残余动量因子
残余动量因子 策略根据外部残余动量评分对证券排序。 每月第一个交易日做多最高分的十分位并做空最低分的十分位。
细节
- 入场条件:外部残余动量数据。
- 多空方向:双向。
- 出场条件:每月再平衡。
- 止损:无。
- 默认值:
Decile = 10MinTradeUsd = 200CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- 筛选:
- 分类:基本面
- 方向:双向
- 指标:基本面
- 止损:无
- 复杂度:中等
- 时间框架:日线
- 季节性:是
- 神经网络:否
- 背离:否
- 风险级别:中等
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>
/// Residual momentum factor strategy that trades the primary instrument when its benchmark-adjusted momentum diverges from the market proxy.
/// </summary>
public class ResidualMomentumFactorStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<int> _betaLength;
private readonly StrategyParam<int> _normalizationPeriod;
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 ExponentialMovingAverage _betaAverage = null!;
private SimpleMovingAverage _spreadAverage = null!;
private StandardDeviation _spreadDeviation = null!;
private decimal? _previousPrimaryClose;
private decimal? _previousBenchmarkClose;
private decimal _latestPrimaryMomentum;
private decimal _latestBenchmarkMomentum;
private decimal _latestBeta;
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 MomentumPeriod
{
get => _momentumPeriod.Value;
set => _momentumPeriod.Value = value;
}
/// <summary>
/// Smoothing length used for the rolling beta proxy.
/// </summary>
public int BetaLength
{
get => _betaLength.Value;
set => _betaLength.Value = value;
}
/// <summary>
/// Lookback period used to normalize residual momentum.
/// </summary>
public int NormalizationPeriod
{
get => _normalizationPeriod.Value;
set => _normalizationPeriod.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 calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ResidualMomentumFactorStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General");
_momentumPeriod = Param(nameof(MomentumPeriod), 32)
.SetRange(5, 200)
.SetDisplay("Momentum Period", "Momentum lookback period", "Indicators");
_betaLength = Param(nameof(BetaLength), 8)
.SetRange(2, 80)
.SetDisplay("Beta Length", "Smoothing length used for the rolling beta proxy", "Indicators");
_normalizationPeriod = Param(nameof(NormalizationPeriod), 24)
.SetRange(5, 120)
.SetDisplay("Normalization Period", "Lookback period used to normalize residual momentum", "Indicators");
_entryThreshold = Param(nameof(EntryThreshold), 1.1m)
.SetRange(0.2m, 5m)
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals");
_exitThreshold = Param(nameof(ExitThreshold), 0.25m)
.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), 3m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Time frame for candles", "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!;
_betaAverage = null!;
_spreadAverage = null!;
_spreadDeviation = null!;
_previousPrimaryClose = null;
_previousBenchmarkClose = null;
_latestPrimaryMomentum = 0m;
_latestBenchmarkMomentum = 0m;
_latestBeta = 1m;
_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 = MomentumPeriod };
_benchmarkMomentum = new RateOfChange { Length = MomentumPeriod };
_betaAverage = new ExponentialMovingAverage { Length = BetaLength };
_spreadAverage = new SimpleMovingAverage { Length = NormalizationPeriod };
_spreadDeviation = new StandardDeviation { Length = NormalizationPeriod };
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)
return;
latestBetaFromReturns(candle.ClosePrice, true);
_latestPrimaryMomentum = momentumValue.ToDecimal();
_primaryUpdated = true;
TryProcessResidualMomentum(candle.OpenTime);
}
private void ProcessBenchmarkCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var momentumValue = _benchmarkMomentum.Process(candle);
if (momentumValue.IsEmpty || !_benchmarkMomentum.IsFormed)
return;
latestBetaFromReturns(candle.ClosePrice, false);
_latestBenchmarkMomentum = momentumValue.ToDecimal();
_benchmarkUpdated = true;
TryProcessResidualMomentum(candle.OpenTime);
}
private void latestBetaFromReturns(decimal closePrice, bool isPrimary)
{
ref var previousClose = ref isPrimary ? ref _previousPrimaryClose : ref _previousBenchmarkClose;
if (previousClose is not decimal previous || previous <= 0m)
{
previousClose = closePrice;
return;
}
var ret = (closePrice - previous) / previous;
previousClose = closePrice;
if (isPrimary)
_latestPrimaryMomentum = ret;
else
_latestBeta = _betaAverage.Process(ret.Abs(), CurrentTime, true).ToDecimal();
}
private void TryProcessResidualMomentum(DateTime time)
{
if (!_primaryUpdated || !_benchmarkUpdated)
return;
_primaryUpdated = false;
_benchmarkUpdated = false;
var betaAdjustedBenchmark = _latestBenchmarkMomentum * Math.Max(_latestBeta, 0.2m);
var residualMomentum = _latestPrimaryMomentum - betaAdjustedBenchmark;
var mean = _spreadAverage.Process(residualMomentum, time, true).ToDecimal();
var deviation = _spreadDeviation.Process(residualMomentum, time, true).ToDecimal();
if (!_spreadAverage.IsFormed || !_spreadDeviation.IsFormed || deviation <= 0m)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var zScore = (residualMomentum - 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, ExponentialMovingAverage, SimpleMovingAverage, StandardDeviation, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security
from indicator_extensions import *
class residual_momentum_factor_strategy(Strategy):
"""Residual momentum factor strategy that trades the primary instrument when its benchmark-adjusted momentum diverges from the market proxy."""
def __init__(self):
super(residual_momentum_factor_strategy, self).__init__()
self._security2_id = self.Param("Security2Id", "TONUSDT@BNBFT") \
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General")
self._momentum_period = self.Param("MomentumPeriod", 32) \
.SetRange(5, 200) \
.SetDisplay("Momentum Period", "Momentum lookback period", "Indicators")
self._beta_length = self.Param("BetaLength", 8) \
.SetRange(2, 80) \
.SetDisplay("Beta Length", "Smoothing length used for the rolling beta proxy", "Indicators")
self._normalization_period = self.Param("NormalizationPeriod", 24) \
.SetRange(5, 120) \
.SetDisplay("Normalization Period", "Lookback period used to normalize residual momentum", "Indicators")
self._entry_threshold = self.Param("EntryThreshold", 1.1) \
.SetRange(0.2, 5.0) \
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals")
self._exit_threshold = self.Param("ExitThreshold", 0.25) \
.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", 3.0) \
.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 Type", "Time frame for candles", "General")
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._beta_average = None
self._spread_average = None
self._spread_deviation = None
self._previous_primary_close = None
self._previous_benchmark_close = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 0.0
self._latest_beta = 1.0
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(residual_momentum_factor_strategy, self).OnReseted()
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._beta_average = None
self._spread_average = None
self._spread_deviation = None
self._previous_primary_close = None
self._previous_benchmark_close = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 0.0
self._latest_beta = 1.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(residual_momentum_factor_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_period = int(self._momentum_period.Value)
beta_len = int(self._beta_length.Value)
norm_period = int(self._normalization_period.Value)
self._primary_momentum = RateOfChange()
self._primary_momentum.Length = mom_period
self._benchmark_momentum = RateOfChange()
self._benchmark_momentum.Length = mom_period
self._beta_average = ExponentialMovingAverage()
self._beta_average.Length = beta_len
self._spread_average = SimpleMovingAverage()
self._spread_average.Length = norm_period
self._spread_deviation = StandardDeviation()
self._spread_deviation.Length = norm_period
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
mom_iv = CandleIndicatorValue(self._primary_momentum, candle)
mom_iv.IsFinal = True
mom_result = self._primary_momentum.Process(mom_iv)
if mom_result.IsEmpty or not self._primary_momentum.IsFormed:
return
# Update previous close (primary side of latestBetaFromReturns)
close_price = float(candle.ClosePrice)
if self._previous_primary_close is None or self._previous_primary_close <= 0:
self._previous_primary_close = close_price
else:
self._previous_primary_close = close_price
# ROC value overwrites any return set by latestBetaFromReturns
self._latest_primary_momentum = float(mom_result)
self._primary_updated = True
self.TryProcessResidualMomentum(candle.OpenTime)
def ProcessBenchmarkCandle(self, candle):
if candle.State != CandleStates.Finished:
return
mom_iv = CandleIndicatorValue(self._benchmark_momentum, candle)
mom_iv.IsFinal = True
mom_result = self._benchmark_momentum.Process(mom_iv)
if mom_result.IsEmpty or not self._benchmark_momentum.IsFormed:
return
# Update beta from benchmark returns
close_price = float(candle.ClosePrice)
if self._previous_benchmark_close is not None and self._previous_benchmark_close > 0:
ret = (close_price - self._previous_benchmark_close) / self._previous_benchmark_close
self._previous_benchmark_close = close_price
abs_ret = abs(ret)
self._latest_beta = float(process_float(self._beta_average, abs_ret, candle.OpenTime, True))
else:
self._previous_benchmark_close = close_price
self._latest_benchmark_momentum = float(mom_result)
self._benchmark_updated = True
self.TryProcessResidualMomentum(candle.OpenTime)
def TryProcessResidualMomentum(self, time):
if not self._primary_updated or not self._benchmark_updated:
return
self._primary_updated = False
self._benchmark_updated = False
beta_adjusted_benchmark = self._latest_benchmark_momentum * max(self._latest_beta, 0.2)
residual_momentum = self._latest_primary_momentum - beta_adjusted_benchmark
mean = float(process_float(self._spread_average, residual_momentum, time, True))
deviation = float(process_float(self._spread_deviation, residual_momentum, time, True))
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 = (residual_momentum - 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 residual_momentum_factor_strategy()