Стратегия Multi-TF AI SuperTrend with ADX
Эта стратегия использует два индикатора SuperTrend и фильтр ADX. Направление тренда подтверждается сравнением ценовых WMA с WMA SuperTrend. Лонг открывается, когда оба SuperTrend бычьи и ADX показывает положительную силу. Шорт открывается при обратных условиях. ATR первого SuperTrend служит трейлинг-стопом.
- Long: оба SuperTrend в бычьем направлении, ценовые WMA выше линий SuperTrend, +DI > -DI и ADX выше порога.
- Short: оба SuperTrend в медвежьем направлении, ценовые WMA ниже линий SuperTrend, -DI > +DI и ADX выше порога.
- Индикаторы: SuperTrend, WMA, ATR, ADX.
- Стопы: трейлинг-стоп по ATR первого SuperTrend.
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Multi-TF AI SuperTrend with ADX Strategy - simplified EMA cross with RSI filter.
/// </summary>
public class MultiTfAiSuperTrendWithAdxStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _rsiLength;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public MultiTfAiSuperTrendWithAdxStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_fastLength = Param(nameof(FastLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowLength = Param(nameof(SlowLength), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI", "RSI period", "Indicators");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastLength };
var slow = new ExponentialMovingAverage { Length = SlowLength };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var prevFast = 0m;
var prevSlow = 0m;
var initialized = false;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, rsi, (candle, fastVal, slowVal, rsiVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed || !rsi.IsFormed)
return;
if (!initialized)
{
prevFast = fastVal;
prevSlow = slowVal;
initialized = true;
return;
}
// EMA crossover with RSI confirmation
if (prevFast <= prevSlow && fastVal > slowVal && rsiVal > 45 && Position <= 0)
BuyMarket();
else if (prevFast >= prevSlow && fastVal < slowVal && rsiVal < 55 && Position > 0)
SellMarket();
prevFast = fastVal;
prevSlow = slowVal;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class multi_tf_ai_super_trend_with_adx_strategy(Strategy):
def __init__(self):
super(multi_tf_ai_super_trend_with_adx_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._fast_length = self.Param("FastLength", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_length = self.Param("SlowLength", 30) \
.SetGreaterThanZero() \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI", "RSI period", "Indicators")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(multi_tf_ai_super_trend_with_adx_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
def OnStarted2(self, time):
super(multi_tf_ai_super_trend_with_adx_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._initialized = False
self._fast = ExponentialMovingAverage()
self._fast.Length = self._fast_length.Value
self._slow = ExponentialMovingAverage()
self._slow.Length = self._slow_length.Value
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self._rsi, self.OnProcess).Start()
def OnProcess(self, candle, fast_val, slow_val, rsi_val):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed or not self._rsi.IsFormed:
return
fv = float(fast_val)
sv = float(slow_val)
rv = float(rsi_val)
if not self._initialized:
self._prev_fast = fv
self._prev_slow = sv
self._initialized = True
return
if self._prev_fast <= self._prev_slow and fv > sv and rv > 45.0 and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fv < sv and rv < 55.0 and self.Position > 0:
self.SellMarket()
self._prev_fast = fv
self._prev_slow = sv
def CreateClone(self):
return multi_tf_ai_super_trend_with_adx_strategy()