Estrategia de Fuerza Promedio
La estrategia de Fuerza Promedio utiliza un oscilador que mide dónde se ubica el cierre dentro del máximo más alto y el mínimo más bajo de un período de referencia, y suaviza el resultado con una media móvil. Los valores positivos señalan presión alcista mientras que los valores negativos muestran fuerza bajista.
La estrategia abre una posición larga cuando el valor suavizado de la Fuerza Promedio está por encima de cero y abre una posición corta cuando está por debajo de cero.
Detalles
- Criterios de entrada:
- Average Force > 0 → Comprar.
- Average Force < 0 → Vender.
- Largo/Corto: Ambas posiciones largas y cortas.
- Criterios de salida:
- La posición se invierte cuando la Fuerza Promedio cruza cero en dirección opuesta.
- Stops: Ninguno.
- Valores predeterminados:
Period= 18Smooth= 6
- Filtros:
- Categoría: Momentum
- Dirección: Ambos
- Indicadores: Highest, Lowest, SMA
- Stops: No
- Complejidad: Bajo
- Marco temporal: Cualquiera
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Bajo
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Average Force strategy.
/// Uses EMA crossover as trend signal with cooldown between trades.
/// </summary>
public class AverageForceStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private int _barIndex;
private int _lastTradeBar;
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastLength
{
get => _fastLength.Value;
set => _fastLength.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowLength
{
get => _slowLength.Value;
set => _slowLength.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AverageForceStrategy()
{
_fastLength = Param(nameof(FastLength), 18)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowLength = Param(nameof(SlowLength), 50)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 350)
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_barIndex = 0;
_lastTradeBar = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastLength };
var slowEma = new ExponentialMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
var crossUp = _prevFast > 0 && _prevFast <= _prevSlow && fastValue > slowValue;
var crossDown = _prevFast > 0 && _prevFast >= _prevSlow && fastValue < slowValue;
if (crossUp && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (crossDown && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevFast = fastValue;
_prevSlow = slowValue;
}
}
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
from StockSharp.Algo.Strategies import Strategy
class average_force_strategy(Strategy):
def __init__(self):
super(average_force_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 18) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_length = self.Param("SlowLength", 50) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 350) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._bar_index = 0
self._last_trade_bar = 0
@property
def fast_length(self):
return self._fast_length.Value
@fast_length.setter
def fast_length(self, value):
self._fast_length.Value = value
@property
def slow_length(self):
return self._slow_length.Value
@slow_length.setter
def slow_length(self, value):
self._slow_length.Value = value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
@cooldown_bars.setter
def cooldown_bars(self, value):
self._cooldown_bars.Value = value
@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(average_force_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._bar_index = 0
self._last_trade_bar = 0
def OnStarted2(self, time):
super(average_force_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_length
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
cooldown_ok = self._bar_index - self._last_trade_bar > self.cooldown_bars
cross_up = self._prev_fast > 0 and self._prev_fast <= self._prev_slow and fast_value > slow_value
cross_down = self._prev_fast > 0 and self._prev_fast >= self._prev_slow and fast_value < slow_value
if cross_up and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif cross_down and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_fast = float(fast_value)
self._prev_slow = float(slow_value)
def CreateClone(self):
return average_force_strategy()