El Dynamic Ticks Oscillator Model utiliza la tasa de cambio del índice NYSE Down Ticks. Cuando el ROC cae por debajo de un umbral dinámico basado en la desviación estándar, la estrategia abre una posición larga. La posición se cierra una vez que el ROC sube por encima de un umbral positivo.
Detalles
Criterios de entrada: ROC < -StdDev * EntryStdDevMultiplier
Largo/Corto: Solo largos.
Criterios de salida: ROC > StdDev * ExitStdDevMultiplier
Stops: No.
Valores predeterminados:
RocLength = 5
VolatilityLookback = 24
EntryStdDevMultiplier = 1.6m
ExitStdDevMultiplier = 1.4m
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
Filtros:
Categoría: Reversión a la media
Dirección: Solo largos
Indicadores: RateOfChange, StandardDeviation
Stops: No
Complejidad: Principiante
Marco temporal: Diario
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;
public class DynamicTicksOscillatorModelStrategy : 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 DynamicTicksOscillatorModelStrategy()
{
_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");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
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 dynamic_ticks_oscillator_model_strategy(Strategy):
"""
Dynamic Ticks Oscillator Model strategy using EMA crossover.
Enters long on golden cross, short on death cross.
"""
def __init__(self):
super(dynamic_ticks_oscillator_model_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", "Candle type for strategy", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(dynamic_ticks_oscillator_model_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(dynamic_ticks_oscillator_model_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_ema_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_ema_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.on_process).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 on_process(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast_v = float(fast_val)
slow_v = float(slow_val)
if self._prev_fast_ema == 0.0 or self._prev_slow_ema == 0.0:
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_v > slow_v and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_v < slow_v and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
def CreateClone(self):
return dynamic_ticks_oscillator_model_strategy()