Commodity Momentum
Commodity Momentum 策略做多具有最强 12 个月动量(跳过最近一个月)的商品。 在每月第一个交易日进行再平衡。
测试显示年均收益约为 10%,在多元化的商品市场上表现最佳。
仓位每月调整一次,不使用日内信号。
详情
- 入场条件:按 12 个月动量(除去最近一个月)排序买入前
TopN名商品。 - 多空方向:仅做多。
- 退出条件:在下一次计划的再平衡中调整。
- 止损:无明确止损逻辑。
- 默认值:
TopN = 5MinTradeUsd = 200CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- 过滤器:
- 分类: 动量
- 方向: 做多
- 指标: 价格
- 止损: 否
- 复杂度: 中等
- 时间框架: 日线
- 季节性: 是
- 神经网络: 否
- 背离: 否
- 风险等级: 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>
/// Relative commodity momentum strategy that trades the primary instrument against a benchmark using long-horizon momentum excluding recent mean reversion.
/// </summary>
public class CommodityMomentumStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _longMomentumLength;
private readonly StrategyParam<int> _shortMomentumLength;
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 _primaryLongMomentum = null!;
private RateOfChange _primaryShortMomentum = null!;
private RateOfChange _benchmarkLongMomentum = null!;
private RateOfChange _benchmarkShortMomentum = null!;
private SimpleMovingAverage _spreadAverage = null!;
private StandardDeviation _spreadDeviation = null!;
private decimal _latestPrimaryMomentum;
private decimal _latestBenchmarkMomentum;
private decimal? _previousSpreadZScore;
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>
/// Long-horizon momentum length.
/// </summary>
public int LongMomentumLength
{
get => _longMomentumLength.Value;
set => _longMomentumLength.Value = value;
}
/// <summary>
/// Short-horizon momentum length that is subtracted from the long-horizon signal.
/// </summary>
public int ShortMomentumLength
{
get => _shortMomentumLength.Value;
set => _shortMomentumLength.Value = value;
}
/// <summary>
/// Lookback period used to normalize 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 both instruments.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public CommodityMomentumStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General");
_longMomentumLength = Param(nameof(LongMomentumLength), 60)
.SetRange(20, 200)
.SetDisplay("Long Momentum Length", "Long-horizon momentum length", "Indicators");
_shortMomentumLength = Param(nameof(ShortMomentumLength), 10)
.SetRange(2, 50)
.SetDisplay("Short Momentum Length", "Short-horizon momentum length that is subtracted from the long signal", "Indicators");
_lookbackPeriod = Param(nameof(LookbackPeriod), 24)
.SetRange(10, 150)
.SetDisplay("Lookback Period", "Lookback period used to normalize momentum spread", "Indicators");
_entryThreshold = Param(nameof(EntryThreshold), 1.25m)
.SetRange(0.4m, 4m)
.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), 10)
.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 Type", "Candle series for both instruments", "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!;
_primaryLongMomentum = null!;
_primaryShortMomentum = null!;
_benchmarkLongMomentum = null!;
_benchmarkShortMomentum = null!;
_spreadAverage = null!;
_spreadDeviation = null!;
_latestPrimaryMomentum = 0m;
_latestBenchmarkMomentum = 0m;
_previousSpreadZScore = 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 };
_primaryLongMomentum = new RateOfChange { Length = LongMomentumLength };
_primaryShortMomentum = new RateOfChange { Length = ShortMomentumLength };
_benchmarkLongMomentum = new RateOfChange { Length = LongMomentumLength };
_benchmarkShortMomentum = new RateOfChange { Length = ShortMomentumLength };
_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 longMomentumValue = _primaryLongMomentum.Process(candle);
var shortMomentumValue = _primaryShortMomentum.Process(candle);
if (!longMomentumValue.IsEmpty && !shortMomentumValue.IsEmpty && _primaryLongMomentum.IsFormed && _primaryShortMomentum.IsFormed)
{
var longMomentum = longMomentumValue.ToDecimal();
var shortMomentum = shortMomentumValue.ToDecimal();
_latestPrimaryMomentum = longMomentum - shortMomentum;
_primaryUpdated = true;
TryProcessSpread(candle.OpenTime);
}
}
private void ProcessBenchmarkCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var longMomentumValue = _benchmarkLongMomentum.Process(candle);
var shortMomentumValue = _benchmarkShortMomentum.Process(candle);
if (!longMomentumValue.IsEmpty && !shortMomentumValue.IsEmpty && _benchmarkLongMomentum.IsFormed && _benchmarkShortMomentum.IsFormed)
{
var longMomentum = longMomentumValue.ToDecimal();
var shortMomentum = shortMomentumValue.ToDecimal();
_latestBenchmarkMomentum = longMomentum - shortMomentum;
_benchmarkUpdated = true;
TryProcessSpread(candle.OpenTime);
}
}
private void TryProcessSpread(DateTime time)
{
if (!_primaryUpdated || !_benchmarkUpdated)
return;
_primaryUpdated = false;
_benchmarkUpdated = false;
var spread = _latestPrimaryMomentum - _latestBenchmarkMomentum;
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 = _previousSpreadZScore is decimal previousBullish && previousBullish < EntryThreshold && zScore >= EntryThreshold;
var bearishEntry = _previousSpreadZScore 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;
}
_previousSpreadZScore = 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 commodity_momentum_strategy(Strategy):
"""Relative commodity momentum strategy using dual securities."""
def __init__(self):
super(commodity_momentum_strategy, self).__init__()
self._security2_id = self.Param("Security2Id", "TONUSDT@BNBFT") \
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General")
self._long_momentum_length = self.Param("LongMomentumLength", 60) \
.SetRange(20, 200) \
.SetDisplay("Long Momentum Length", "Long-horizon momentum length", "Indicators")
self._short_momentum_length = self.Param("ShortMomentumLength", 10) \
.SetRange(2, 50) \
.SetDisplay("Short Momentum Length", "Short-horizon momentum length subtracted from long signal", "Indicators")
self._lookback_period = self.Param("LookbackPeriod", 24) \
.SetRange(10, 150) \
.SetDisplay("Lookback Period", "Lookback period used to normalize momentum spread", "Indicators")
self._entry_threshold = self.Param("EntryThreshold", 1.25) \
.SetRange(0.4, 4.0) \
.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", 10) \
.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 Type", "Candle series for both instruments", "General")
self._benchmark = None
self._primary_long_mom = None
self._primary_short_mom = None
self._benchmark_long_mom = None
self._benchmark_short_mom = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 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(commodity_momentum_strategy, self).OnReseted()
self._benchmark = None
self._primary_long_mom = None
self._primary_short_mom = None
self._benchmark_long_mom = None
self._benchmark_short_mom = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(commodity_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
long_len = int(self._long_momentum_length.Value)
short_len = int(self._short_momentum_length.Value)
lookback = int(self._lookback_period.Value)
self._primary_long_mom = RateOfChange()
self._primary_long_mom.Length = long_len
self._primary_short_mom = RateOfChange()
self._primary_short_mom.Length = short_len
self._benchmark_long_mom = RateOfChange()
self._benchmark_long_mom.Length = long_len
self._benchmark_short_mom = RateOfChange()
self._benchmark_short_mom.Length = short_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_long = CandleIndicatorValue(self._primary_long_mom, candle)
civ_long.IsFinal = True
long_result = self._primary_long_mom.Process(civ_long)
civ_short = CandleIndicatorValue(self._primary_short_mom, candle)
civ_short.IsFinal = True
short_result = self._primary_short_mom.Process(civ_short)
if not long_result.IsEmpty and not short_result.IsEmpty and self._primary_long_mom.IsFormed and self._primary_short_mom.IsFormed:
long_mom = float(long_result)
short_mom = float(short_result)
self._latest_primary_momentum = long_mom - short_mom
self._primary_updated = True
self.TryProcessSpread(candle.OpenTime)
def ProcessBenchmarkCandle(self, candle):
if candle.State != CandleStates.Finished:
return
civ_long = CandleIndicatorValue(self._benchmark_long_mom, candle)
civ_long.IsFinal = True
long_result = self._benchmark_long_mom.Process(civ_long)
civ_short = CandleIndicatorValue(self._benchmark_short_mom, candle)
civ_short.IsFinal = True
short_result = self._benchmark_short_mom.Process(civ_short)
if not long_result.IsEmpty and not short_result.IsEmpty and self._benchmark_long_mom.IsFormed and self._benchmark_short_mom.IsFormed:
long_mom = float(long_result)
short_mom = float(short_result)
self._latest_benchmark_momentum = long_mom - short_mom
self._benchmark_updated = True
self.TryProcessSpread(candle.OpenTime)
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_momentum - self._latest_benchmark_momentum
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 commodity_momentum_strategy()