ADX Sentiment Momentum
ADX Sentiment Momentum 策略基于 ADX Sentiment Momentum。
当 its indicators confirms momentum shifts 在日内(5m)数据上得到确认时触发信号,适合积极交易者。
止损依赖于 ATR 倍数以及 AdxPeriod, AdxThreshold 等参数,可根据需要调整以平衡风险与收益。
详情
- 入场条件:参见指标条件实现.
- 多空方向:双向.
- 退出条件:反向信号或止损逻辑.
- 止损:是,基于指标计算.
- 默认值:
AdxPeriod = 14AdxThreshold = 25mSentimentPeriod = 5StopLoss = 2mCandleType = TimeSpan.FromMinutes(5).TimeFrame()
- 过滤器:
- 分类: 趋势跟随
- 方向: 双向
- 指标: multiple indicators
- 止损: 是
- 复杂度: 中等
- 时间框架: 日内 (5m)
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
using System;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// ADX trend strategy filtered by deterministic sentiment momentum.
/// </summary>
public class AdxSentimentMomentumStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxThreshold;
private readonly StrategyParam<int> _sentimentPeriod;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private ADX _adx = null!;
private decimal _prevSentiment;
private decimal _currentSentiment;
private decimal _sentimentMomentum;
private decimal? _prevDiPlus;
private decimal? _prevDiMinus;
private int _cooldownRemaining;
/// <summary>
/// ADX period.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// ADX threshold for strong trend.
/// </summary>
public decimal AdxThreshold
{
get => _adxThreshold.Value;
set => _adxThreshold.Value = value;
}
/// <summary>
/// Period for sentiment momentum calculation.
/// </summary>
public int SentimentPeriod
{
get => _sentimentPeriod.Value;
set => _sentimentPeriod.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLoss
{
get => _stopLoss.Value;
set => _stopLoss.Value = value;
}
/// <summary>
/// Closed candles to wait before another position change.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize strategy.
/// </summary>
public AdxSentimentMomentumStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetRange(5, 30)
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicators");
_adxThreshold = Param(nameof(AdxThreshold), 25m)
.SetRange(15m, 35m)
.SetDisplay("ADX Threshold", "Threshold for strong trend identification", "Indicators");
_sentimentPeriod = Param(nameof(SentimentPeriod), 5)
.SetRange(3, 10)
.SetDisplay("Sentiment Period", "Period for sentiment momentum calculation", "Sentiment");
_stopLoss = Param(nameof(StopLoss), 2m)
.SetRange(1m, 5m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management");
_cooldownBars = Param(nameof(CooldownBars), 24)
.SetNotNegative()
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_adx?.Reset();
_adx = null!;
_prevSentiment = 0m;
_currentSentiment = 0m;
_sentimentMomentum = 0m;
_prevDiPlus = null;
_prevDiMinus = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_adx = new ADX
{
Length = AdxPeriod
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_adx, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _adx);
DrawOwnTrades(area);
}
StartProtection(
new Unit(2, UnitTypes.Percent),
new Unit(StopLoss, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue)
{
if (candle.State != CandleStates.Finished)
return;
UpdateSentiment(candle);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (adxValue is not AverageDirectionalIndexValue typedAdx ||
typedAdx.MovingAverage is not decimal adxMain ||
typedAdx.Dx.Plus is not decimal diPlus ||
typedAdx.Dx.Minus is not decimal diMinus)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var bullishCross = _prevDiPlus is decimal previousPlus && _prevDiMinus is decimal previousMinus &&
previousPlus <= previousMinus && diPlus > diMinus;
var bearishCross = _prevDiPlus is decimal previousPlus2 && _prevDiMinus is decimal previousMinus2 &&
previousPlus2 >= previousMinus2 && diMinus > diPlus;
var strongTrend = adxMain >= AdxThreshold;
if (_cooldownRemaining == 0 && strongTrend && bullishCross && _sentimentMomentum > 0 && Position <= 0)
{
BuyMarket(Volume + (Position < 0 ? Math.Abs(Position) : 0m));
_cooldownRemaining = CooldownBars;
}
else if (_cooldownRemaining == 0 && strongTrend && bearishCross && _sentimentMomentum < 0 && Position >= 0)
{
SellMarket(Volume + (Position > 0 ? Math.Abs(Position) : 0m));
_cooldownRemaining = CooldownBars;
}
else if (Position > 0 && (adxMain < 20m || _sentimentMomentum < 0))
{
SellMarket(Position);
_cooldownRemaining = CooldownBars;
}
else if (Position < 0 && (adxMain < 20m || _sentimentMomentum > 0))
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevDiPlus = diPlus;
_prevDiMinus = diMinus;
}
private void UpdateSentiment(ICandleMessage candle)
{
_prevSentiment = _currentSentiment;
_currentSentiment = SimulateSentiment(candle);
_sentimentMomentum = _currentSentiment - _prevSentiment;
}
private decimal SimulateSentiment(ICandleMessage candle)
{
var range = Math.Max(candle.HighPrice - candle.LowPrice, 1m);
var body = candle.ClosePrice - candle.OpenPrice;
var bodyRatio = body / range;
var rangeRatio = range / Math.Max(candle.OpenPrice, 1m);
var trendFactor = Math.Min(0.3m, rangeRatio * SentimentPeriod);
return Math.Max(-1m, Math.Min(1m, bodyRatio + (Math.Sign(body) * trendFactor)));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import AverageDirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class adx_sentiment_momentum_strategy(Strategy):
"""ADX trend strategy filtered by deterministic sentiment momentum."""
def __init__(self):
super(adx_sentiment_momentum_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14) \
.SetRange(5, 30) \
.SetDisplay("ADX Period", "Period for ADX calculation", "Indicators")
self._adx_threshold = self.Param("AdxThreshold", 25.0) \
.SetRange(15.0, 35.0) \
.SetDisplay("ADX Threshold", "Threshold for strong trend identification", "Indicators")
self._sentiment_period = self.Param("SentimentPeriod", 5) \
.SetRange(3, 10) \
.SetDisplay("Sentiment Period", "Period for sentiment momentum calculation", "Sentiment")
self._stop_loss = self.Param("StopLoss", 2.0) \
.SetRange(1.0, 5.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
self._cooldown_bars = self.Param("CooldownBars", 24) \
.SetNotNegative() \
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._adx = None
self._prev_sentiment = 0.0
self._current_sentiment = 0.0
self._sentiment_momentum = 0.0
self._prev_di_plus = None
self._prev_di_minus = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type)]
def OnReseted(self):
super(adx_sentiment_momentum_strategy, self).OnReseted()
self._adx = None
self._prev_sentiment = 0.0
self._current_sentiment = 0.0
self._sentiment_momentum = 0.0
self._prev_di_plus = None
self._prev_di_minus = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adx_sentiment_momentum_strategy, self).OnStarted2(time)
self._adx = AverageDirectionalIndex()
self._adx.Length = int(self._adx_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._adx, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._adx)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(float(self._stop_loss.Value), UnitTypes.Percent)
)
def ProcessCandle(self, candle, adx_value):
if candle.State != CandleStates.Finished:
return
self.UpdateSentiment(candle)
if not self.IsFormedAndOnlineAndAllowTrading():
return
adx_main_val = adx_value.MovingAverage
di_plus_val = adx_value.Dx.Plus
di_minus_val = adx_value.Dx.Minus
if adx_main_val is None or di_plus_val is None or di_minus_val is None:
return
adx_main = float(adx_main_val)
di_plus = float(di_plus_val)
di_minus = float(di_minus_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
adx_threshold = float(self._adx_threshold.Value)
cooldown = int(self._cooldown_bars.Value)
bullish_cross = self._prev_di_plus is not None and self._prev_di_minus is not None and \
self._prev_di_plus <= self._prev_di_minus and di_plus > di_minus
bearish_cross = self._prev_di_plus is not None and self._prev_di_minus is not None and \
self._prev_di_plus >= self._prev_di_minus and di_minus > di_plus
strong_trend = adx_main >= adx_threshold
if self._cooldown_remaining == 0 and strong_trend and bullish_cross and self._sentiment_momentum > 0 and self.Position <= 0:
vol = self.Volume
if self.Position < 0:
vol = self.Volume + Math.Abs(self.Position)
self.BuyMarket(vol)
self._cooldown_remaining = cooldown
elif self._cooldown_remaining == 0 and strong_trend and bearish_cross and self._sentiment_momentum < 0 and self.Position >= 0:
vol = self.Volume
if self.Position > 0:
vol = self.Volume + Math.Abs(self.Position)
self.SellMarket(vol)
self._cooldown_remaining = cooldown
elif self.Position > 0 and (adx_main < 20.0 or self._sentiment_momentum < 0):
self.SellMarket(self.Position)
self._cooldown_remaining = cooldown
elif self.Position < 0 and (adx_main < 20.0 or self._sentiment_momentum > 0):
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_di_plus = di_plus
self._prev_di_minus = di_minus
def UpdateSentiment(self, candle):
self._prev_sentiment = self._current_sentiment
self._current_sentiment = self.SimulateSentiment(candle)
self._sentiment_momentum = self._current_sentiment - self._prev_sentiment
def SimulateSentiment(self, candle):
range_val = max(float(candle.HighPrice - candle.LowPrice), 1.0)
body = float(candle.ClosePrice - candle.OpenPrice)
body_ratio = body / range_val
range_ratio = range_val / max(float(candle.OpenPrice), 1.0)
sentiment_period = int(self._sentiment_period.Value)
trend_factor = min(0.3, range_ratio * sentiment_period)
sign = 1 if body > 0 else (-1 if body < 0 else 0)
result = body_ratio + (sign * trend_factor)
return max(-1.0, min(1.0, result))
def CreateClone(self):
return adx_sentiment_momentum_strategy()