Estrategia Momentum Percentage
Estrategia basada en el cambio porcentual del momentum de precio
Las pruebas indican un retorno anual promedio de aproximadamente 97%. Funciona mejor en el mercado de criptomonedas.
Momentum Percentage rastrea el cambio porcentual en el precio. Las operaciones se activan cuando el momentum supera los niveles positivos o negativos y salen con la señal contraria o un stop de volatilidad.
Al medir los retornos a lo largo de un período de referencia establecido, el sistema se adapta a diferentes mercados. El stop de volatilidad garantiza que los movimientos adversos grandes salgan rápidamente.
Detalles
- Criterios de entrada: Señales basadas en MA, Momentum.
- Largo/Corto: Ambas direcciones.
- Criterios de salida: Señal opuesta o stop.
- Stops: Sí.
- Valores predeterminados:
MomentumPeriod= 10ThresholdPercent= 5mStopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Tendencia
- Dirección: Ambos
- Indicadores: MA, Momentum
- Stops: Sí
- Complejidad: Básico
- Marco temporal: Intradía (5m)
- Estacionalidad: No
- Neural Networks: 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>
/// Strategy based on price momentum percentage change.
/// Uses percentage RateOfChange with an SMA trend filter and actual-fill percent protection.
/// Trades signed percentage threshold crossings, completely reversing on a counter signal.
/// </summary>
public class MomentumPercentageStrategy : Strategy
{
private readonly StrategyParam<int> _momentumPeriod;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _thresholdPercent;
private readonly StrategyParam<decimal> _stopLossPercent;
private decimal _prevMom;
private bool _hasPrevValues;
private Order _pendingOrder;
/// <summary>
/// Momentum period.
/// </summary>
public int MomentumPeriod
{
get => _momentumPeriod.Value;
set => _momentumPeriod.Value = value;
}
/// <summary>
/// SMA period.
/// </summary>
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public decimal ThresholdPercent { get => _thresholdPercent.Value; set => _thresholdPercent.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
/// <summary>
/// Initializes a new instance of the <see cref="MomentumPercentageStrategy"/>.
/// </summary>
public MomentumPercentageStrategy()
{
_momentumPeriod = Param(nameof(MomentumPeriod), 10)
.SetDisplay("Momentum Period", "Period for momentum calculation", "Indicators")
.SetOptimize(8, 20, 4);
_smaPeriod = Param(nameof(SmaPeriod), 20)
.SetDisplay("SMA Period", "Period for SMA trend filter", "Indicators")
.SetOptimize(15, 30, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_thresholdPercent = Param(nameof(ThresholdPercent), 5m).SetGreaterThanZero()
.SetDisplay("Threshold (%)", "Symmetric percentage return breakout level.", "Signal");
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
OrderRegistering += order => _pendingOrder = order;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType), (Security, DataType.Level1)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevMom = default;
_hasPrevValues = default;
_pendingOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var momentum = new RateOfChange { Length = MomentumPeriod };
var sma = new SimpleMovingAverage { Length = SmaPeriod };
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
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 subscription = SubscribeCandles(CandleType);
subscription
.Bind(momentum, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, momentum);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before the callback, including between bars.
}
private void ProcessCandle(ICandleMessage candle, decimal momValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (smaValue == 0)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevMom = momValue;
return;
}
if (_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
{
_prevMom = momValue;
return;
}
var price = candle.ClosePrice;
// Cross the configured positive percent return with an SMA confirmation.
if (_prevMom <= ThresholdPercent && momValue > ThresholdPercent && price > smaValue && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
// A confirmed opposite threshold reverses the complete position, not just its default volume.
else if (_prevMom >= -ThresholdPercent && momValue < -ThresholdPercent && price < smaValue && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
_prevMom = momValue;
}
}
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, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import RateOfChange, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class momentum_percentage_strategy(Strategy):
"""
Signed percentage momentum crossings with SMA confirmation and actual-fill percent protection.
"""
def __init__(self):
super(momentum_percentage_strategy, self).__init__()
self._momentum_period = self.Param("MomentumPeriod", 10).SetDisplay("Momentum Period", "Momentum period", "Indicators")
self._sma_period = self.Param("SmaPeriod", 20).SetDisplay("SMA Period", "SMA trend filter period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Timeframe", "General")
self._threshold_percent = self.Param("ThresholdPercent", 5.0).SetGreaterThanZero() \
.SetDisplay("Threshold (%)", "Symmetric percentage return breakout level.", "Signal")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative() \
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._prev_mom = Decimal.Zero
self._has_prev = False
self._pending_order = None
self.OrderRegistering += self._track_pending
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(momentum_percentage_strategy, self).OnReseted()
self._prev_mom = Decimal.Zero
self._has_prev = False
self._pending_order = None
def OnStarted2(self, time):
super(momentum_percentage_strategy, self).OnStarted2(time)
mom = RateOfChange()
mom.Length = self._momentum_period.Value
sma = SimpleMovingAverage()
sma.Length = self._sma_period.Value
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
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()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(mom, sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, mom)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between signal bars.
pass
def _process_candle(self, candle, mom, sma):
if candle.State != CandleStates.Finished or not self.IsFormedAndOnlineAndAllowTrading():
return
if sma == 0:
return
if not self._has_prev:
self._has_prev = True
self._prev_mom = mom
return
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
self._prev_mom = mom
return
price = candle.ClosePrice
threshold = Decimal(self._threshold_percent.Value)
if self._prev_mom <= threshold and mom > threshold and price > sma and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif self._prev_mom >= -threshold and mom < -threshold and price < sma and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
self._prev_mom = mom
def CreateClone(self):
return momentum_percentage_strategy()