ratio
a / bwherea = |x1| + |x2|andb = |y1| + |y2|. Only proceed when the ratio remains between0.3and3.0. - Scale the secondary leg volume proportionally to the volatility ratio and adjust it to the contract's volume step, minimum, and maximum values.
- Confirm the intended trade direction with the 1440-bar (roughly one trading day) lookback. The spread is opened only when the daily move supports the shorter-term signal.
- The strategy opens both legs simultaneously: the primary symbol trades with the configured
PrimaryVolume, while the secondary symbol trades the adjusted size in the opposite direction. - While positions are open, the system continuously tracks floating profit of both legs. When the combined profit exceeds
TargetProfit, it closes the spread and resets the entry references. - Safety checks automatically close orphaned positions if one leg exits unexpectedly and reopen missing legs when possible to keep the hedge balanced.
Parameters
- SecondSecurity – secondary instrument participating in the spread. This parameter is required.
- PrimaryVolume – trade volume (in lots/contracts) for the primary symbol. Default is
1. - TargetProfit – absolute monetary profit target for the combined pair. Default is
100. - ShiftLength – number of candles between comparison points used in the first-difference calculations. Default is
30. - CandleType – data type used for candle subscriptions. By default the strategy works with one-minute time frame candles.
Trading Rules
- Only finished candles are processed to avoid acting on incomplete data.
- Trend filters must show opposing moves over the last two
ShiftLengthwindows for both symbols. - Correlation must be positive, and the volatility ratio must remain in the
[0.3, 3.0]band. - The confirmation check against the 1440-bar lookback prevents trades that contradict the longer-term direction.
- Orders are sent with
OrderTypes.Market. The secondary leg is registered explicitly with the secondary security and portfolio to mirror the MetaTrader behaviour. - Open profit is computed using the latest candle closes and stored entry prices to determine when to exit the spread.
Notes
- The strategy assumes both instruments share compatible contract specifications. If multipliers differ, trading is disabled and a warning is logged.
- Because the original algorithm relies on a full day of historical data, the StockSharp version also waits until at least 1440 candles are accumulated before the first entry.
- All risk management logic (profit target, orphaned-leg handling) is contained inside the strategy. Additional protections such as stop-losses can be added externally if required.
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()