Estrategia Fisher Transform X2
Esta estrategia utiliza el indicador Fisher Transform en dos marcos temporales diferentes. El marco temporal superior define la tendencia general, mientras que el inferior genera entradas cuando Fisher cruza su valor anterior contra esa tendencia. Los parámetros opcionales permiten cerrar posiciones en cambio de tendencia o en señales de cruce.
Detalles
- Criterios de entrada:
- Largo:
Fisher de tendencia subiendo&&Fisher de señal cruza por debajo de su valor anterior - Corto:
Fisher de tendencia bajando&&Fisher de señal cruza por encima de su valor anterior
- Largo:
- Largo/Corto: Ambos
- Criterios de salida:
- Cierre opcional en reversión de tendencia
- Cierre opcional en cruce opuesto de Fisher en el marco temporal de señal
- Stops: Take profit y stop loss en puntos
- Valores predeterminados:
Trend Length= 10Signal Length= 10Trend Timeframe= 6 horasSignal Timeframe= 30 minutosTake Profit= 2000 puntosStop Loss= 1000 puntos
- Filtros:
- Categoría: Seguimiento de tendencia
- Dirección: Ambos
- Indicadores: Fisher Transform
- Stops: Sí
- Complejidad: Medio
- Marco temporal: Multi-timeframe
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
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>
/// Fisher Transform strategy using two Fisher indicators (trend + signal).
/// Trend Fisher defines direction; Signal Fisher generates entries.
/// Both use same timeframe but different lengths.
/// </summary>
public class FisherTransformX2Strategy : Strategy
{
private readonly StrategyParam<int> _trendLength;
private readonly StrategyParam<int> _signalLength;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<DataType> _candleType;
private EhlersFisherTransform _trendFisher;
private EhlersFisherTransform _signalFisher;
private decimal _prevTrend;
private decimal _prevSignal;
private decimal _prevPrevSignal;
private int _trendDirection;
private int _count;
public int TrendLength { get => _trendLength.Value; set => _trendLength.Value = value; }
public int SignalLength { get => _signalLength.Value; set => _signalLength.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FisherTransformX2Strategy()
{
_trendLength = Param(nameof(TrendLength), 40)
.SetGreaterThanZero()
.SetDisplay("Trend Length", "Fisher length for trend", "Parameters")
.SetOptimize(10, 30, 2);
_signalLength = Param(nameof(SignalLength), 20)
.SetGreaterThanZero()
.SetDisplay("Signal Length", "Fisher length for signal", "Parameters")
.SetOptimize(5, 20, 1);
_takeProfit = Param(nameof(TakeProfit), 2000m)
.SetGreaterThanZero()
.SetDisplay("Take Profit", "Take profit in price units", "Risk");
_stopLoss = Param(nameof(StopLoss), 1000m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevTrend = 0m;
_prevSignal = 0m;
_prevPrevSignal = 0m;
_trendDirection = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_trendFisher = new EhlersFisherTransform { Length = TrendLength };
_signalFisher = new EhlersFisherTransform { Length = SignalLength };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_signalFisher, ProcessCandle)
.Start();
StartProtection(
new Unit(TakeProfit, UnitTypes.Absolute),
new Unit(StopLoss, UnitTypes.Absolute));
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _signalFisher);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue signalResult)
{
if (candle.State != CandleStates.Finished)
return;
// Process trend Fisher manually with the candle
var trendResult = _trendFisher.Process(candle);
if (!_trendFisher.IsFormed || !_signalFisher.IsFormed)
return;
var signalVal = ((IEhlersFisherTransformValue)signalResult).MainLine ?? 0m;
var trendVal = ((IEhlersFisherTransformValue)trendResult).MainLine ?? 0m;
_count++;
if (_count < 3)
{
_prevPrevSignal = _prevSignal;
_prevSignal = signalVal;
_prevTrend = trendVal;
return;
}
// Update trend direction
if (trendVal > _prevTrend)
_trendDirection = 1;
else if (trendVal < _prevTrend)
_trendDirection = -1;
// Signal crossover
var signalCrossUp = signalVal > _prevSignal && _prevSignal <= _prevPrevSignal && signalVal < 0m;
var signalCrossDown = signalVal < _prevSignal && _prevSignal >= _prevPrevSignal && signalVal > 0m;
if (_trendDirection > 0 && signalCrossUp && Position <= 0)
BuyMarket();
else if (_trendDirection < 0 && signalCrossDown && Position >= 0)
SellMarket();
_prevTrend = trendVal;
_prevPrevSignal = _prevSignal;
_prevSignal = signalVal;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import EhlersFisherTransform, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class fisher_transform_x2_strategy(Strategy):
"""
Fisher Transform X2: Dual Fisher indicator strategy.
Trend Fisher defines direction; Signal Fisher generates entries.
Uses StartProtection for SL/TP.
"""
def __init__(self):
super(fisher_transform_x2_strategy, self).__init__()
self._trend_length = self.Param("TrendLength", 40) \
.SetDisplay("Trend Length", "Fisher length for trend", "Parameters")
self._signal_length = self.Param("SignalLength", 20) \
.SetDisplay("Signal Length", "Fisher length for signal", "Parameters")
self._take_profit = self.Param("TakeProfit", 2000.0) \
.SetDisplay("Take Profit", "Take profit in price units", "Risk")
self._stop_loss = self.Param("StopLoss", 1000.0) \
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._trend_fisher = None
self._prev_trend = 0.0
self._prev_signal = 0.0
self._prev_prev_signal = 0.0
self._trend_direction = 0
self._count = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(fisher_transform_x2_strategy, self).OnReseted()
self._prev_trend = 0.0
self._prev_signal = 0.0
self._prev_prev_signal = 0.0
self._trend_direction = 0
self._count = 0
def OnStarted2(self, time):
super(fisher_transform_x2_strategy, self).OnStarted2(time)
self._trend_fisher = EhlersFisherTransform()
self._trend_fisher.Length = self._trend_length.Value
self.Indicators.Add(self._trend_fisher)
signal_fisher = EhlersFisherTransform()
signal_fisher.Length = self._signal_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(signal_fisher, self._process_candle).Start()
tp = self._take_profit.Value
sl = self._stop_loss.Value
self.StartProtection(
Unit(tp, UnitTypes.Absolute),
Unit(sl, UnitTypes.Absolute))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, signal_fisher)
self.DrawOwnTrades(area)
def _process_candle(self, candle, signal_result):
if candle.State != CandleStates.Finished:
return
trend_input = CandleIndicatorValue(self._trend_fisher, candle)
trend_input.IsFinal = True
trend_result = self._trend_fisher.Process(trend_input)
if not self._trend_fisher.IsFormed:
return
signal_main = signal_result.MainLine
trend_main = trend_result.MainLine
signal_val = float(signal_main) if signal_main is not None else 0.0
trend_val = float(trend_main) if trend_main is not None else 0.0
self._count += 1
if self._count < 3:
self._prev_prev_signal = self._prev_signal
self._prev_signal = signal_val
self._prev_trend = trend_val
return
if trend_val > self._prev_trend:
self._trend_direction = 1
elif trend_val < self._prev_trend:
self._trend_direction = -1
signal_cross_up = signal_val > self._prev_signal and self._prev_signal <= self._prev_prev_signal and signal_val < 0
signal_cross_down = signal_val < self._prev_signal and self._prev_signal >= self._prev_prev_signal and signal_val > 0
if self._trend_direction > 0 and signal_cross_up and self.Position <= 0:
self.BuyMarket()
elif self._trend_direction < 0 and signal_cross_down and self.Position >= 0:
self.SellMarket()
self._prev_trend = trend_val
self._prev_prev_signal = self._prev_signal
self._prev_signal = signal_val
def CreateClone(self):
return fisher_transform_x2_strategy()