Estrategia de Compra por Ruptura de Precio y Volumen
La estrategia entra cuando precio y volumen rompen simultáneamente por encima de sus respectivos máximos del período de lookback mientras el precio se mantiene sobre la SMA de tendencia. Las operaciones cortas se activan cuando el precio cae por debajo del mínimo del lookback bajo la misma condición de volumen y filtro SMA. Las posiciones se cierran tras cinco cierres consecutivos en el lado opuesto de la SMA.
Detalles
Criterios de entrada:
Largo: Close > máximo más alto anterior && Volume > volumen más alto anterior && Close > SMA
Corto: Close < mínimo más bajo anterior && Volume > volumen más alto anterior && Close < SMA
Largo/Corto: Configurable
Criterios de salida:
Tendencia: Cinco cierres más allá de la SMA
Stops: No
Valores predeterminados:
PriceBreakoutPeriod = 60
VolumeBreakoutPeriod = 60
TrendlineLength = 200
OrderDirection = "Long"
CandleType = TimeSpan.FromDays(1)
Filtros:
Categoría: Ruptura
Dirección: Configurable
Indicadores: Highest, SMA, Volume
Stops: No
Complejidad: Básico
Marco temporal: Cualquiera
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Medio
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>
/// Price and volume breakout strategy using EMA crossover.
/// </summary>
public class PriceAndVolumeBreakoutBuyStrategy : Strategy
{
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public PriceAndVolumeBreakoutBuyStrategy()
{
_slowLength = Param(nameof(SlowLength), 40)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow EMA period", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 14 };
var slow = new ExponentialMovingAverage { Length = SlowLength };
var prevF = 0m;
var prevS = 0m;
var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(360);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, (candle, f, s) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!fast.IsFormed || !slow.IsFormed)
return;
if (!init)
{
prevF = f;
prevS = s;
init = true;
return;
}
if (candle.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && Position <= 0)
{
BuyMarket();
lastSignal = candle.OpenTime;
}
else if (prevF >= prevS && f < s && Position >= 0)
{
SellMarket();
lastSignal = candle.OpenTime;
}
}
prevF = f;
prevS = s;
})
.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
from StockSharp.Algo.Strategies import Strategy
class price_and_volume_breakout_buy_strategy(Strategy):
def __init__(self):
super(price_and_volume_breakout_buy_strategy, self).__init__()
self._slow_length = self.Param("SlowLength", 40) \
.SetGreaterThanZero() \
.SetDisplay("Slow Length", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal_ticks = 0
@property
def slow_length(self):
return self._slow_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(price_and_volume_breakout_buy_strategy, self).OnReseted()
self._prev_f = 0.0
self._prev_s = 0.0
self._init = False
self._last_signal_ticks = 0
def OnStarted2(self, time):
super(price_and_volume_breakout_buy_strategy, self).OnStarted2(time)
self._fast = ExponentialMovingAverage()
self._fast.Length = 14
self._slow = ExponentialMovingAverage()
self._slow.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast, self._slow, self.on_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast)
self.DrawIndicator(area, self._slow)
self.DrawOwnTrades(area)
def on_candle(self, candle, f, s):
if candle.State != CandleStates.Finished:
return
if not self._fast.IsFormed or not self._slow.IsFormed:
return
f = float(f)
s = float(s)
if not self._init:
self._prev_f = f
self._prev_s = s
self._init = True
return
cooldown_ticks = TimeSpan.FromMinutes(360).Ticks
current_ticks = candle.OpenTime.Ticks
if current_ticks - self._last_signal_ticks >= cooldown_ticks:
if self._prev_f <= self._prev_s and f > s and self.Position <= 0:
self.BuyMarket()
self._last_signal_ticks = current_ticks
elif self._prev_f >= self._prev_s and f < s and self.Position >= 0:
self.SellMarket()
self._last_signal_ticks = current_ticks
self._prev_f = f
self._prev_s = s
def CreateClone(self):
return price_and_volume_breakout_buy_strategy()