动量反转波动率策略
该复合因子同时考虑长期动量、短期反转以及低波动率。每月为每只股票计算一个综合得分,包含12个月动量、最近1个月收益率的相反数以及过去60天的波动率,可通过权重 WM、WR、WV 调整三项的影响。
在每月第一个交易日,根据综合得分对股票排序,买入得分最高的十分位,卖空得分最低的十分位,仓位等权并持有到下次再平衡,不设止损。
通过结合趋势跟随、均值回归与风险控制,该策略力图在不同市场环境下提供多样化收益。
细节
- 入场条件:按动量、反转和波动率的加权得分排序;多头最高十分位、空头最低十分位
- 多/空:双向
- 退出条件:下一次月度再平衡
- 止损:无
- 默认值:
Lookback12= 252Lookback1= 21VolWindow= 60WM= 1.0WR= 1.0WV= 1.0MinTradeUsd= 200CandleType= TimeSpan.FromDays(1)
- 过滤:
- 类别:多因子
- 方向:双向
- 指标:动量、反转、波动率
- 止损:无
- 复杂度:高
- 时间框架:中期
- 季节性:无
- 神经网络:无
- 背离:无
- 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>
/// Momentum, reversal, and volatility composite strategy that trades the primary instrument when its composite score diverges from a benchmark instrument.
/// </summary>
public class MomentumRevVolStrategy : Strategy
{
private readonly StrategyParam<string> _security2Id;
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<int> _reversalPeriod;
private readonly StrategyParam<int> _volatilityPeriod;
private readonly StrategyParam<int> _normalizationPeriod;
private readonly StrategyParam<decimal> _momentumWeight;
private readonly StrategyParam<decimal> _reversalWeight;
private readonly StrategyParam<decimal> _volatilityWeight;
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 RateOfChange _primaryReversal = null!;
private RateOfChange _benchmarkReversal = null!;
private StandardDeviation _primaryVolatility = null!;
private StandardDeviation _benchmarkVolatility = null!;
private SimpleMovingAverage _spreadAverage = null!;
private StandardDeviation _spreadDeviation = null!;
private decimal? _previousPrimaryClose;
private decimal? _previousBenchmarkClose;
private decimal _latestPrimarySignal;
private decimal _latestBenchmarkSignal;
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>
/// Lookback period for medium-term momentum.
/// </summary>
public int MomentumPeriod
{
get => _momentumPeriod.Value;
set => _momentumPeriod.Value = value;
}
/// <summary>
/// Lookback period for short-term reversal.
/// </summary>
public int ReversalPeriod
{
get => _reversalPeriod.Value;
set => _reversalPeriod.Value = value;
}
/// <summary>
/// Lookback period used to estimate realized volatility.
/// </summary>
public int VolatilityPeriod
{
get => _volatilityPeriod.Value;
set => _volatilityPeriod.Value = value;
}
/// <summary>
/// Lookback period used to normalize the relative composite spread.
/// </summary>
public int NormalizationPeriod
{
get => _normalizationPeriod.Value;
set => _normalizationPeriod.Value = value;
}
/// <summary>
/// Weight applied to the momentum component.
/// </summary>
public decimal MomentumWeight
{
get => _momentumWeight.Value;
set => _momentumWeight.Value = value;
}
/// <summary>
/// Weight applied to the reversal component.
/// </summary>
public decimal ReversalWeight
{
get => _reversalWeight.Value;
set => _reversalWeight.Value = value;
}
/// <summary>
/// Weight applied to the volatility component.
/// </summary>
public decimal VolatilityWeight
{
get => _volatilityWeight.Value;
set => _volatilityWeight.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 MomentumRevVolStrategy()
{
_security2Id = Param(nameof(Security2Id), Paths.HistoryDefaultSecurity2)
.SetDisplay("Benchmark Security Id", "Identifier of the benchmark security", "General");
_momentumPeriod = Param(nameof(MomentumPeriod), 36)
.SetRange(8, 200)
.SetDisplay("Momentum Period", "Lookback period for medium-term momentum", "Indicators");
_reversalPeriod = Param(nameof(ReversalPeriod), 8)
.SetRange(2, 60)
.SetDisplay("Reversal Period", "Lookback period for short-term reversal", "Indicators");
_volatilityPeriod = Param(nameof(VolatilityPeriod), 18)
.SetRange(5, 120)
.SetDisplay("Volatility Period", "Lookback period used to estimate realized volatility", "Indicators");
_normalizationPeriod = Param(nameof(NormalizationPeriod), 24)
.SetRange(5, 120)
.SetDisplay("Normalization Period", "Lookback period used to normalize the relative composite spread", "Indicators");
_momentumWeight = Param(nameof(MomentumWeight), 1m)
.SetRange(0.1m, 10m)
.SetDisplay("Momentum Weight", "Weight applied to the momentum component", "Signals");
_reversalWeight = Param(nameof(ReversalWeight), 0.8m)
.SetRange(0.1m, 10m)
.SetDisplay("Reversal Weight", "Weight applied to the reversal component", "Signals");
_volatilityWeight = Param(nameof(VolatilityWeight), 1.5m)
.SetRange(0.1m, 10m)
.SetDisplay("Volatility Weight", "Weight applied to the volatility component", "Signals");
_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), 0.3m)
.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 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!;
_primaryReversal = null!;
_benchmarkReversal = null!;
_primaryVolatility = null!;
_benchmarkVolatility = null!;
_spreadAverage = null!;
_spreadDeviation = null!;
_previousPrimaryClose = null;
_previousBenchmarkClose = null;
_latestPrimarySignal = 0m;
_latestBenchmarkSignal = 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 };
_primaryReversal = new RateOfChange { Length = ReversalPeriod };
_benchmarkReversal = new RateOfChange { Length = ReversalPeriod };
_primaryVolatility = new StandardDeviation { Length = VolatilityPeriod };
_benchmarkVolatility = new StandardDeviation { Length = VolatilityPeriod };
_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 reversalValue = _primaryReversal.Process(candle);
var ret = CalculateReturn(candle.ClosePrice, ref _previousPrimaryClose);
if (momentumValue.IsEmpty || reversalValue.IsEmpty || ret is null || !_primaryMomentum.IsFormed || !_primaryReversal.IsFormed)
return;
var volatilityValue = _primaryVolatility.Process(Math.Abs(ret.Value), candle.OpenTime, true);
if (volatilityValue.IsEmpty || !_primaryVolatility.IsFormed)
return;
_latestPrimarySignal =
(MomentumWeight * momentumValue.ToDecimal()) -
(ReversalWeight * reversalValue.ToDecimal()) -
(VolatilityWeight * volatilityValue.ToDecimal());
_primaryUpdated = true;
TryProcessSpread(candle.OpenTime);
}
private void ProcessBenchmarkCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var momentumValue = _benchmarkMomentum.Process(candle);
var reversalValue = _benchmarkReversal.Process(candle);
var ret = CalculateReturn(candle.ClosePrice, ref _previousBenchmarkClose);
if (momentumValue.IsEmpty || reversalValue.IsEmpty || ret is null || !_benchmarkMomentum.IsFormed || !_benchmarkReversal.IsFormed)
return;
var volatilityValue = _benchmarkVolatility.Process(Math.Abs(ret.Value), candle.OpenTime, true);
if (volatilityValue.IsEmpty || !_benchmarkVolatility.IsFormed)
return;
_latestBenchmarkSignal =
(MomentumWeight * momentumValue.ToDecimal()) -
(ReversalWeight * reversalValue.ToDecimal()) -
(VolatilityWeight * volatilityValue.ToDecimal());
_benchmarkUpdated = true;
TryProcessSpread(candle.OpenTime);
}
private static decimal? CalculateReturn(decimal closePrice, ref decimal? previousClose)
{
if (previousClose is not decimal previous || previous <= 0m)
{
previousClose = closePrice;
return null;
}
var ret = (closePrice - previous) / previous;
previousClose = closePrice;
return ret;
}
private void TryProcessSpread(DateTime time)
{
if (!_primaryUpdated || !_benchmarkUpdated)
return;
_primaryUpdated = false;
_benchmarkUpdated = false;
var spread = _latestPrimarySignal - _latestBenchmarkSignal;
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, StandardDeviation, SimpleMovingAverage, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security
from indicator_extensions import *
class momentum_rev_vol_strategy(Strategy):
"""Momentum, reversal, and volatility composite strategy that trades the primary instrument when its composite score diverges from a benchmark instrument."""
def __init__(self):
super(momentum_rev_vol_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", 36) \
.SetRange(8, 200) \
.SetDisplay("Momentum Period", "Lookback period for medium-term momentum", "Indicators")
self._reversal_period = self.Param("ReversalPeriod", 8) \
.SetRange(2, 60) \
.SetDisplay("Reversal Period", "Lookback period for short-term reversal", "Indicators")
self._volatility_period = self.Param("VolatilityPeriod", 18) \
.SetRange(5, 120) \
.SetDisplay("Volatility Period", "Lookback period used to estimate realized volatility", "Indicators")
self._normalization_period = self.Param("NormalizationPeriod", 24) \
.SetRange(5, 120) \
.SetDisplay("Normalization Period", "Lookback period used to normalize the relative composite spread", "Indicators")
self._momentum_weight = self.Param("MomentumWeight", 1.0) \
.SetRange(0.1, 10.0) \
.SetDisplay("Momentum Weight", "Weight applied to the momentum component", "Signals")
self._reversal_weight = self.Param("ReversalWeight", 0.8) \
.SetRange(0.1, 10.0) \
.SetDisplay("Reversal Weight", "Weight applied to the reversal component", "Signals")
self._volatility_weight = self.Param("VolatilityWeight", 1.5) \
.SetRange(0.1, 10.0) \
.SetDisplay("Volatility Weight", "Weight applied to the volatility component", "Signals")
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", 0.3) \
.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 Type", "Time frame for candles", "General")
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._primary_reversal = None
self._benchmark_reversal = None
self._primary_volatility = None
self._benchmark_volatility = None
self._spread_average = None
self._spread_deviation = None
self._previous_primary_close = None
self._previous_benchmark_close = None
self._latest_primary_signal = 0.0
self._latest_benchmark_signal = 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(momentum_rev_vol_strategy, self).OnReseted()
self._benchmark = None
self._primary_momentum = None
self._benchmark_momentum = None
self._primary_reversal = None
self._benchmark_reversal = None
self._primary_volatility = None
self._benchmark_volatility = None
self._spread_average = None
self._spread_deviation = None
self._previous_primary_close = None
self._previous_benchmark_close = None
self._latest_primary_signal = 0.0
self._latest_benchmark_signal = 0.0
self._previous_z_score = None
self._primary_updated = False
self._benchmark_updated = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(momentum_rev_vol_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)
rev_period = int(self._reversal_period.Value)
vol_period = int(self._volatility_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_reversal = RateOfChange()
self._primary_reversal.Length = rev_period
self._benchmark_reversal = RateOfChange()
self._benchmark_reversal.Length = rev_period
self._primary_volatility = StandardDeviation()
self._primary_volatility.Length = vol_period
self._benchmark_volatility = StandardDeviation()
self._benchmark_volatility.Length = vol_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)
rev_iv = CandleIndicatorValue(self._primary_reversal, candle)
rev_iv.IsFinal = True
rev_result = self._primary_reversal.Process(rev_iv)
close_price = float(candle.ClosePrice)
ret = self.CalculateReturn(close_price, True)
if mom_result.IsEmpty or rev_result.IsEmpty or ret is None or not self._primary_momentum.IsFormed or not self._primary_reversal.IsFormed:
return
abs_ret = abs(ret)
vol_result = process_float(self._primary_volatility, abs_ret, candle.OpenTime, True)
if vol_result.IsEmpty or not self._primary_volatility.IsFormed:
return
mom_w = float(self._momentum_weight.Value)
rev_w = float(self._reversal_weight.Value)
vol_w = float(self._volatility_weight.Value)
self._latest_primary_signal = (mom_w * float(mom_result)) - (rev_w * float(rev_result)) - (vol_w * float(vol_result))
self._primary_updated = True
self.TryProcessSpread(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)
rev_iv = CandleIndicatorValue(self._benchmark_reversal, candle)
rev_iv.IsFinal = True
rev_result = self._benchmark_reversal.Process(rev_iv)
close_price = float(candle.ClosePrice)
ret = self.CalculateReturn(close_price, False)
if mom_result.IsEmpty or rev_result.IsEmpty or ret is None or not self._benchmark_momentum.IsFormed or not self._benchmark_reversal.IsFormed:
return
abs_ret = abs(ret)
vol_result = process_float(self._benchmark_volatility, abs_ret, candle.OpenTime, True)
if vol_result.IsEmpty or not self._benchmark_volatility.IsFormed:
return
mom_w = float(self._momentum_weight.Value)
rev_w = float(self._reversal_weight.Value)
vol_w = float(self._volatility_weight.Value)
self._latest_benchmark_signal = (mom_w * float(mom_result)) - (rev_w * float(rev_result)) - (vol_w * float(vol_result))
self._benchmark_updated = True
self.TryProcessSpread(candle.OpenTime)
def CalculateReturn(self, close_price, is_primary):
if is_primary:
prev = self._previous_primary_close
else:
prev = self._previous_benchmark_close
if prev is None or prev <= 0.0:
if is_primary:
self._previous_primary_close = close_price
else:
self._previous_benchmark_close = close_price
return None
ret = (close_price - prev) / prev
if is_primary:
self._previous_primary_close = close_price
else:
self._previous_benchmark_close = close_price
return ret
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_signal - self._latest_benchmark_signal
mean = float(process_float(self._spread_average, spread, time, True))
deviation = float(process_float(self._spread_deviation, spread, 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 = (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 momentum_rev_vol_strategy()