Hull MA Implied Volatility Breakout
Regras de negociação
HMA = WMA(2 × WMA(Close, floor(HmaPeriod/2)) − WMA(Close, HmaPeriod), floor(sqrt(HmaPeriod))). Exigem-se HMA atual e anterior formadas. A partir de zero, comprar com HMA crescente ou vender com HMA decrescente apenas quando IV observada > média anterior + IVMultiplier × σ. IV vem de opções em unidade consistente, não da amplitude de velas. A inclinação contrária fecha toda a posição mesmo sem IV extrema ou disponível. HMA igual não gera sinal.
A média e o desvio padrão amostral usam as N observações consecutivas anteriores sem a atual: σ = sqrt(Σ(x − mean)² / (N − 1)). Exige-se uma janela completa. Não há valores aleatórios nem substitutos derivados de preços.
Dados de entrada
O CSV obrigatório usa SecurityId,Time,Value. Time é a abertura UTC da vela de sinal (yyyy-MM-ddTHH:mm:ssZ). Valores observados são finitos, não negativos e únicos por instante. Usa-se somente a observação atual. Uma lacuna limpa a janela e bloqueia entradas até novo aquecimento; saídas permanecem ativas.
Parâmetros
| Parâmetro | Valor padrão |
|---|---|
HmaPeriod |
9 |
IVPeriod |
20 |
IVMultiplier |
2 |
IVHistoryFile |
obrigatório |
AtrPeriod |
14 |
StopLossAtr |
2 |
CandleType |
TimeSpan.FromMinutes(15).TimeFrame() |
Execução
AtrPeriod = 14 usa ATR de Wilder. Na entrada a partir de zero fixa-se ATR(sinal) × StopLossAtr. A proteção local nativa por ordens a mercado segue cotações, ancora a distância na execução real e pode fechar entre velas. Alterações posteriores no ATR não movem o stop. Zero desativa a proteção para uma nova execução. O sinal inverso fecha toda a posição real sem reversão ou aumento na mesma decisão.
Verificação
As execuções usam apenas o arquivo BTC/TON existente. Relatórios, observações de opções e histórico de aquecimento explícitos verificam a mecânica e não são dados reais de empresas ou opções. Janelas menores, dois grupos e março como mês anual são perfis de teste identificados, não prova dos padrões originais de longo prazo. Não se afirma rentabilidade.
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>Hull slope with observed implied volatility breakouts and frozen ATR protection.</summary>
public class HullMAWithImpliedVolatilityBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _hmaPeriod;
private readonly StrategyParam<int> _iVPeriod;
private readonly StrategyParam<decimal> _iVMultiplier;
private readonly StrategyParam<string> _iVHistoryFile;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _stopLossAtr;
private readonly StrategyParam<DataType> _candleType;
private readonly Dictionary<DateTime, decimal> _observations = [];
private readonly Queue<decimal> _history = [];
private decimal? _previousHull;
private Order _signalOrder;
/// <summary>Hull moving average length.</summary>
public int HmaPeriod { get => _hmaPeriod.Value; set => _hmaPeriod.Value = value; }
/// <summary>Prior consecutive implied volatility observations used for the threshold.</summary>
public int IVPeriod { get => _iVPeriod.Value; set => _iVPeriod.Value = value; }
/// <summary>Sample standard deviation multiplier for the IV breakout.</summary>
public decimal IVMultiplier { get => _iVMultiplier.Value; set => _iVMultiplier.Value = value; }
/// <summary>CSV observed implied volatility in a consistent unit, keyed by candle UTC open time.</summary>
public string IVHistoryFile { get => _iVHistoryFile.Value; set => _iVHistoryFile.Value = value; }
/// <summary>Wilder ATR length for entry protection.</summary>
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
/// <summary>Entry-frozen native stop distance in ATR multiples; zero disables it for a fresh run.</summary>
public decimal StopLossAtr { get => _stopLossAtr.Value; set => _stopLossAtr.Value = value; }
/// <summary>Completed signal candle type.</summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>Initialize the signal and protection parameters.</summary>
public HullMAWithImpliedVolatilityBreakoutStrategy()
{
_hmaPeriod = Param(nameof(HmaPeriod), 9).SetRange(2, 100000).SetOptimize(5, 15, 2)
.SetDisplay("HmaPeriod", "Hull moving average length", "Parameters");
_iVPeriod = Param(nameof(IVPeriod), 20).SetRange(2, 100000).SetOptimize(10, 30, 5)
.SetDisplay("IVPeriod", "Prior consecutive implied volatility observations used for the threshold", "Parameters");
_iVMultiplier = Param(nameof(IVMultiplier), 2m).SetGreaterThanZero().SetOptimize(1.5m, 3m, 0.5m)
.SetDisplay("IVMultiplier", "Sample standard deviation multiplier for the IV breakout", "Parameters");
_iVHistoryFile = Param<string>(nameof(IVHistoryFile)).SetRequired()
.SetDisplay("IVHistoryFile", "CSV observed implied volatility in a consistent unit, keyed by candle UTC open time", "Parameters");
_atrPeriod = Param(nameof(AtrPeriod), 14).SetGreaterThanZero()
.SetDisplay("AtrPeriod", "Wilder ATR length for entry protection", "Parameters");
_stopLossAtr = Param(nameof(StopLossAtr), 2m).SetRange(0m, decimal.MaxValue).SetOptimize(1m, 3m, 0.5m)
.SetDisplay("StopLossAtr", "Entry-frozen native stop distance in ATR multiples; zero disables it for a fresh run", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("CandleType", "Completed signal candle type", "Parameters");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_observations.Clear();
_history.Clear();
_previousHull = null;
_signalOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
LoadObservations();
base.OnStarted2(time);
var signal = new HullMovingAverage { Length = HmaPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(signal, atr, ProcessCandle, allowEmpty: true).Start();
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quote = new Subscription(DataType.Level1, Security);
quote.MarketData.BuildField = field;
SubscribeLevel1(quote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, signal);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue signalValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished) return;
var ready = _observations.TryGetValue(candle.OpenTime, out var observation);
var low = false;
var high = false;
if (ready && _history.Count == IVPeriod)
{
var mean = _history.Average();
var deviation = (decimal)Math.Sqrt((double)(_history.Sum(x => (x - mean) * (x - mean)) / (_history.Count - 1)));
low = observation < mean - IVMultiplier * deviation;
high = observation > mean + IVMultiplier * deviation;
}
if (!ready) _history.Clear();
else
{
_history.Enqueue(observation);
while (_history.Count > IVPeriod) _history.Dequeue();
}
if (signalValue.IsEmpty || !signalValue.IsFormed) return;
var current = signalValue.GetValue<decimal>();
var up = _previousHull is decimal previousUp && current > previousUp;
var down = _previousHull is decimal previousDown && current < previousDown;
_previousHull = current;
if (!IsFormedAndOnlineAndAllowTrading() || _signalOrder is { State: not (OrderStates.Done or OrderStates.Failed) }) return;
if ((Position > 0m && down) || (Position < 0m && up))
{
Submit(Position > 0m ? Sides.Sell : Sides.Buy, Math.Abs(Position), "0344Exit");
return;
}
if (Position != 0m || atrValue.IsEmpty || !atrValue.IsFormed) return;
var atr = atrValue.GetValue<decimal>();
if (atr <= 0m) return;
Sides? side = up && high ? Sides.Buy : down && high ? Sides.Sell : null;
if (side is null) return;
if (StopLossAtr > 0m)
StartProtection(new Unit(), new Unit(atr * StopLossAtr, UnitTypes.Absolute), useMarketOrders: true, isLocalStop: true);
Submit(side.Value, Volume, "0344Entry");
}
private void Submit(Sides side, decimal quantity, string comment)
{
_signalOrder = CreateOrder(side, 0m, quantity);
_signalOrder.Type = OrderTypes.Market;
_signalOrder.Comment = comment;
RegisterOrder(_signalOrder);
}
private void LoadObservations()
{
if (string.IsNullOrWhiteSpace(IVHistoryFile))
throw new InvalidOperationException("IVHistoryFile is required.");
_observations.Clear();
var lines = File.ReadLines(IVHistoryFile).GetEnumerator();
using (lines)
{
if (!lines.MoveNext() || lines.Current.Trim() != "SecurityId,Time,Value")
throw new InvalidOperationException("Option observations must begin with SecurityId,Time,Value.");
while (lines.MoveNext())
{
if (string.IsNullOrWhiteSpace(lines.Current)) continue;
var row = lines.Current.Split(',');
if (row.Length != 3) throw new InvalidOperationException("An option observation must have three fields.");
if (!string.Equals(row[0].Trim(), Security.Id, StringComparison.OrdinalIgnoreCase)) continue;
var time = DateTime.ParseExact(row[1].Trim(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal);
var value = decimal.Parse(row[2], CultureInfo.InvariantCulture);
if (value < 0m || !_observations.TryAdd(time, value))
throw new InvalidOperationException("Option observations must be nonnegative and unique per timestamp.");
}
}
if (_observations.Count == 0) throw new InvalidOperationException("No option observations match the execution security.");
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import DateTime, Decimal, Math, TimeSpan, InvalidOperationException
from System.Globalization import CultureInfo, DateTimeStyles
from System.IO import File
from StockSharp.Algo.Indicators import HullMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Subscription
from StockSharp.Messages import CandleStates, DataType, Level1Fields, OrderStates, OrderTypes, Sides, Unit, UnitTypes
class hull_ma_implied_volatility_breakout_strategy(Strategy):
"""Observed option statistics filter, full signal exits and frozen native ATR protection."""
def __init__(self):
super(hull_ma_implied_volatility_breakout_strategy, self).__init__()
self._hma_period = self.Param("HmaPeriod", 9).SetRange(2, 100000).SetOptimize(5, 15, 2) \
.SetDisplay("HmaPeriod", "Hull moving average length", "Parameters")
self._iv_period = self.Param("IVPeriod", 20).SetRange(2, 100000).SetOptimize(10, 30, 5) \
.SetDisplay("IVPeriod", "Prior consecutive implied volatility observations used for the threshold", "Parameters")
self._iv_multiplier = self.Param("IVMultiplier", Decimal(2)).SetGreaterThanZero().SetOptimize(Decimal(1.5), Decimal(3), Decimal(0.5)) \
.SetDisplay("IVMultiplier", "Sample standard deviation multiplier for the IV breakout", "Parameters")
self._iv_history_file = self.Param[str]("IVHistoryFile", None).SetRequired() \
.SetDisplay("IVHistoryFile", "CSV observed implied volatility in a consistent unit, keyed by candle UTC open time", "Parameters")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero() \
.SetDisplay("AtrPeriod", "Wilder ATR length for entry protection", "Parameters")
self._stop_loss_atr = self.Param("StopLossAtr", Decimal(2)).SetRange(Decimal(0), Decimal.MaxValue).SetOptimize(Decimal(1), Decimal(3), Decimal(0.5)) \
.SetDisplay("StopLossAtr", "Entry-frozen native stop distance in ATR multiples; zero disables it for a fresh run", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("CandleType", "Completed signal candle type", "Parameters")
self._observations = {}
self._history = []
self._previous_hull = None
self._signal_order = None
@property
def HmaPeriod(self):
return self._hma_period.Value
@HmaPeriod.setter
def HmaPeriod(self, value):
self._hma_period.Value = value
@property
def IVPeriod(self):
return self._iv_period.Value
@IVPeriod.setter
def IVPeriod(self, value):
self._iv_period.Value = value
@property
def IVMultiplier(self):
return self._iv_multiplier.Value
@IVMultiplier.setter
def IVMultiplier(self, value):
self._iv_multiplier.Value = value
@property
def IVHistoryFile(self):
return self._iv_history_file.Value
@IVHistoryFile.setter
def IVHistoryFile(self, value):
self._iv_history_file.Value = value
@property
def AtrPeriod(self):
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
@property
def StopLossAtr(self):
return self._stop_loss_atr.Value
@StopLossAtr.setter
def StopLossAtr(self, value):
self._stop_loss_atr.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def OnReseted(self):
super(hull_ma_implied_volatility_breakout_strategy, self).OnReseted()
self._observations = {}
self._history = []
self._previous_hull = None
self._signal_order = None
def OnStarted2(self, time):
self._load_observations()
super(hull_ma_implied_volatility_breakout_strategy, self).OnStarted2(time)
signal = HullMovingAverage()
signal.Length = self.HmaPeriod
atr = AverageTrueRange()
atr.Length = self.AtrPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(signal, atr, self._process_candle, True).Start()
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quote = Subscription(DataType.Level1, self.Security)
quote.MarketData.BuildField = field
self.SubscribeLevel1(quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, signal)
self.DrawOwnTrades(area)
def _process_candle(self, candle, signal_value, atr_value):
if candle.State != CandleStates.Finished:
return
ready = candle.OpenTime in self._observations
low = False
high = False
if ready and len(self._history) == self.IVPeriod:
observation = self._observations[candle.OpenTime]
mean = sum(self._history, Decimal(0)) / Decimal(len(self._history))
variance = sum(((v - mean) * (v - mean) for v in self._history), Decimal(0)) / Decimal(len(self._history) - 1)
deviation = Decimal(Math.Sqrt(float(variance)))
low = observation < mean - self.IVMultiplier * deviation
high = observation > mean + self.IVMultiplier * deviation
if not ready:
self._history = []
else:
self._history.append(self._observations[candle.OpenTime])
self._history = self._history[-self.IVPeriod:]
if signal_value.IsEmpty or not signal_value.IsFormed:
return
current = signal_value.GetValue[Decimal](None)
up = self._previous_hull is not None and current > self._previous_hull
down = self._previous_hull is not None and current < self._previous_hull
self._previous_hull = current
if not self.IsFormedAndOnlineAndAllowTrading() or (self._signal_order is not None and self._signal_order.State not in (OrderStates.Done, OrderStates.Failed)):
return
if (self.Position > 0 and down) or (self.Position < 0 and up):
self._submit(Sides.Sell if self.Position > 0 else Sides.Buy, abs(self.Position), "0344Exit")
return
if self.Position != 0 or atr_value.IsEmpty or not atr_value.IsFormed:
return
atr = atr_value.GetValue[Decimal](None)
if atr <= 0:
return
side = Sides.Buy if up and high else Sides.Sell if down and high else None
if side is None:
return
if self.StopLossAtr > 0:
self.StartProtection(Unit(), Unit(atr * self.StopLossAtr, UnitTypes.Absolute), useMarketOrders=True, isLocalStop=True)
self._submit(side, self.Volume, "0344Entry")
def _submit(self, side, quantity, comment):
order = self.CreateOrder(side, Decimal(0), quantity)
order.Type = OrderTypes.Market
order.Comment = comment
self._signal_order = order
self.RegisterOrder(order)
def _load_observations(self):
if not self.IVHistoryFile:
raise InvalidOperationException("IVHistoryFile is required.")
self._observations = {}
lines = iter(File.ReadLines(self.IVHistoryFile))
if next(lines, "").strip() != "SecurityId,Time,Value":
raise InvalidOperationException("Option observations must begin with SecurityId,Time,Value.")
for line in lines:
if not line.strip():
continue
row = line.split(",")
if len(row) != 3:
raise InvalidOperationException("An option observation must have three fields.")
if row[0].strip().lower() != self.Security.Id.lower():
continue
time = DateTime.ParseExact(row[1].strip(), "yyyy-MM-dd'T'HH:mm:ss'Z'", CultureInfo.InvariantCulture,
DateTimeStyles.AssumeUniversal | DateTimeStyles.AdjustToUniversal)
value = Decimal.Parse(row[2], CultureInfo.InvariantCulture)
if value < 0 or time in self._observations:
raise InvalidOperationException("Option observations must be nonnegative and unique per timestamp.")
self._observations[time] = value
if not self._observations:
raise InvalidOperationException("No option observations match the execution security.")
def CreateClone(self):
return hull_ma_implied_volatility_breakout_strategy()