Estratégia de Cobertura de Sobreposição Multicurrency
Conversão do consultor especializado MetaTrader 4 "Multicurrency hedge example EA (overlay hedge)" para a API de alto nível do StockSharp.
Visão geral
- Trabalha com um universo de símbolos forex fornecidos pelo usuário e monitora todos os pares únicos.
- Calcula correlação de Pearson deslizante e ratios de ATR para determinar quais símbolos se movem juntos e como dimensionar ambas as pernas.
- Constrói sobreposições de preço sintéticas para detectar quando o instrumento principal se desvia de seu parceiro correlacionado além de um limiar configurável.
- Abre blocos cobertos (compra/venda, compra/compra, venda/compra, venda/venda) dependendo do sinal de correlação e da direção de sobreposição.
- Fecha o bloco inteiro assim que um alvo de take-profit mútuo é atingido em pontos ou na moeda do portfólio.
Fluxo de trabalho
- Inscrever-se em velas completadas para cada instrumento no universo e armazenar os últimos valores de high/low/close.
- Inscrever-se em cotações Level1 de cada instrumento para aplicar filtros de spread antes de enviar coberturas.
- Uma vez por dia (padrão 01:00 no horário do servidor) reconstruir a lista de pares negociáveis:
- Manter apenas pares onde a correlação absoluta está acima do limiar configurado.
- Calcular o ratio de ATR para escalar o volume da perna principal.
- Para cada vela completada verificar a distância de sobreposição:
- Correlação positiva ⇒ comprar principal / vender secundária quando o desvio está abaixo de
-OverlayThresholdpontos, vender principal / comprar secundária quando está acima de+OverlayThresholdpontos. - Correlação negativa ⇒ comprar ambas as pernas abaixo do limiar negativo, vender ambas as pernas acima do limiar positivo.
- Correlação positiva ⇒ comprar principal / vender secundária quando o desvio está abaixo de
- Rastrear blocos de cobertura abertos e fechá-los quando o lucro agregado atingir qualquer uma das condições de take-profit.
Parâmetros
| Parâmetro | Descrição | Padrão |
|---|---|---|
Universe |
Coleção de objetos Security para escanear. Precisa de pelo menos duas entradas. |
vazio |
CandleType |
Tipo de dados de velas usado para cálculos. | Período de 1 minuto |
RangeLength |
Número de barras usadas para calcular envelopes de preço. | 400 |
CorrelationLookback |
Barras usadas para correlação de Pearson. | 500 |
AtrLookback |
Barras usadas para dimensionamento do ratio de ATR. | 200 |
CorrelationThreshold |
Correlação absoluta mínima para manter um par (0–1). | 0.90 |
OverlayThreshold |
Distância de sobreposição em pontos medida usando o passo do instrumento principal. | 100 |
TakeProfitByPoints / TakeProfitPoints |
Habilita e configura take-profit mútuo baseado em pontos. | true / 10 |
TakeProfitByCurrency / TakeProfitCurrency |
Habilita e configura take-profit mútuo baseado em moeda. | false / 10 |
MaxOpenPairs |
Máximo de blocos de cobertura abertos simultaneamente. | 10 |
BaseVolume |
Volume da perna secundária (volume da perna principal = BaseVolume * ATR ratio). |
1 |
RecalculationHour |
Hora do dia em que as correlações são recalculadas. | 1 |
MaxSpread |
Spread bid-ask máximo permitido por perna (em pontos). | 10 |
Requisitos de dados
- Velas históricas e ao vivo para cada instrumento em
Universecom oCandleTypeespecificado. - Atualizações de cotações Level1 para cada instrumento para validar spreads.
- Informações de portfólio para registro de ordens.
Notas de uso
- A estratégia não auto-popula o universo; passe os símbolos forex desejados antes de iniciar.
- Para imitar a lógica de dimensionamento do MetaTrader, mantenha
BaseVolumeigual ao tamanho de lote da perna secundária. O volume da perna principal é automaticamente escalado pelo ratio de ATR. - Se os dados de spread não estiverem disponíveis, a estratégia pulará novas entradas até que o primeiro snapshot do livro de ordens chegue.
- A lógica de fechamento estima o lucro mútuo combinando o movimento com sinal de cada perna usando o passo de preço do instrumento e o preço do passo.
Diferenças do EA original
- Usa assinaturas StockSharp (
SubscribeCandles,SubscribeLevel1) em vez de polling baseado em temporizador. - A lógica de take-profit é implementada com informações médias do passo de preço em vez de lucro/comissão bruta de operação.
- Requer um parâmetro de universo explícito, permitindo que a estratégia seja executada em qualquer subconjunto de instrumentos suportados pelo StockSharp.
- A execução de ordens é realizada através de ordens a mercado do StockSharp com comentários por cobertura para rastreabilidade.
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 StockSharp.Algo;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Multicurrency overlay hedge strategy converted from MQL.
/// Scans a universe of forex symbols, pairs positively/negatively correlated instruments and opens hedged blocks when the overlay threshold is breached.
/// </summary>
public class MulticurrencyOverlayHedgeStrategy : Strategy
{
private readonly StrategyParam<IEnumerable<Security>> _universe;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rangeLength;
private readonly StrategyParam<int> _correlationLookback;
private readonly StrategyParam<int> _atrLookback;
private readonly StrategyParam<decimal> _correlationThreshold;
private readonly StrategyParam<decimal> _overlayThreshold;
private readonly StrategyParam<bool> _takeProfitByPoints;
private readonly StrategyParam<decimal> _takeProfitPoints;
private readonly StrategyParam<bool> _takeProfitByCurrency;
private readonly StrategyParam<decimal> _takeProfitCurrency;
private readonly StrategyParam<int> _maxOpenPairs;
private readonly StrategyParam<decimal> _baseVolume;
private readonly StrategyParam<int> _recalcHour;
private readonly StrategyParam<decimal> _maxSpread;
private readonly Dictionary<Security, SecurityContext> _contexts = new();
private readonly Dictionary<HedgePairKey, HedgeState> _pairs = new();
private readonly Dictionary<Security, List<HedgePairKey>> _pairsBySecurity = new();
private readonly List<Security> _universeList = new();
private DateTime _lastRecalcDay = DateTime.MinValue;
/// <summary>
/// Securities used for correlation scan.
/// </summary>
public IEnumerable<Security> Universe
{
get => _universe.Value;
set => _universe.Value = value;
}
/// <summary>
/// Candle type used for all calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Lookback window used to compute price ranges.
/// </summary>
public int RangeLength
{
get => _rangeLength.Value;
set => _rangeLength.Value = value;
}
/// <summary>
/// Number of bars used to measure correlation.
/// </summary>
public int CorrelationLookback
{
get => _correlationLookback.Value;
set => _correlationLookback.Value = value;
}
/// <summary>
/// Number of bars used to compute ATR ratio.
/// </summary>
public int AtrLookback
{
get => _atrLookback.Value;
set => _atrLookback.Value = value;
}
/// <summary>
/// Minimum absolute correlation required to create a pair.
/// </summary>
public decimal CorrelationThreshold
{
get => _correlationThreshold.Value;
set => _correlationThreshold.Value = value;
}
/// <summary>
/// Overlay threshold in points for triggering a hedge.
/// </summary>
public decimal OverlayThreshold
{
get => _overlayThreshold.Value;
set => _overlayThreshold.Value = value;
}
/// <summary>
/// Enables point based mutual take profit.
/// </summary>
public bool TakeProfitByPoints
{
get => _takeProfitByPoints.Value;
set => _takeProfitByPoints.Value = value;
}
/// <summary>
/// Target points required to close the hedge block.
/// </summary>
public decimal TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Enables currency based mutual take profit.
/// </summary>
public bool TakeProfitByCurrency
{
get => _takeProfitByCurrency.Value;
set => _takeProfitByCurrency.Value = value;
}
/// <summary>
/// Currency profit threshold for closing the hedge block.
/// </summary>
public decimal TakeProfitCurrency
{
get => _takeProfitCurrency.Value;
set => _takeProfitCurrency.Value = value;
}
/// <summary>
/// Maximum number of simultaneously open hedge pairs.
/// </summary>
public int MaxOpenPairs
{
get => _maxOpenPairs.Value;
set => _maxOpenPairs.Value = value;
}
/// <summary>
/// Base volume used for the secondary leg.
/// </summary>
public decimal BaseVolume
{
get => _baseVolume.Value;
set => _baseVolume.Value = value;
}
/// <summary>
/// Hour of the day when correlations are recalculated.
/// </summary>
public int RecalculationHour
{
get => _recalcHour.Value;
set => _recalcHour.Value = value;
}
/// <summary>
/// Maximum allowed spread in points for each leg.
/// </summary>
public decimal MaxSpread
{
get => _maxSpread.Value;
set => _maxSpread.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="MulticurrencyOverlayHedgeStrategy"/>.
/// </summary>
public MulticurrencyOverlayHedgeStrategy()
{
_universe = Param<IEnumerable<Security>>(nameof(Universe), Array.Empty<Security>())
.SetDisplay("Universe", "Collection of forex symbols", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Time frame used for analysis", "General");
_rangeLength = Param(nameof(RangeLength), 400)
.SetGreaterThanZero()
.SetDisplay("Range Length", "Bars used to build price envelopes", "Parameters");
_correlationLookback = Param(nameof(CorrelationLookback), 500)
.SetGreaterThanZero()
.SetDisplay("Correlation Lookback", "Bars used for Pearson correlation", "Parameters");
_atrLookback = Param(nameof(AtrLookback), 200)
.SetGreaterThanZero()
.SetDisplay("ATR Lookback", "Bars used to compute ATR ratio", "Parameters");
_correlationThreshold = Param(nameof(CorrelationThreshold), 0.9m)
.SetDisplay("Correlation Threshold", "Absolute correlation required for pairing", "Parameters");
_overlayThreshold = Param(nameof(OverlayThreshold), 100m)
.SetGreaterThanZero()
.SetDisplay("Overlay Threshold", "Distance in points to trigger hedging", "Trading");
_takeProfitByPoints = Param(nameof(TakeProfitByPoints), true)
.SetDisplay("TP by Points", "Enable point based take profit", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 10m)
.SetGreaterThanZero()
.SetDisplay("Points Target", "Mutual take profit in points", "Risk");
_takeProfitByCurrency = Param(nameof(TakeProfitByCurrency), false)
.SetDisplay("TP by Currency", "Enable currency based take profit", "Risk");
_takeProfitCurrency = Param(nameof(TakeProfitCurrency), 10m)
.SetGreaterThanZero()
.SetDisplay("Currency Target", "Mutual take profit in account currency", "Risk");
_maxOpenPairs = Param(nameof(MaxOpenPairs), 10)
.SetGreaterThanZero()
.SetDisplay("Max Pairs", "Maximum simultaneously open hedges", "Risk");
_baseVolume = Param(nameof(BaseVolume), 1m)
.SetGreaterThanZero()
.SetDisplay("Base Volume", "Secondary leg volume in lots", "Trading");
_recalcHour = Param(nameof(RecalculationHour), 1)
.SetDisplay("Recalc Hour", "Hour to rebuild pair statistics", "Trading");
_maxSpread = Param(nameof(MaxSpread), 10m)
.SetGreaterThanZero()
.SetDisplay("Max Spread", "Max allowed spread in points", "Trading");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
var universe = Universe;
if (universe == null)
yield break;
foreach (var security in universe)
{
if (security == null)
continue;
yield return (security, CandleType);
}
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_contexts.Clear();
_pairs.Clear();
_pairsBySecurity.Clear();
_universeList.Clear();
_lastRecalcDay = DateTime.MinValue;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var universe = Universe;
if (universe == null)
throw new InvalidOperationException("Universe must be configured before starting the strategy.");
_universeList.Clear();
foreach (var security in universe)
{
if (security == null)
continue;
if (!_universeList.Contains(security))
_universeList.Add(security);
}
if (_universeList.Count < 2)
throw new InvalidOperationException("Universe must contain at least two securities.");
foreach (var security in _universeList)
{
var correlationCapacity = Math.Max(2, CorrelationLookback);
var context = new SecurityContext(security, correlationCapacity, RangeLength, AtrLookback);
_contexts[security] = context;
_pairsBySecurity[security] = new List<HedgePairKey>();
// Subscribe to finished candles for this security.
SubscribeCandles(CandleType, true, security)
.Bind(candle => ProcessCandle(candle, security))
.Start();
// Track best bid/ask for spread filtering.
SubscribeLevel1(security)
.Bind(message => context.UpdateLevel1(message))
.Start();
}
StartProtection(null, null);
}
private void ProcessCandle(ICandleMessage candle, Security security)
{
if (candle.State != CandleStates.Finished)
return;
var context = _contexts[security];
context.Update(candle);
if (ShouldRecalculate(candle))
RecalculatePairs();
ManageOpenHedges();
if (_pairsBySecurity.TryGetValue(security, out var pairs))
{
for (var i = 0; i < pairs.Count; i++)
{
TryOpenHedge(pairs[i]);
}
}
}
private bool ShouldRecalculate(ICandleMessage candle)
{
var day = candle.OpenTime.Date;
if (day == _lastRecalcDay)
return false;
if (candle.OpenTime.Hour < RecalculationHour)
return false;
_lastRecalcDay = day;
return true;
}
private void RecalculatePairs()
{
foreach (var list in _pairsBySecurity.Values)
list.Clear();
var count = _universeList.Count;
for (var i = 0; i < count; i++)
{
var first = _universeList[i];
var firstContext = _contexts[first];
if (!firstContext.HasCorrelationData(CorrelationLookback))
continue;
for (var j = i + 1; j < count; j++)
{
var second = _universeList[j];
var secondContext = _contexts[second];
if (!secondContext.HasCorrelationData(CorrelationLookback))
continue;
var correlation = CalculateCorrelation(firstContext, secondContext);
var absCorrelation = Math.Abs(correlation);
if (absCorrelation < CorrelationThreshold)
continue;
var atrRatio = CalculateAtrRatio(firstContext, secondContext);
if (atrRatio <= 0m)
continue;
var key = new HedgePairKey(first, second);
if (!_pairs.TryGetValue(key, out var state))
{
state = new HedgeState(key);
_pairs[key] = state;
}
state.IsPositive = correlation >= 0m;
state.AtrRatio = atrRatio;
_pairsBySecurity[first].Add(key);
_pairsBySecurity[second].Add(key);
}
}
var toRemove = new List<HedgePairKey>();
foreach (var pair in _pairs)
{
var key = pair.Key;
var state = pair.Value;
if (state.IsOpen)
continue;
if (!_pairsBySecurity.TryGetValue(key.First, out var list) || !list.Contains(key))
toRemove.Add(key);
}
for (var i = 0; i < toRemove.Count; i++)
_pairs.Remove(toRemove[i]);
}
private void ManageOpenHedges()
{
foreach (var pair in _pairs)
{
var state = pair.Value;
if (!state.IsOpen)
continue;
var points = CalculatePoints(state);
if (TakeProfitByPoints && points >= TakeProfitPoints)
{
CloseHedge(state, "TP_POINTS");
continue;
}
var currency = CalculateCurrency(state);
if (TakeProfitByCurrency && currency >= TakeProfitCurrency)
CloseHedge(state, "TP_CURRENCY");
}
}
private void TryOpenHedge(HedgePairKey key)
{
if (!_pairs.TryGetValue(key, out var state))
return;
if (state.IsOpen)
return;
var firstContext = _contexts[key.First];
var secondContext = _contexts[key.Second];
if (!firstContext.HasRangeData(RangeLength) || !secondContext.HasRangeData(RangeLength))
return;
if (!IsSecurityAvailable(key.First) || !IsSecurityAvailable(key.Second))
return;
if (MaxOpenPairs > 0 && GetOpenPairsCount() >= MaxOpenPairs)
return;
if (!IsSpreadWithinLimit(firstContext) || !IsSpreadWithinLimit(secondContext))
return;
var action = DetermineAction(state, firstContext, secondContext);
if (action == HedgeActions.None)
return;
var baseVolume = BaseVolume;
if (baseVolume <= 0m)
return;
var scaledVolume = baseVolume * state.AtrRatio;
if (scaledVolume <= 0m)
return;
var directions = GetDirections(action);
var targetFirst = directions.dirFirst * scaledVolume;
var targetSecond = directions.dirSecond * baseVolume;
TradeToTarget(key.First, targetFirst, state.Tag);
TradeToTarget(key.Second, targetSecond, state.Tag);
state.Dir1 = directions.dirFirst;
state.Dir2 = directions.dirSecond;
state.Volume1 = scaledVolume;
state.Volume2 = baseVolume;
state.Entry1 = firstContext.LastClose;
state.Entry2 = secondContext.LastClose;
state.IsOpen = true;
}
private bool IsSecurityAvailable(Security security)
{
foreach (var pair in _pairs)
{
var state = pair.Value;
if (!state.IsOpen)
continue;
if (pair.Key.First == security || pair.Key.Second == security)
return false;
}
return true;
}
private int GetOpenPairsCount()
{
var count = 0;
foreach (var pair in _pairs)
{
if (pair.Value.IsOpen)
count++;
}
return count;
}
private bool IsSpreadWithinLimit(SecurityContext context)
{
if (MaxSpread <= 0m)
return true;
var spread = context.GetSpreadPoints();
if (spread == decimal.MaxValue)
return true;
return spread <= MaxSpread;
}
private HedgeActions DetermineAction(HedgeState state, SecurityContext first, SecurityContext second)
{
var highMain = first.GetHigh(RangeLength);
var lowMain = first.GetLow(RangeLength);
if (highMain <= lowMain)
return HedgeActions.None;
decimal subHigh;
decimal subLow;
if (state.IsPositive)
{
subHigh = second.GetHigh(RangeLength);
subLow = second.GetLow(RangeLength);
}
else
{
subHigh = second.GetLow(RangeLength);
subLow = second.GetHigh(RangeLength);
}
if (subHigh <= subLow)
return HedgeActions.None;
var mainCenter = (highMain + lowMain) / 2m;
var subCenter = (subHigh + subLow) / 2m;
var denominator = subHigh - subLow;
if (denominator == 0m)
return HedgeActions.None;
var pipsRatio = (highMain - lowMain) / denominator;
if (pipsRatio == 0m)
return HedgeActions.None;
var subCloseOffset = second.LastClose - subCenter;
var syntheticClose = mainCenter + subCloseOffset * pipsRatio;
var step = first.Security.PriceStep ?? 0m;
if (step <= 0m)
step = 1m;
var hedgeRange = (first.LastClose - syntheticClose) / step;
if (hedgeRange < -OverlayThreshold)
return state.IsPositive ? HedgeActions.BuyMainSellSub : HedgeActions.BuyBoth;
if (hedgeRange > OverlayThreshold)
return state.IsPositive ? HedgeActions.SellMainBuySub : HedgeActions.SellBoth;
return HedgeActions.None;
}
private (int dirFirst, int dirSecond) GetDirections(HedgeActions action)
{
return action switch
{
HedgeActions.BuyMainSellSub => (1, -1),
HedgeActions.SellMainBuySub => (-1, 1),
HedgeActions.BuyBoth => (1, 1),
HedgeActions.SellBoth => (-1, -1),
_ => (0, 0)
};
}
private void TradeToTarget(Security security, decimal targetVolume, string tag)
{
if (Portfolio == null)
return;
var current = GetPositionValue(security, Portfolio) ?? 0m;
var diff = targetVolume - current;
if (Math.Abs(diff) < 1e-6m)
return;
var order = new Order
{
Security = security,
Portfolio = Portfolio,
Volume = Math.Abs(diff),
Side = diff > 0m ? Sides.Buy : Sides.Sell,
Type = OrderTypes.Market,
Comment = tag
};
RegisterOrder(order);
}
private void CloseHedge(HedgeState state, string reason)
{
TradeToTarget(state.First, 0m, reason);
TradeToTarget(state.Second, 0m, reason);
state.IsOpen = false;
state.Dir1 = 0;
state.Dir2 = 0;
state.Volume1 = 0m;
state.Volume2 = 0m;
state.Entry1 = 0m;
state.Entry2 = 0m;
}
private decimal CalculatePoints(HedgeState state)
{
var first = _contexts[state.First];
var second = _contexts[state.Second];
var stepFirst = first.Security.PriceStep ?? 1m;
var stepSecond = second.Security.PriceStep ?? 1m;
if (stepFirst == 0m)
stepFirst = 1m;
if (stepSecond == 0m)
stepSecond = 1m;
var moveFirst = state.Dir1 * (first.LastClose - state.Entry1) / stepFirst * state.Volume1;
var moveSecond = state.Dir2 * (second.LastClose - state.Entry2) / stepSecond * state.Volume2;
return moveFirst + moveSecond;
}
private decimal CalculateCurrency(HedgeState state)
{
var first = _contexts[state.First];
var second = _contexts[state.Second];
var stepFirst = first.Security.PriceStep ?? 1m;
var stepSecond = second.Security.PriceStep ?? 1m;
if (stepFirst == 0m)
stepFirst = 1m;
if (stepSecond == 0m)
stepSecond = 1m;
var priceStepFirst = this.GetSecurityValue<decimal?>(first.Security, Level1Fields.StepPrice) ?? stepFirst;
var priceStepSecond = this.GetSecurityValue<decimal?>(second.Security, Level1Fields.StepPrice) ?? stepSecond;
var pnlFirst = state.Dir1 * (first.LastClose - state.Entry1) / stepFirst * priceStepFirst * state.Volume1;
var pnlSecond = state.Dir2 * (second.LastClose - state.Entry2) / stepSecond * priceStepSecond * state.Volume2;
return pnlFirst + pnlSecond;
}
private decimal CalculateCorrelation(SecurityContext first, SecurityContext second)
{
var lookback = CorrelationLookback;
var available = Math.Min(first.CloseCount, second.CloseCount);
if (lookback <= 0 || lookback > available)
lookback = available;
if (lookback < 2)
return 0m;
decimal sumX = 0m;
decimal sumY = 0m;
decimal sumXY = 0m;
decimal sumX2 = 0m;
decimal sumY2 = 0m;
using var enumX = first.GetRecentCloses(lookback).GetEnumerator();
using var enumY = second.GetRecentCloses(lookback).GetEnumerator();
while (enumX.MoveNext() && enumY.MoveNext())
{
var x = enumX.Current;
var y = enumY.Current;
sumX += x;
sumY += y;
sumXY += x * y;
sumX2 += x * x;
sumY2 += y * y;
}
var numerator = lookback * sumXY - sumX * sumY;
var denomPart1 = lookback * sumX2 - sumX * sumX;
var denomPart2 = lookback * sumY2 - sumY * sumY;
if (denomPart1 <= 0m || denomPart2 <= 0m)
return 0m;
var denominator = (decimal)Math.Sqrt((double)(denomPart1 * denomPart2));
if (denominator == 0m)
return 0m;
return numerator / denominator;
}
private decimal CalculateAtrRatio(SecurityContext first, SecurityContext second)
{
var lookback = AtrLookback;
var available = Math.Min(first.TrueRangeCount, second.TrueRangeCount);
if (lookback <= 0 || lookback > available)
lookback = available;
if (lookback <= 0)
return 0m;
var atrFirst = first.GetAverageTrueRange(lookback);
var atrSecond = second.GetAverageTrueRange(lookback);
if (atrFirst <= 0m || atrSecond <= 0m)
return 0m;
return atrSecond / atrFirst;
}
private enum HedgeActions
{
None,
BuyMainSellSub,
SellMainBuySub,
BuyBoth,
SellBoth
}
private sealed class HedgeState
{
public HedgeState(HedgePairKey key)
{
Key = key;
Tag = $"HEDGE_{key.First?.Id}_{key.Second?.Id}";
}
public HedgePairKey Key { get; }
public Security First => Key.First;
public Security Second => Key.Second;
public bool IsPositive { get; set; }
public decimal AtrRatio { get; set; }
public bool IsOpen { get; set; }
public int Dir1 { get; set; }
public int Dir2 { get; set; }
public decimal Volume1 { get; set; }
public decimal Volume2 { get; set; }
public decimal Entry1 { get; set; }
public decimal Entry2 { get; set; }
public string Tag { get; }
}
private readonly struct HedgePairKey : IEquatable<HedgePairKey>
{
public HedgePairKey(Security first, Security second)
{
First = first ?? throw new ArgumentNullException(nameof(first));
Second = second ?? throw new ArgumentNullException(nameof(second));
}
public Security First { get; }
public Security Second { get; }
public bool Equals(HedgePairKey other)
{
return First == other.First && Second == other.Second;
}
public override bool Equals(object obj)
{
return obj is HedgePairKey other && Equals(other);
}
public override int GetHashCode()
{
return HashCode.Combine(First, Second);
}
}
private sealed class SecurityContext
{
private readonly RollingBuffer _closes;
private readonly RollingBuffer _highs;
private readonly RollingBuffer _lows;
private readonly RollingBuffer _trueRanges;
private decimal _previousClose;
private bool _hasPreviousClose;
public SecurityContext(Security security, int correlationCapacity, int rangeCapacity, int atrCapacity)
{
Security = security ?? throw new ArgumentNullException(nameof(security));
_closes = new RollingBuffer(Math.Max(2, correlationCapacity));
_highs = new RollingBuffer(Math.Max(1, rangeCapacity));
_lows = new RollingBuffer(Math.Max(1, rangeCapacity));
_trueRanges = new RollingBuffer(Math.Max(1, atrCapacity));
}
public Security Security { get; }
public decimal LastClose { get; private set; }
public decimal? BestBid { get; private set; }
public decimal? BestAsk { get; private set; }
public int CloseCount => _closes.Count;
public int TrueRangeCount => _trueRanges.Count;
public void Update(ICandleMessage candle)
{
_closes.Add(candle.ClosePrice);
_highs.Add(candle.HighPrice);
_lows.Add(candle.LowPrice);
decimal trueRange;
if (_hasPreviousClose)
{
var range = candle.HighPrice - candle.LowPrice;
var highDiff = Math.Abs(candle.HighPrice - _previousClose);
var lowDiff = Math.Abs(candle.LowPrice - _previousClose);
trueRange = Math.Max(range, Math.Max(highDiff, lowDiff));
}
else
{
trueRange = candle.HighPrice - candle.LowPrice;
_hasPreviousClose = true;
}
_trueRanges.Add(trueRange);
_previousClose = candle.ClosePrice;
LastClose = candle.ClosePrice;
}
public void UpdateLevel1(Level1ChangeMessage message)
{
BestBid = message.TryGetDecimal(Level1Fields.BestBidPrice) ?? BestBid;
BestAsk = message.TryGetDecimal(Level1Fields.BestAskPrice) ?? BestAsk;
}
public bool HasCorrelationData(int required)
{
if (required <= 0)
return _closes.Count >= 2;
return _closes.Count >= required;
}
public bool HasRangeData(int required)
{
return _highs.Count >= required && _lows.Count >= required;
}
public IEnumerable<decimal> GetRecentCloses(int count) => _closes.EnumerateRecent(count);
public decimal GetHigh(int count) => _highs.Max(count);
public decimal GetLow(int count) => _lows.Min(count);
public decimal GetAverageTrueRange(int count) => _trueRanges.Average(count);
public decimal GetSpreadPoints()
{
var step = Security.PriceStep ?? 0m;
if (BestBid is not decimal bid || BestAsk is not decimal ask || step <= 0m)
return decimal.MaxValue;
return (ask - bid) / step;
}
}
private sealed class RollingBuffer
{
private readonly decimal[] _buffer;
private int _start;
private int _count;
public RollingBuffer(int capacity)
{
_buffer = new decimal[Math.Max(1, capacity)];
_start = 0;
_count = 0;
}
public int Count => _count;
public void Add(decimal value)
{
if (_count < _buffer.Length)
{
var index = (_start + _count) % _buffer.Length;
_buffer[index] = value;
_count++;
}
else
{
_buffer[_start] = value;
_start = (_start + 1) % _buffer.Length;
}
}
public IEnumerable<decimal> EnumerateRecent(int count)
{
if (count > _count)
count = _count;
for (var i = 0; i < count; i++)
{
var index = (_start + _count - count + i) % _buffer.Length;
yield return _buffer[index];
}
}
public decimal Max(int count)
{
if (_count == 0)
return 0m;
if (count > _count)
count = _count;
var max = decimal.MinValue;
for (var i = 0; i < count; i++)
{
var index = (_start + _count - count + i) % _buffer.Length;
var value = _buffer[index];
if (value > max)
max = value;
}
return max;
}
public decimal Min(int count)
{
if (_count == 0)
return 0m;
if (count > _count)
count = _count;
var min = decimal.MaxValue;
for (var i = 0; i < count; i++)
{
var index = (_start + _count - count + i) % _buffer.Length;
var value = _buffer[index];
if (value < min)
min = value;
}
return min;
}
public decimal Average(int count)
{
if (_count == 0)
return 0m;
if (count > _count || count <= 0)
count = _count;
decimal sum = 0m;
for (var i = 0; i < count; i++)
{
var index = (_start + _count - count + i) % _buffer.Length;
sum += _buffer[index];
}
return sum / count;
}
}
}
import clr
import math
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, DateTime
from System.Collections.Generic import IEnumerable
from StockSharp.Messages import DataType, CandleStates, Level1Fields, Sides, OrderTypes
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security, Order
# ---------------------------------------------------------------------------
# Helper classes (ported from C# inner classes)
# ---------------------------------------------------------------------------
class RollingBuffer:
"""Fixed-capacity circular buffer of floats with aggregate helpers."""
def __init__(self, capacity):
self._capacity = max(1, capacity)
self._buffer = [0.0] * self._capacity
self._start = 0
self._count = 0
@property
def count(self):
return self._count
def add(self, value):
if self._count < self._capacity:
index = (self._start + self._count) % self._capacity
self._buffer[index] = value
self._count += 1
else:
self._buffer[self._start] = value
self._start = (self._start + 1) % self._capacity
def enumerate_recent(self, n):
if n > self._count:
n = self._count
result = []
for i in range(n):
index = (self._start + self._count - n + i) % self._capacity
result.append(self._buffer[index])
return result
def max_val(self, n):
if self._count == 0:
return 0.0
if n > self._count:
n = self._count
best = -1e308
for i in range(n):
index = (self._start + self._count - n + i) % self._capacity
v = self._buffer[index]
if v > best:
best = v
return best
def min_val(self, n):
if self._count == 0:
return 0.0
if n > self._count:
n = self._count
best = 1e308
for i in range(n):
index = (self._start + self._count - n + i) % self._capacity
v = self._buffer[index]
if v < best:
best = v
return best
def average(self, n):
if self._count == 0:
return 0.0
if n > self._count or n <= 0:
n = self._count
total = 0.0
for i in range(n):
index = (self._start + self._count - n + i) % self._capacity
total += self._buffer[index]
return total / n
class SecurityContext:
"""Per-security state: rolling closes, highs, lows, true-ranges, and Level1 prices."""
def __init__(self, security, correlation_capacity, range_capacity, atr_capacity):
self.security = security
self._closes = RollingBuffer(max(2, correlation_capacity))
self._highs = RollingBuffer(max(1, range_capacity))
self._lows = RollingBuffer(max(1, range_capacity))
self._true_ranges = RollingBuffer(max(1, atr_capacity))
self._previous_close = 0.0
self._has_previous_close = False
self.last_close = 0.0
self.best_bid = None
self.best_ask = None
@property
def close_count(self):
return self._closes.count
@property
def true_range_count(self):
return self._true_ranges.count
def update(self, candle):
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
self._closes.add(close)
self._highs.add(high)
self._lows.add(low)
if self._has_previous_close:
rng = high - low
high_diff = abs(high - self._previous_close)
low_diff = abs(low - self._previous_close)
true_range = max(rng, max(high_diff, low_diff))
else:
true_range = high - low
self._has_previous_close = True
self._true_ranges.add(true_range)
self._previous_close = close
self.last_close = close
def update_level1(self, message):
bid = message.TryGetDecimal(Level1Fields.BestBidPrice)
ask = message.TryGetDecimal(Level1Fields.BestAskPrice)
if bid is not None:
self.best_bid = float(bid)
if ask is not None:
self.best_ask = float(ask)
def has_correlation_data(self, required):
if required <= 0:
return self._closes.count >= 2
return self._closes.count >= required
def has_range_data(self, required):
return self._highs.count >= required and self._lows.count >= required
def get_recent_closes(self, n):
return self._closes.enumerate_recent(n)
def get_high(self, n):
return self._highs.max_val(n)
def get_low(self, n):
return self._lows.min_val(n)
def get_average_true_range(self, n):
return self._true_ranges.average(n)
def get_spread_points(self):
step = self.security.PriceStep
if step is not None:
step = float(step)
else:
step = 0.0
if self.best_bid is None or self.best_ask is None or step <= 0.0:
return 1e308
return (self.best_ask - self.best_bid) / step
class HedgePairKey:
"""Hashable pair identifier for two securities."""
def __init__(self, first, second):
self.first = first
self.second = second
def __eq__(self, other):
if not isinstance(other, HedgePairKey):
return False
return self.first == other.first and self.second == other.second
def __hash__(self):
return hash((id(self.first), id(self.second)))
class HedgeState:
"""Mutable state for one hedge pair."""
def __init__(self, key):
self.key = key
first_id = key.first.Id if key.first is not None else "?"
second_id = key.second.Id if key.second is not None else "?"
self.tag = "HEDGE_{0}_{1}".format(first_id, second_id)
self.is_positive = True
self.atr_ratio = 0.0
self.is_open = False
self.dir1 = 0
self.dir2 = 0
self.volume1 = 0.0
self.volume2 = 0.0
self.entry1 = 0.0
self.entry2 = 0.0
@property
def first(self):
return self.key.first
@property
def second(self):
return self.key.second
# Hedge action enum
HEDGE_NONE = 0
HEDGE_BUY_MAIN_SELL_SUB = 1
HEDGE_SELL_MAIN_BUY_SUB = 2
HEDGE_BUY_BOTH = 3
HEDGE_SELL_BOTH = 4
# ---------------------------------------------------------------------------
# Strategy
# ---------------------------------------------------------------------------
class multicurrency_overlay_hedge_strategy(Strategy):
"""
Multicurrency overlay hedge strategy converted from MQL.
Scans a universe of forex symbols, pairs positively/negatively correlated
instruments and opens hedged blocks when the overlay threshold is breached.
"""
def __init__(self):
super(multicurrency_overlay_hedge_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Time frame used for analysis", "General")
self._range_length = self.Param("RangeLength", 400) \
.SetDisplay("Range Length", "Bars used to build price envelopes", "Parameters")
self._correlation_lookback = self.Param("CorrelationLookback", 500) \
.SetDisplay("Correlation Lookback", "Bars used for Pearson correlation", "Parameters")
self._atr_lookback = self.Param("AtrLookback", 200) \
.SetDisplay("ATR Lookback", "Bars used to compute ATR ratio", "Parameters")
self._correlation_threshold = self.Param("CorrelationThreshold", 0.9) \
.SetDisplay("Correlation Threshold", "Absolute correlation required for pairing", "Parameters")
self._overlay_threshold = self.Param("OverlayThreshold", 100.0) \
.SetDisplay("Overlay Threshold", "Distance in points to trigger hedging", "Trading")
self._take_profit_by_points = self.Param("TakeProfitByPoints", True) \
.SetDisplay("TP by Points", "Enable point based take profit", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 10.0) \
.SetDisplay("Points Target", "Mutual take profit in points", "Risk")
self._take_profit_by_currency = self.Param("TakeProfitByCurrency", False) \
.SetDisplay("TP by Currency", "Enable currency based take profit", "Risk")
self._take_profit_currency = self.Param("TakeProfitCurrency", 10.0) \
.SetDisplay("Currency Target", "Mutual take profit in account currency", "Risk")
self._max_open_pairs = self.Param("MaxOpenPairs", 10) \
.SetDisplay("Max Pairs", "Maximum simultaneously open hedges", "Risk")
self._base_volume_param = self.Param("BaseVolume", 1.0) \
.SetDisplay("Base Volume", "Secondary leg volume in lots", "Trading")
self._recalc_hour = self.Param("RecalculationHour", 1) \
.SetDisplay("Recalc Hour", "Hour to rebuild pair statistics", "Trading")
self._max_spread = self.Param("MaxSpread", 10.0) \
.SetDisplay("Max Spread", "Max allowed spread in points", "Trading")
self._universe_param = self.Param("Universe", None) \
.SetDisplay("Universe", "Collection of forex symbols", "General")
# Internal state
self._contexts = {} # Security -> SecurityContext
self._pairs = {} # HedgePairKey -> HedgeState
self._pairs_by_security = {} # Security -> [HedgePairKey]
self._universe_list = [] # [Security]
self._last_recalc_day = DateTime.MinValue
# --- Properties ---------------------------------------------------------
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def RangeLength(self):
return int(self._range_length.Value)
@property
def CorrelationLookback(self):
return int(self._correlation_lookback.Value)
@property
def AtrLookback(self):
return int(self._atr_lookback.Value)
@property
def CorrelationThreshold(self):
return float(self._correlation_threshold.Value)
@property
def OverlayThreshold(self):
return float(self._overlay_threshold.Value)
@property
def TakeProfitByPoints(self):
return bool(self._take_profit_by_points.Value)
@property
def TakeProfitPoints(self):
return float(self._take_profit_points.Value)
@property
def TakeProfitByCurrency(self):
return bool(self._take_profit_by_currency.Value)
@property
def TakeProfitCurrency(self):
return float(self._take_profit_currency.Value)
@property
def MaxOpenPairs(self):
return int(self._max_open_pairs.Value)
@property
def BaseVolume(self):
return float(self._base_volume_param.Value)
@property
def RecalculationHour(self):
return int(self._recalc_hour.Value)
@property
def MaxSpread(self):
return float(self._max_spread.Value)
# --- Overrides ----------------------------------------------------------
def GetWorkingSecurities(self):
result = []
universe = self._universe_param.Value
if universe is not None:
for sec in universe:
if sec is not None:
result.append((sec, self.CandleType))
return result
def OnReseted(self):
super(multicurrency_overlay_hedge_strategy, self).OnReseted()
self._contexts.clear()
self._pairs.clear()
self._pairs_by_security.clear()
self._universe_list = []
self._last_recalc_day = DateTime.MinValue
def OnStarted2(self, time):
super(multicurrency_overlay_hedge_strategy, self).OnStarted2(time)
universe = self._universe_param.Value
self._universe_list = []
if universe is not None:
for sec in universe:
if sec is not None and sec not in self._universe_list:
self._universe_list.append(sec)
if len(self._universe_list) < 2:
raise Exception("Universe must contain at least two securities.")
for sec in self._universe_list:
corr_cap = max(2, self.CorrelationLookback)
ctx = SecurityContext(sec, corr_cap, self.RangeLength, self.AtrLookback)
self._contexts[sec] = ctx
self._pairs_by_security[sec] = []
self.SubscribeCandles(self.CandleType, True, sec) \
.Bind(lambda candle, s=sec: self._process_candle(candle, s)) \
.Start()
self.SubscribeLevel1(sec) \
.Bind(lambda msg, c=ctx: c.update_level1(msg)) \
.Start()
self.StartProtection(None, None)
def CreateClone(self):
return multicurrency_overlay_hedge_strategy()
# --- Candle processing --------------------------------------------------
def _process_candle(self, candle, security):
if candle.State != CandleStates.Finished:
return
ctx = self._contexts.get(security)
if ctx is None:
return
ctx.update(candle)
if self._should_recalculate(candle):
self._recalculate_pairs()
self._manage_open_hedges()
pair_keys = self._pairs_by_security.get(security)
if pair_keys is not None:
for key in list(pair_keys):
self._try_open_hedge(key)
# --- Recalculation timing -----------------------------------------------
def _should_recalculate(self, candle):
try:
open_time = candle.OpenTime.UtcDateTime
except Exception:
open_time = candle.OpenTime
day = open_time.Date
if day == self._last_recalc_day:
return False
if open_time.Hour < self.RecalculationHour:
return False
self._last_recalc_day = day
return True
# --- Pair recalculation -------------------------------------------------
def _recalculate_pairs(self):
for lst in self._pairs_by_security.values():
del lst[:]
count = len(self._universe_list)
correlation_lookback = self.CorrelationLookback
correlation_threshold = self.CorrelationThreshold
for i in range(count):
first = self._universe_list[i]
first_ctx = self._contexts[first]
if not first_ctx.has_correlation_data(correlation_lookback):
continue
for j in range(i + 1, count):
second = self._universe_list[j]
second_ctx = self._contexts[second]
if not second_ctx.has_correlation_data(correlation_lookback):
continue
correlation = self._calculate_correlation(first_ctx, second_ctx)
abs_corr = abs(correlation)
if abs_corr < correlation_threshold:
continue
atr_ratio = self._calculate_atr_ratio(first_ctx, second_ctx)
if atr_ratio <= 0.0:
continue
key = HedgePairKey(first, second)
state = self._pairs.get(key)
if state is None:
state = HedgeState(key)
self._pairs[key] = state
state.is_positive = correlation >= 0.0
state.atr_ratio = atr_ratio
self._pairs_by_security[first].append(key)
self._pairs_by_security[second].append(key)
to_remove = []
for key, state in list(self._pairs.items()):
if state.is_open:
continue
first_list = self._pairs_by_security.get(key.first)
if first_list is None or key not in first_list:
to_remove.append(key)
for key in to_remove:
del self._pairs[key]
# --- Open hedge management ----------------------------------------------
def _manage_open_hedges(self):
for key, state in list(self._pairs.items()):
if not state.is_open:
continue
points = self._calculate_points(state)
if self.TakeProfitByPoints and points >= self.TakeProfitPoints:
self._close_hedge(state, "TP_POINTS")
continue
currency = self._calculate_currency(state)
if self.TakeProfitByCurrency and currency >= self.TakeProfitCurrency:
self._close_hedge(state, "TP_CURRENCY")
# --- Try opening a hedge ------------------------------------------------
def _try_open_hedge(self, key):
state = self._pairs.get(key)
if state is None:
return
if state.is_open:
return
first_ctx = self._contexts.get(key.first)
second_ctx = self._contexts.get(key.second)
if first_ctx is None or second_ctx is None:
return
range_length = self.RangeLength
if not first_ctx.has_range_data(range_length) or not second_ctx.has_range_data(range_length):
return
if not self._is_security_available(key.first) or not self._is_security_available(key.second):
return
max_open = self.MaxOpenPairs
if max_open > 0 and self._get_open_pairs_count() >= max_open:
return
if not self._is_spread_within_limit(first_ctx) or not self._is_spread_within_limit(second_ctx):
return
action = self._determine_action(state, first_ctx, second_ctx)
if action == HEDGE_NONE:
return
base_volume = self.BaseVolume
if base_volume <= 0.0:
return
scaled_volume = base_volume * state.atr_ratio
if scaled_volume <= 0.0:
return
dir_first, dir_second = self._get_directions(action)
target_first = dir_first * scaled_volume
target_second = dir_second * base_volume
self._trade_to_target(key.first, target_first, state.tag)
self._trade_to_target(key.second, target_second, state.tag)
state.dir1 = dir_first
state.dir2 = dir_second
state.volume1 = scaled_volume
state.volume2 = base_volume
state.entry1 = first_ctx.last_close
state.entry2 = second_ctx.last_close
state.is_open = True
# --- Utilities ----------------------------------------------------------
def _is_security_available(self, security):
for key, state in self._pairs.items():
if not state.is_open:
continue
if key.first == security or key.second == security:
return False
return True
def _get_open_pairs_count(self):
count = 0
for state in self._pairs.values():
if state.is_open:
count += 1
return count
def _is_spread_within_limit(self, ctx):
max_spread = self.MaxSpread
if max_spread <= 0.0:
return True
spread = ctx.get_spread_points()
if spread >= 1e308:
return True
return spread <= max_spread
# --- Determine hedge action ---------------------------------------------
def _determine_action(self, state, first_ctx, second_ctx):
range_length = self.RangeLength
high_main = first_ctx.get_high(range_length)
low_main = first_ctx.get_low(range_length)
if high_main <= low_main:
return HEDGE_NONE
if state.is_positive:
sub_high = second_ctx.get_high(range_length)
sub_low = second_ctx.get_low(range_length)
else:
sub_high = second_ctx.get_low(range_length)
sub_low = second_ctx.get_high(range_length)
if sub_high <= sub_low:
return HEDGE_NONE
main_center = (high_main + low_main) / 2.0
sub_center = (sub_high + sub_low) / 2.0
denominator = sub_high - sub_low
if denominator == 0.0:
return HEDGE_NONE
pips_ratio = (high_main - low_main) / denominator
if pips_ratio == 0.0:
return HEDGE_NONE
sub_close_offset = second_ctx.last_close - sub_center
synthetic_close = main_center + sub_close_offset * pips_ratio
step = first_ctx.security.PriceStep
if step is not None:
step = float(step)
else:
step = 0.0
if step <= 0.0:
step = 1.0
hedge_range = (first_ctx.last_close - synthetic_close) / step
overlay_threshold = self.OverlayThreshold
if hedge_range < -overlay_threshold:
return HEDGE_BUY_MAIN_SELL_SUB if state.is_positive else HEDGE_BUY_BOTH
if hedge_range > overlay_threshold:
return HEDGE_SELL_MAIN_BUY_SUB if state.is_positive else HEDGE_SELL_BOTH
return HEDGE_NONE
def _get_directions(self, action):
if action == HEDGE_BUY_MAIN_SELL_SUB:
return (1, -1)
elif action == HEDGE_SELL_MAIN_BUY_SUB:
return (-1, 1)
elif action == HEDGE_BUY_BOTH:
return (1, 1)
elif action == HEDGE_SELL_BOTH:
return (-1, -1)
return (0, 0)
# --- Order execution ----------------------------------------------------
def _trade_to_target(self, security, target_volume, tag):
if self.Portfolio is None:
return
pos_val = self.GetPositionValue(security, self.Portfolio)
current = float(pos_val) if pos_val is not None else 0.0
diff = target_volume - current
if abs(diff) < 1e-6:
return
order = Order()
order.Security = security
order.Portfolio = self.Portfolio
order.Volume = abs(diff)
order.Side = Sides.Buy if diff > 0 else Sides.Sell
order.Type = OrderTypes.Market
order.Comment = tag
self.RegisterOrder(order)
def _close_hedge(self, state, reason):
self._trade_to_target(state.first, 0.0, reason)
self._trade_to_target(state.second, 0.0, reason)
state.is_open = False
state.dir1 = 0
state.dir2 = 0
state.volume1 = 0.0
state.volume2 = 0.0
state.entry1 = 0.0
state.entry2 = 0.0
# --- P&L calculations ---------------------------------------------------
def _calculate_points(self, state):
first_ctx = self._contexts.get(state.first)
second_ctx = self._contexts.get(state.second)
if first_ctx is None or second_ctx is None:
return 0.0
step_first = first_ctx.security.PriceStep
step_first = float(step_first) if step_first is not None else 1.0
if step_first == 0.0:
step_first = 1.0
step_second = second_ctx.security.PriceStep
step_second = float(step_second) if step_second is not None else 1.0
if step_second == 0.0:
step_second = 1.0
move_first = state.dir1 * (first_ctx.last_close - state.entry1) / step_first * state.volume1
move_second = state.dir2 * (second_ctx.last_close - state.entry2) / step_second * state.volume2
return move_first + move_second
def _calculate_currency(self, state):
first_ctx = self._contexts.get(state.first)
second_ctx = self._contexts.get(state.second)
if first_ctx is None or second_ctx is None:
return 0.0
step_first = first_ctx.security.PriceStep
step_first = float(step_first) if step_first is not None else 1.0
if step_first == 0.0:
step_first = 1.0
step_second = second_ctx.security.PriceStep
step_second = float(step_second) if step_second is not None else 1.0
if step_second == 0.0:
step_second = 1.0
# Try to get the monetary value of one price step; fall back to the step itself.
price_step_first = step_first
price_step_second = step_second
try:
v = self.GetSecurityValue[object](first_ctx.security, Level1Fields.StepPrice)
if v is not None:
price_step_first = float(v)
except Exception:
pass
try:
v = self.GetSecurityValue[object](second_ctx.security, Level1Fields.StepPrice)
if v is not None:
price_step_second = float(v)
except Exception:
pass
pnl_first = state.dir1 * (first_ctx.last_close - state.entry1) / step_first * price_step_first * state.volume1
pnl_second = state.dir2 * (second_ctx.last_close - state.entry2) / step_second * price_step_second * state.volume2
return pnl_first + pnl_second
# --- Correlation --------------------------------------------------------
def _calculate_correlation(self, first_ctx, second_ctx):
lookback = self.CorrelationLookback
available = min(first_ctx.close_count, second_ctx.close_count)
if lookback <= 0 or lookback > available:
lookback = available
if lookback < 2:
return 0.0
xs = first_ctx.get_recent_closes(lookback)
ys = second_ctx.get_recent_closes(lookback)
sum_x = 0.0
sum_y = 0.0
sum_xy = 0.0
sum_x2 = 0.0
sum_y2 = 0.0
for x, y in zip(xs, ys):
sum_x += x
sum_y += y
sum_xy += x * y
sum_x2 += x * x
sum_y2 += y * y
numerator = lookback * sum_xy - sum_x * sum_y
denom_part1 = lookback * sum_x2 - sum_x * sum_x
denom_part2 = lookback * sum_y2 - sum_y * sum_y
if denom_part1 <= 0.0 or denom_part2 <= 0.0:
return 0.0
denominator = math.sqrt(denom_part1 * denom_part2)
if denominator == 0.0:
return 0.0
return numerator / denominator
# --- ATR ratio ----------------------------------------------------------
def _calculate_atr_ratio(self, first_ctx, second_ctx):
lookback = self.AtrLookback
available = min(first_ctx.true_range_count, second_ctx.true_range_count)
if lookback <= 0 or lookback > available:
lookback = available
if lookback <= 0:
return 0.0
atr_first = first_ctx.get_average_true_range(lookback)
atr_second = second_ctx.get_average_true_range(lookback)
if atr_first <= 0.0 or atr_second <= 0.0:
return 0.0
return atr_second / atr_first