货币动量因子策略
该策略按中期动量对货币进行排序,构建多空组合。动量最强的货币做多,最弱的做空,头寸等权分配。
动量基于日K线计算,并在每个月的第一个交易日进行再平衡。为减少噪音,低于最小美元阈值的订单将被忽略。
细节
- 投资范围:一组货币对或相关ETF。
- 信号:做多动量排名前
K的货币,做空排名后K的货币。 - 观察期:使用
Lookback根日K线计算收益(默认252)。 - 再平衡:每月一次。
- 仓位:多空对冲,美元中性。
- 参数:
Universe– 可交易的货币标的。Lookback– 动量计算所需K线数量。K– 多头和空头各包含的资产数。MinTradeUsd– 最小交易金额。CandleType– 使用的K线周期(默认1天)。
- 注意:示例代码未实现真实的动量计算,仅用于演示。
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>
/// Currency momentum factor strategy that trades the primary instrument when its relative momentum versus a benchmark currency is strong or weak.
/// </summary>
public class CurrencyMomentumFactorStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _lookback;
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 _latestPrimaryMomentum;
private decimal _latestBenchmarkMomentum;
private decimal? _previousZScore;
private bool _primaryUpdated;
private bool _benchmarkUpdated;
private int _cooldownRemaining;
/// <summary>
/// Benchmark currency identifier.
/// </summary>
public string Security2Id
{
get => _security2Id.Value;
set => _security2Id.Value = value;
}
/// <summary>
/// Momentum lookback period.
/// </summary>
public int Lookback
{
get => _lookback.Value;
set => _lookback.Value = value;
}
/// <summary>
/// Lookback period used to normalize the relative 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>
/// Constructor.
/// </summary>
public CurrencyMomentumFactorStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark currency security", "General");
_lookback = Param(nameof(Lookback), 40)
.SetRange(5, 200)
.SetDisplay("Lookback", "Momentum lookback period", "Indicators");
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetRange(5, 120)
.SetDisplay("Lookback Period", "Lookback period used to normalize the relative 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), 0.25m)
.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), 2.5m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe 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!;
_spreadAverage = null!;
_spreadDeviation = null!;
_latestPrimaryMomentum = 0m;
_latestBenchmarkMomentum = 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 currency security is not specified.");
if (Security2Id.IsEmpty())
throw new InvalidOperationException("Benchmark currency identifier is not specified.");
_benchmark = this.LookupById(Security2Id) ?? new Security { Id = Security2Id };
_primaryMomentum = new RateOfChange { Length = Lookback };
_benchmarkMomentum = new RateOfChange { Length = Lookback };
_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)
{
_latestPrimaryMomentum = momentumValue.ToDecimal();
_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)
{
_latestBenchmarkMomentum = momentumValue.ToDecimal();
_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 = _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 currency_momentum_factor_strategy(Strategy):
"""Currency momentum factor strategy that trades the primary instrument when its relative momentum versus a benchmark currency is strong or weak."""
def __init__(self):
super(currency_momentum_factor_strategy, self).__init__()
self._security2_id = self.Param("Security2Id", "TONUSDT@BNBFT") \
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark currency security", "General")
self._lookback = self.Param("Lookback", 40) \
.SetRange(5, 200) \
.SetDisplay("Lookback", "Momentum lookback period", "Indicators")
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetRange(5, 120) \
.SetDisplay("Lookback Period", "Lookback period used to normalize the relative 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", 0.25) \
.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", 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", "Timeframe for candles", "General")
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = 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(currency_momentum_factor_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_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(currency_momentum_factor_strategy, self).OnStarted2(time)
sec2_id = str(self._security2_id.Value)
if not sec2_id:
raise Exception("Benchmark currency identifier is not specified.")
s = Security()
s.Id = sec2_id
self._benchmark = s
lookback = int(self._lookback.Value)
lookback_period = int(self._lookback_period.Value)
self._primary_momentum = RateOfChange()
self._primary_momentum.Length = lookback
self._benchmark_momentum = RateOfChange()
self._benchmark_momentum.Length = lookback
self._spread_average = SimpleMovingAverage()
self._spread_average.Length = lookback_period
self._spread_deviation = StandardDeviation()
self._spread_deviation.Length = lookback_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
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_momentum = float(momentum_value)
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_momentum = float(momentum_value)
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 currency_momentum_factor_strategy()