Estrategia Gap Fill Reversal
La estrategia Reversión por Relleno de Brecha aprovecha los gaps nocturnos que retroceden rápidamente durante la siguiente sesión. Cuando el precio forma un gap alejándose del cierre anterior pero inmediatamente regresa para llenar ese vacío, a menudo señala el agotamiento del movimiento inicial.
Las pruebas indican un rendimiento anual promedio de aproximadamente 181%. Funciona mejor en el mercado de criptomonedas.
La estrategia entra una vez que el gap está completamente cerrado y busca una reversión en la dirección opuesta a la apertura. Su objetivo es capturar el rebote que ocurre cuando los traders atrapados salen de sus posiciones.
Un stop basado en porcentaje define el riesgo, y las posiciones se cierran cuando el impulso se desvanece o se alcanza el stop.
Detalles
- Criterios de entrada: coincidencia de patrón
- Largo/Corto: Ambos
- Criterios de salida: stop-loss o señal opuesta
- Stops: Sí, basado en porcentaje
- Valores predeterminados:
CandleType = 15 minutos
MinGapPercent = 0.02
Un gap es una apertura al menos MinGapPercent alejada del cierre de la vela anterior; el mercado opera las 24 horas, así que los gaps se miden entre velas consecutivas. El gap se cierra cuando la misma vela vuelve a ese cierre, y la señal opuesta invierte la posición.
StopLossPercent = 2
- Filtros:
- Categoría: Patrón
- Dirección: Ambos
- Indicadores: Gap
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Intradía
- 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>
/// Gap Fill Reversal strategy.
/// A gap is an open at least MinGapPercent away from the previous close. When the same candle trades back to the previous close,
/// filling the gap, the position turns against the gap: short after a gap up, long after a gap down. A percent stop limits the loss.
/// </summary>
public class GapFillReversalStrategy : Strategy
{
private readonly StrategyParam<decimal> _minGapPercent;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevClose;
/// <summary>
/// Minimum gap between the previous close and the open, in percent.
/// </summary>
public decimal MinGapPercent
{
get => _minGapPercent.Value;
set => _minGapPercent.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public GapFillReversalStrategy()
{
_minGapPercent = Param(nameof(MinGapPercent), 0.02m)
.SetGreaterThanZero()
.SetDisplay("Min Gap %", "Minimum gap between the previous close and the open", "Pattern");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_prevClose = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = null;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var prevClose = _prevClose;
_prevClose = candle.ClosePrice;
if (prevClose is not decimal last || last <= 0 || !IsFormedAndOnlineAndAllowTrading())
return;
var gap = (candle.OpenPrice - last) / last * 100m;
if (gap >= MinGapPercent && candle.LowPrice <= last && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (-gap >= MinGapPercent && candle.HighPrice >= last && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Strategies import Strategy
class gap_fill_reversal_strategy(Strategy):
"""
Gap Fill Reversal strategy.
A gap is an open at least MinGapPercent away from the previous close. When the same candle trades back to the previous close,
filling the gap, the position turns against the gap: short after a gap up, long after a gap down. A percent stop limits the loss.
"""
def __init__(self):
super(gap_fill_reversal_strategy, self).__init__()
self._min_gap_percent = self.Param("MinGapPercent", 0.02).SetGreaterThanZero().SetDisplay("Min Gap %", "Minimum gap between the previous close and the open", "Pattern")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_close = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(gap_fill_reversal_strategy, self).OnReseted()
self._prev_close = None
def OnStarted2(self, time):
super(gap_fill_reversal_strategy, self).OnStarted2(time)
self._prev_close = None
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
prev_close = self._prev_close
self._prev_close = candle.ClosePrice
if prev_close is None or prev_close <= 0 or not self.IsFormedAndOnlineAndAllowTrading():
return
gap = (candle.OpenPrice - prev_close) / prev_close * Decimal(100)
min_gap = Decimal(self._min_gap_percent.Value)
if gap >= min_gap and candle.LowPrice <= prev_close and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
elif -gap >= min_gap and candle.HighPrice >= prev_close and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
def CreateClone(self):
return gap_fill_reversal_strategy()