Esta estrategia entra en posiciones largas cuando la liquidez y la volatilidad son altas y la tendencia a corto plazo es alcista. La alta liquidez se define como volumen por encima de su media móvil multiplicado por un umbral. La volatilidad se confirma cuando el ATR supera su media móvil.
Detalles
Criterios de entrada:
Volumen > SMA(volumen) * LiquidityThreshold
Cambio de precio (%) > PriceChangeThreshold
SMA rápida > SMA lenta
RSI < 65
ATR > SMA(ATR,10)
Largo/Corto: Solo largos.
Criterios de salida: SMA rápida cruzando por debajo de la SMA lenta o RSI > 70.
Stops: Porcentajes opcionales de stop-loss y toma de ganancias.
Valores predeterminados:
LiquidityThreshold = 1.3
PriceChangeThreshold = 1.5
VolatilityPeriod = 14
LiquidityPeriod = 20
FastMaPeriod = 9
SlowMaPeriod = 21
RsiPeriod = 14
StopLossPercent = 0.5
TakeProfitPercent = 7
Filtros:
Categoría: Ruptura
Dirección: Largo
Indicadores: SMA, RSI, ATR
Stops: Sí
Complejidad: Medio
Marco temporal: 1h
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>
/// Bitcoin liquidity breakout strategy using EMA crossover.
/// Enters long on golden cross, short on death cross.
/// </summary>
public class BitcoinLiquidityBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BitcoinLiquidityBreakoutStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
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 fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
{
SellMarket();
}
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 bitcoin_liquidity_breakout_strategy(Strategy):
def __init__(self):
super(bitcoin_liquidity_breakout_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def fast_ema_period(self):
return self._fast_ema_period.Value
@property
def slow_ema_period(self):
return self._slow_ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bitcoin_liquidity_breakout_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(bitcoin_liquidity_breakout_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ema_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ema_period
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_ema_value, slow_ema_value):
if candle.State != CandleStates.Finished:
return
if self._prev_fast_ema == 0 or self._prev_slow_ema == 0:
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_ema_value > slow_ema_value and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_ema_value < slow_ema_value and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
def CreateClone(self):
return bitcoin_liquidity_breakout_strategy()