Моментум взаимных фондов
Стратегия ежеквартально переключается между набором взаимных фондов. В конце каждого квартала фонды сортируются по доходности за последние шесть месяцев. Капитал полностью переводится в лидирующий фонд на следующий квартал, позволяя следовать устойчивому импульсу в управляемых продуктах.
В каждый момент держится только один фонд. Используются дневные цены; ребалансировка происходит в первые три торговые дня января, апреля, июля и октября.
Детали
- Вселенная: список взаимных фондов.
- Сигнал: доходность за 126 дней.
- Ребалансировка: ежеквартально в начале квартала.
- Позиционирование: полностью в фонде с лучшей доходностью.
- Контроль риска: сделка пропускается, если сумма меньше
MinTradeUsd.
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>
/// Mutual fund momentum strategy that trades the primary instrument when its medium-term momentum leadership diverges from a benchmark fund.
/// </summary>
public class MutualFundMomentumStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<int> _trendPeriod;
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 _primaryTrend = null!;
private SimpleMovingAverage _spreadAverage = null!;
private StandardDeviation _spreadDeviation = null!;
private decimal _latestPrimaryMomentum;
private decimal _latestBenchmarkMomentum;
private decimal _latestPrimaryTrend;
private decimal? _previousZScore;
private bool _primaryUpdated;
private bool _benchmarkUpdated;
private int _cooldownRemaining;
/// <summary>
/// Benchmark fund 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>
/// Trend period used to align entries with the primary fund direction.
/// </summary>
public int TrendPeriod
{
get => _trendPeriod.Value;
set => _trendPeriod.Value = value;
}
/// <summary>
/// Lookback period used to normalize the momentum leadership spread.
/// </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 MutualFundMomentumStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark fund", "General");
_momentumPeriod = Param(nameof(MomentumPeriod), 32)
.SetRange(5, 200)
.SetDisplay("Momentum Period", "Momentum lookback period", "Indicators");
_trendPeriod = Param(nameof(TrendPeriod), 20)
.SetRange(5, 200)
.SetDisplay("Trend Period", "Trend period used to align entries with the primary fund direction", "Indicators");
_normalizationPeriod = Param(nameof(NormalizationPeriod), 24)
.SetRange(5, 120)
.SetDisplay("Normalization Period", "Lookback period used to normalize the momentum leadership spread", "Indicators");
_entryThreshold = Param(nameof(EntryThreshold), 1m)
.SetRange(0.2m, 5m)
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals");
_exitThreshold = Param(nameof(ExitThreshold), 0.2m)
.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), 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!;
_primaryTrend = null!;
_spreadAverage = null!;
_spreadDeviation = null!;
_latestPrimaryMomentum = 0m;
_latestBenchmarkMomentum = 0m;
_latestPrimaryTrend = 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 = MomentumPeriod };
_benchmarkMomentum = new RateOfChange { Length = MomentumPeriod };
_primaryTrend = new ExponentialMovingAverage { Length = TrendPeriod };
_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);
var trendValue = _primaryTrend.Process(candle);
if (momentumValue.IsEmpty || trendValue.IsEmpty || !_primaryMomentum.IsFormed || !_primaryTrend.IsFormed)
return;
_latestPrimaryMomentum = momentumValue.ToDecimal();
_latestPrimaryTrend = trendValue.ToDecimal();
_primaryUpdated = true;
TryProcessSpread(candle);
}
private void ProcessBenchmarkCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var momentumValue = _benchmarkMomentum.Process(candle);
if (momentumValue.IsEmpty || !_benchmarkMomentum.IsFormed)
return;
_latestBenchmarkMomentum = momentumValue.ToDecimal();
_benchmarkUpdated = true;
TryProcessSpread(candle);
}
private void TryProcessSpread(ICandleMessage candle)
{
if (!_primaryUpdated || !_benchmarkUpdated)
return;
_primaryUpdated = false;
_benchmarkUpdated = false;
var spread = _latestPrimaryMomentum - _latestBenchmarkMomentum;
var mean = _spreadAverage.Process(spread, candle.OpenTime, true).ToDecimal();
var deviation = _spreadDeviation.Process(spread, candle.OpenTime, 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 &&
candle.ClosePrice >= _latestPrimaryTrend &&
zScore >= EntryThreshold;
var bearishEntry = _previousZScore is decimal previousBearish &&
previousBearish > -EntryThreshold &&
candle.ClosePrice <= _latestPrimaryTrend &&
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 mutual_fund_momentum_strategy(Strategy):
"""Mutual fund momentum strategy that trades the primary instrument when its medium-term momentum leadership diverges from a benchmark fund."""
def __init__(self):
super(mutual_fund_momentum_strategy, self).__init__()
self._security2_id = self.Param("Security2Id", "TONUSDT@BNBFT") \
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark fund", "General")
self._momentum_period = self.Param("MomentumPeriod", 32) \
.SetRange(5, 200) \
.SetDisplay("Momentum Period", "Momentum lookback period", "Indicators")
self._trend_period = self.Param("TrendPeriod", 20) \
.SetRange(5, 200) \
.SetDisplay("Trend Period", "Trend period used to align entries with the primary fund direction", "Indicators")
self._normalization_period = self.Param("NormalizationPeriod", 24) \
.SetRange(5, 120) \
.SetDisplay("Normalization Period", "Lookback period used to normalize the momentum leadership spread", "Indicators")
self._entry_threshold = self.Param("EntryThreshold", 1.0) \
.SetRange(0.2, 5.0) \
.SetDisplay("Entry Threshold", "Z-score threshold required to open a position", "Signals")
self._exit_threshold = self.Param("ExitThreshold", 0.2) \
.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", 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._primary_trend = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 0.0
self._latest_primary_trend = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
self._last_primary_candle = None
@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(mutual_fund_momentum_strategy, self).OnReseted()
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._primary_trend = None
self._spread_average = None
self._spread_deviation = None
self._latest_primary_momentum = 0.0
self._latest_benchmark_momentum = 0.0
self._latest_primary_trend = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
self._last_primary_candle = None
def OnStarted2(self, time):
super(mutual_fund_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_period = int(self._momentum_period.Value)
trend_period = int(self._trend_period.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._primary_trend = ExponentialMovingAverage()
self._primary_trend.Length = trend_period
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)
trend_iv = CandleIndicatorValue(self._primary_trend, candle)
trend_iv.IsFinal = True
trend_result = self._primary_trend.Process(trend_iv)
if mom_result.IsEmpty or trend_result.IsEmpty or not self._primary_momentum.IsFormed or not self._primary_trend.IsFormed:
return
self._latest_primary_momentum = float(mom_result)
self._latest_primary_trend = float(trend_result)
self._last_primary_candle = candle
self._primary_updated = True
self.TryProcessSpread(candle)
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
self._latest_benchmark_momentum = float(mom_result)
self._benchmark_updated = True
self.TryProcessSpread(candle)
def TryProcessSpread(self, candle):
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 = float(process_float(self._spread_average, spread, candle.OpenTime, True))
deviation = float(process_float(self._spread_deviation, spread, candle.OpenTime, 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 = (spread - mean) / deviation
entry_thresh = float(self._entry_threshold.Value)
exit_thresh = float(self._exit_threshold.Value)
cooldown = int(self._cooldown_bars.Value)
# Use last primary candle close for trend alignment
close_price = float(candle.ClosePrice)
bullish_entry = (self._previous_z_score is not None and
self._previous_z_score < entry_thresh and
close_price >= self._latest_primary_trend and
z_score >= entry_thresh)
bearish_entry = (self._previous_z_score is not None and
self._previous_z_score > -entry_thresh and
close_price <= self._latest_primary_trend 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 mutual_fund_momentum_strategy()