Estrategia Implied Volatility Spike
Esta estrategia vigila la volatilidad implícita en busca de saltos repentinos respecto al valor anterior. Un fuerte spike combinado con un precio que opera contra la media móvil puede señalar una reversión a corto plazo.
Las pruebas indican un retorno anual promedio de aproximadamente 163%. Funciona mejor en el mercado de acciones.
Cuando la volatilidad implícita aumenta por encima del umbral configurado, el sistema entra en la dirección opuesta al movimiento del precio, esperando que la volatilidad revierta.
Las posiciones se cierran una vez que la volatilidad comienza a caer o se produce un stop-loss.
Detalles
- Criterios de entrada: IV spike por encima de
IVSpikeThresholdy precio relativo a la MA. - Largo/Corto: Ambos direcciones.
- Criterios de salida: IV disminuye o stop.
- Stops: Sí.
- Valores predeterminados:
MAPeriod= 20IVPeriod= 20IVSpikeThreshold= 1.5mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Volatilidad
- Dirección: Ambos
- Indicadores: IV, MA
- 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>
/// IV Spike strategy based on implied volatility spikes.
/// Enters long when IV increases above threshold and price is below MA,
/// or short when IV increases and price is above MA.
/// </summary>
public class IvSpikeStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _ivPeriod;
private readonly StrategyParam<decimal> _ivSpikeThreshold;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _previousIV;
private int _cooldown;
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// IV Period (for historical volatility calculation).
/// </summary>
public int IVPeriod
{
get => _ivPeriod.Value;
set => _ivPeriod.Value = value;
}
/// <summary>
/// IV Spike Threshold (minimum IV increase for signal).
/// </summary>
public decimal IVSpikeThreshold
{
get => _ivSpikeThreshold.Value;
set => _ivSpikeThreshold.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 the IV Spike strategy.
/// </summary>
public IvSpikeStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
.SetOptimize(10, 50, 10);
_ivPeriod = Param(nameof(IVPeriod), 20)
.SetDisplay("IV Period", "Period for volatility calculation", "Indicators")
.SetOptimize(10, 30, 5);
_ivSpikeThreshold = Param(nameof(IVSpikeThreshold), 1.5m)
.SetDisplay("IV Spike Threshold", "Minimum IV increase multiplier", "Entry")
.SetOptimize(1.2m, 2.0m, 0.1m);
_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();
_previousIV = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_previousIV = 0;
_cooldown = 0;
var ma = new SimpleMovingAverage { Length = MAPeriod };
var hv = new StandardDeviation { Length = IVPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, hv, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal maValue, decimal ivValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_previousIV == 0 && ivValue > 0)
{
_previousIV = ivValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_previousIV = ivValue;
return;
}
var ivChange = _previousIV > 0 ? ivValue / _previousIV : 0;
if (Position == 0 && ivChange >= IVSpikeThreshold)
{
if (candle.ClosePrice < maValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (candle.ClosePrice > maValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && ivValue < _previousIV)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && ivValue < _previousIV)
{
BuyMarket();
_cooldown = CooldownBars;
}
_previousIV = ivValue;
}
}
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, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class iv_spike_strategy(Strategy):
"""
IV Spike strategy based on implied volatility spikes.
Enters long when IV increases above threshold and price is below MA,
or short when IV increases and price is above MA.
"""
def __init__(self):
super(iv_spike_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
self._iv_period = self.Param("IVPeriod", 20).SetDisplay("IV Period", "Period for volatility calculation", "Indicators")
self._iv_spike_threshold = self.Param("IVSpikeThreshold", 1.5).SetDisplay("IV Spike Threshold", "Minimum IV increase multiplier", "Entry")
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_iv = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(iv_spike_strategy, self).OnReseted()
self._previous_iv = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(iv_spike_strategy, self).OnStarted2(time)
self._previous_iv = 0.0
self._cooldown = 0
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
hv = StandardDeviation()
hv.Length = self._iv_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, hv, 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, iv_val):
if candle.State != CandleStates.Finished:
return
iv = float(iv_val)
if self._previous_iv == 0 and iv > 0:
self._previous_iv = iv
return
if self._cooldown > 0:
self._cooldown -= 1
self._previous_iv = iv
return
iv_change = iv / self._previous_iv if self._previous_iv > 0 else 0.0
close = float(candle.ClosePrice)
mv = float(ma_val)
threshold = float(self._iv_spike_threshold.Value)
cd = self._cooldown_bars.Value
if self.Position == 0 and iv_change >= threshold:
if close < mv:
self.BuyMarket()
self._cooldown = cd
elif close > mv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and iv < self._previous_iv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and iv < self._previous_iv:
self.BuyMarket()
self._cooldown = cd
self._previous_iv = iv
def CreateClone(self):
return iv_spike_strategy()