Divergencia de Volumen (Volume Divergence)
La Divergencia de Volumen busca discrepancias entre el movimiento del precio y el volumen de negociación. Si el precio cae pero el volumen aumenta, puede señalar acumulación; si el precio sube con fuerte volumen, puede señalar distribución.
Las pruebas indican un rendimiento anual promedio de aproximadamente el 43%. Funciona mejor en el mercado de acciones.
La estrategia entra en largo cuando los precios en caída van acompañados de volumen creciente, y entra en corto cuando los precios en alza se combinan con volumen elevado. Las salidas se basan en un cruce de media móvil.
Este enfoque intenta operar en contra de movimientos insostenibles.
Detalles
- Criterios de entrada: Precio y volumen moviéndose en direcciones opuestas.
- Largo/Corto: Ambos.
- Criterios de salida: El precio cruza la MA o stop.
- Stops: Sí.
- Valores predeterminados:
MAPeriod= 20ATRPeriod= 14CandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Divergencia
- Dirección: Ambos
- Indicadores: Volume, MA
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Intradía
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: Sí
- 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>
/// Volume Divergence strategy.
/// Long entry: Price falls but volume increases (possible accumulation).
/// Short entry: Price rises but volume increases (possible distribution).
/// Exit: Price crosses MA.
/// </summary>
public class VolumeDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _previousClose;
private decimal _previousVolume;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize <see cref="VolumeDivergenceStrategy"/>.
/// </summary>
public VolumeDivergenceStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for Moving Average", "Indicators")
.SetOptimize(10, 50, 10);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousClose = default;
_previousVolume = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousClose = 0;
_previousVolume = 0;
_cooldown = 0;
var ma = new SimpleMovingAverage { Length = MAPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal maValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_previousClose == 0)
{
_previousClose = candle.ClosePrice;
_previousVolume = candle.TotalVolume;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_previousClose = candle.ClosePrice;
_previousVolume = candle.TotalVolume;
return;
}
var priceDown = candle.ClosePrice < _previousClose;
var priceUp = candle.ClosePrice > _previousClose;
var volumeUp = candle.TotalVolume > _previousVolume;
var bullishDivergence = priceDown && volumeUp;
var bearishDivergence = priceUp && volumeUp;
if (Position == 0)
{
if (bullishDivergence && candle.ClosePrice < maValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (bearishDivergence && candle.ClosePrice > maValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && candle.ClosePrice < maValue && !bullishDivergence)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > maValue && !bearishDivergence)
{
BuyMarket();
_cooldown = CooldownBars;
}
_previousClose = candle.ClosePrice;
_previousVolume = candle.TotalVolume;
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volume_divergence_strategy(Strategy):
"""
Volume Divergence strategy.
Long entry: Price falls but volume increases (possible accumulation).
Short entry: Price rises but volume increases (possible distribution).
Exit: Price crosses MA.
"""
def __init__(self):
super(volume_divergence_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for Moving Average", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._previous_close = 0.0
self._previous_volume = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volume_divergence_strategy, self).OnReseted()
self._previous_close = 0.0
self._previous_volume = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(volume_divergence_strategy, self).OnStarted2(time)
self._previous_close = 0.0
self._previous_volume = 0.0
self._cooldown = 0
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ma_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
vol = float(candle.TotalVolume)
if self._previous_close == 0:
self._previous_close = close
self._previous_volume = vol
return
if self._cooldown > 0:
self._cooldown -= 1
self._previous_close = close
self._previous_volume = vol
return
mv = float(ma_val)
cd = self._cooldown_bars.Value
price_down = close < self._previous_close
price_up = close > self._previous_close
volume_up = vol > self._previous_volume
bullish_divergence = price_down and volume_up
bearish_divergence = price_up and volume_up
if self.Position == 0:
if bullish_divergence and close < mv:
self.BuyMarket()
self._cooldown = cd
elif bearish_divergence and close > mv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < mv and not bullish_divergence:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > mv and not bearish_divergence:
self.BuyMarket()
self._cooldown = cd
self._previous_close = close
self._previous_volume = vol
def CreateClone(self):
return volume_divergence_strategy()