Стратегия моментума ESG‑факторов
Эта стратегия выбирает бумаги с высокими показателями по экологическим, социальным и управленческим критериям. В начале каждого месяца она ранжирует все тикеры по доходности за период наблюдения и держит только лидера. Предполагается, что активы, привлекающие ESG‑капитал, сохраняют импульс. Сделки совершаются только если их объём превышает минимальный порог.
При ребалансировке существующая позиция закрывается и капитал переводится в бумагу с наибольшим моментумом. Портфель не использует кредитное плечо и короткие позиции; всегда открыт только один актив.
Детали
- Условия входа:
- В первый торговый день месяца вычислить доходность за
LookbackDaysдля каждого актива. - Купить инструмент с наибольшей доходностью, если размер сделки не меньше
MinTradeUsd.
- В первый торговый день месяца вычислить доходность за
- Длинные/короткие: Только длинные.
- Условия выхода: Все позиции закрываются при ежемесячной ребалансировке перед открытием новой.
- Стопы: Нет.
- Параметры по умолчанию:
Universe– список ESG‑ориентированных тикеров.LookbackDays= 252.CandleType= 1 день.MinTradeUsd– минимальный объём сделки.
- Фильтры:
- Категория: Моментум.
- Направление: Только лонг.
- Таймфрейм: Среднесрочный.
- Ребалансировка: Ежемесячно.
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Configuration;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// ESG factor momentum strategy that trades the primary instrument when its ESG-adjusted momentum is stronger or weaker than a benchmark.
/// </summary>
public class EsgFactorMomentumStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _momentumLength;
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _entryThreshold;
private readonly StrategyParam<decimal> _exitThreshold;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<DataType> _candleType;
private Security _benchmark = null!;
private RateOfChange _primaryMomentum = null!;
private RateOfChange _benchmarkMomentum = null!;
private SimpleMovingAverage _spreadAverage = null!;
private StandardDeviation _spreadDeviation = null!;
private decimal _latestPrimaryScore;
private decimal _latestBenchmarkScore;
private decimal? _previousZScore;
private bool _primaryUpdated;
private bool _benchmarkUpdated;
private int _cooldownRemaining;
/// <summary>
/// Benchmark security identifier.
/// </summary>
public string Security2Id
{
get => _security2Id.Value;
set => _security2Id.Value = value;
}
/// <summary>
/// Momentum lookback period.
/// </summary>
public int MomentumLength
{
get => _momentumLength.Value;
set => _momentumLength.Value = value;
}
/// <summary>
/// Lookback period used to normalize the ESG momentum spread.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Z-score threshold required to open a position.
/// </summary>
public decimal EntryThreshold
{
get => _entryThreshold.Value;
set => _entryThreshold.Value = value;
}
/// <summary>
/// Z-score threshold required to close a position.
/// </summary>
public decimal ExitThreshold
{
get => _exitThreshold.Value;
set => _exitThreshold.Value = value;
}
/// <summary>
/// Closed candles to wait before another position change.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLoss
{
get => _stopLoss.Value;
set => _stopLoss.Value = value;
}
/// <summary>
/// Candle type used for price data.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="EsgFactorMomentumStrategy"/>.
/// </summary>
public EsgFactorMomentumStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General");
_momentumLength = Param(nameof(MomentumLength), 40)
.SetRange(5, 200)
.SetDisplay("Momentum Length", "Momentum lookback period", "Indicators");
_lookbackPeriod = Param(nameof(LookbackPeriod), 24)
.SetRange(5, 120)
.SetDisplay("Lookback Period", "Lookback period used to normalize the ESG momentum spread", "Indicators");
_entryThreshold = Param(nameof(EntryThreshold), 1.2m)
.SetRange(0.2m, 5m)
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals");
_exitThreshold = Param(nameof(ExitThreshold), 0.3m)
.SetRange(0m, 2m)
.SetDisplay("Exit Threshold", "Z-score threshold required to close a position", "Signals");
_cooldownBars = Param(nameof(CooldownBars), 8)
.SetRange(0, 120)
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Risk");
_stopLoss = Param(nameof(StopLoss), 2.5m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle TF", "Time-frame", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
if (!Security2Id.IsEmpty())
yield return (new Security { Id = Security2Id }, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_benchmark = null!;
_primaryMomentum = null!;
_benchmarkMomentum = null!;
_spreadAverage = null!;
_spreadDeviation = null!;
_latestPrimaryScore = 0m;
_latestBenchmarkScore = 0m;
_previousZScore = null;
_primaryUpdated = false;
_benchmarkUpdated = false;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Primary security is not specified.");
if (Security2Id.IsEmpty())
throw new InvalidOperationException("Benchmark security identifier is not specified.");
_benchmark = this.LookupById(Security2Id) ?? new Security { Id = Security2Id };
_primaryMomentum = new RateOfChange { Length = MomentumLength };
_benchmarkMomentum = new RateOfChange { Length = MomentumLength };
_spreadAverage = new SimpleMovingAverage { Length = LookbackPeriod };
_spreadDeviation = new StandardDeviation { Length = LookbackPeriod };
var primarySubscription = SubscribeCandles(CandleType, security: Security);
var benchmarkSubscription = SubscribeCandles(CandleType, security: _benchmark);
primarySubscription
.Bind(ProcessPrimaryCandle)
.Start();
benchmarkSubscription
.Bind(ProcessBenchmarkCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, primarySubscription);
DrawCandles(area, benchmarkSubscription);
DrawOwnTrades(area);
}
StartProtection(
new Unit(2, UnitTypes.Percent),
new Unit(StopLoss, UnitTypes.Percent));
}
private void ProcessPrimaryCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var momentumValue = _primaryMomentum.Process(candle);
if (!momentumValue.IsEmpty && _primaryMomentum.IsFormed)
{
_latestPrimaryScore = momentumValue.ToDecimal() + CalculateEsgBias(candle);
_primaryUpdated = true;
TryProcessSpread(candle.OpenTime);
}
}
private void ProcessBenchmarkCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var momentumValue = _benchmarkMomentum.Process(candle);
if (!momentumValue.IsEmpty && _benchmarkMomentum.IsFormed)
{
_latestBenchmarkScore = momentumValue.ToDecimal() + CalculateEsgBias(candle);
_benchmarkUpdated = true;
TryProcessSpread(candle.OpenTime);
}
}
private decimal CalculateEsgBias(ICandleMessage candle)
{
var priceBase = Math.Max(candle.OpenPrice, 1m);
var range = Math.Max(candle.HighPrice - candle.LowPrice, Security?.PriceStep ?? 1m);
var stability = 1m - Math.Min(0.2m, range / priceBase);
var bodyBias = (candle.ClosePrice - candle.OpenPrice) / priceBase;
return (stability * 5m) + (bodyBias * 100m);
}
private void TryProcessSpread(DateTime time)
{
if (!_primaryUpdated || !_benchmarkUpdated)
return;
_primaryUpdated = false;
_benchmarkUpdated = false;
var spread = _latestPrimaryScore - _latestBenchmarkScore;
var mean = _spreadAverage.Process(spread, time, true).ToDecimal();
var deviation = _spreadDeviation.Process(spread, time, true).ToDecimal();
if (!_spreadAverage.IsFormed || !_spreadDeviation.IsFormed || deviation <= 0m)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var zScore = (spread - mean) / deviation;
var bullishEntry = _previousZScore is decimal previousBullish && previousBullish < EntryThreshold && zScore >= EntryThreshold;
var bearishEntry = _previousZScore is decimal previousBearish && previousBearish > -EntryThreshold && zScore <= -EntryThreshold;
if (_cooldownRemaining == 0 && Position == 0)
{
if (bullishEntry)
{
BuyMarket();
_cooldownRemaining = CooldownBars;
}
else if (bearishEntry)
{
SellMarket();
_cooldownRemaining = CooldownBars;
}
}
else if (Position > 0 && zScore <= ExitThreshold)
{
SellMarket(Position);
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && zScore >= -ExitThreshold)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_previousZScore = zScore;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import RateOfChange, SimpleMovingAverage, StandardDeviation, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security
from indicator_extensions import *
class esg_factor_momentum_strategy(Strategy):
"""ESG factor momentum strategy that trades the primary instrument when its ESG-adjusted momentum is stronger or weaker than a benchmark."""
def __init__(self):
super(esg_factor_momentum_strategy, self).__init__()
self._security2_id = self.Param("Security2Id", "TONUSDT@BNBFT") \
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General")
self._momentum_length = self.Param("MomentumLength", 40) \
.SetRange(5, 200) \
.SetDisplay("Momentum Length", "Momentum lookback period", "Indicators")
self._lookback_period = self.Param("LookbackPeriod", 24) \
.SetRange(5, 120) \
.SetDisplay("Lookback Period", "Lookback period used to normalize the ESG momentum spread", "Indicators")
self._entry_threshold = self.Param("EntryThreshold", 1.2) \
.SetRange(0.2, 5.0) \
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals")
self._exit_threshold = self.Param("ExitThreshold", 0.3) \
.SetRange(0.0, 2.0) \
.SetDisplay("Exit Threshold", "Z-score threshold required to close a position", "Signals")
self._cooldown_bars = self.Param("CooldownBars", 8) \
.SetRange(0, 120) \
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Risk")
self._stop_loss = self.Param("StopLoss", 2.5) \
.SetRange(0.5, 10.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle TF", "Time-frame", "General")
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_score = 0.0
self._latest_benchmark_score = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
result = []
if self.Security is not None:
result.append((self.Security, self.candle_type))
sec2_id = str(self._security2_id.Value)
if sec2_id:
s = Security()
s.Id = sec2_id
result.append((s, self.candle_type))
return result
def OnReseted(self):
super(esg_factor_momentum_strategy, self).OnReseted()
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_score = 0.0
self._latest_benchmark_score = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(esg_factor_momentum_strategy, self).OnStarted2(time)
sec2_id = str(self._security2_id.Value)
if not sec2_id:
raise Exception("Benchmark security identifier is not specified.")
s = Security()
s.Id = sec2_id
self._benchmark = s
mom_len = int(self._momentum_length.Value)
lookback = int(self._lookback_period.Value)
self._primary_momentum = RateOfChange()
self._primary_momentum.Length = mom_len
self._benchmark_momentum = RateOfChange()
self._benchmark_momentum.Length = mom_len
self._spread_average = SimpleMovingAverage()
self._spread_average.Length = lookback
self._spread_deviation = StandardDeviation()
self._spread_deviation.Length = lookback
primary_subscription = self.SubscribeCandles(self.candle_type, True, self.Security)
benchmark_subscription = self.SubscribeCandles(self.candle_type, True, self._benchmark)
primary_subscription.Bind(self.ProcessPrimaryCandle).Start()
benchmark_subscription.Bind(self.ProcessBenchmarkCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, primary_subscription)
self.DrawCandles(area, benchmark_subscription)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(float(self._stop_loss.Value), UnitTypes.Percent)
)
def ProcessPrimaryCandle(self, candle):
if candle.State != CandleStates.Finished:
return
civ = CandleIndicatorValue(self._primary_momentum, candle)
civ.IsFinal = True
momentum_value = self._primary_momentum.Process(civ)
if not momentum_value.IsEmpty and self._primary_momentum.IsFormed:
self._latest_primary_score = float(momentum_value) + self.CalculateEsgBias(candle)
self._primary_updated = True
self.TryProcessSpread(candle.OpenTime)
def ProcessBenchmarkCandle(self, candle):
if candle.State != CandleStates.Finished:
return
civ = CandleIndicatorValue(self._benchmark_momentum, candle)
civ.IsFinal = True
momentum_value = self._benchmark_momentum.Process(civ)
if not momentum_value.IsEmpty and self._benchmark_momentum.IsFormed:
self._latest_benchmark_score = float(momentum_value) + self.CalculateEsgBias(candle)
self._benchmark_updated = True
self.TryProcessSpread(candle.OpenTime)
def CalculateEsgBias(self, candle):
price_base = max(float(candle.OpenPrice), 1.0)
price_step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
range_val = max(float(candle.HighPrice) - float(candle.LowPrice), price_step)
stability = 1.0 - min(0.2, range_val / price_base)
body_bias = (float(candle.ClosePrice) - float(candle.OpenPrice)) / price_base
return (stability * 5.0) + (body_bias * 100.0)
def TryProcessSpread(self, time):
if not self._primary_updated or not self._benchmark_updated:
return
self._primary_updated = False
self._benchmark_updated = False
spread = self._latest_primary_score - self._latest_benchmark_score
mean_result = process_float(self._spread_average, spread, time, True)
mean = float(mean_result)
dev_result = process_float(self._spread_deviation, spread, time, True)
deviation = float(dev_result)
if not self._spread_average.IsFormed or not self._spread_deviation.IsFormed or deviation <= 0:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
z_score = (spread - mean) / deviation
entry_thresh = float(self._entry_threshold.Value)
exit_thresh = float(self._exit_threshold.Value)
cooldown = int(self._cooldown_bars.Value)
bullish_entry = self._previous_z_score is not None and self._previous_z_score < entry_thresh and z_score >= entry_thresh
bearish_entry = self._previous_z_score is not None and self._previous_z_score > -entry_thresh and z_score <= -entry_thresh
if self._cooldown_remaining == 0 and self.Position == 0:
if bullish_entry:
self.BuyMarket()
self._cooldown_remaining = cooldown
elif bearish_entry:
self.SellMarket()
self._cooldown_remaining = cooldown
elif self.Position > 0 and z_score <= exit_thresh:
self.SellMarket(self.Position)
self._cooldown_remaining = cooldown
elif self.Position < 0 and z_score >= -exit_thresh:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._previous_z_score = z_score
def CreateClone(self):
return esg_factor_momentum_strategy()