Estratégia CCI VWAP
A abordagem CCI VWAP tenta capturar reversões intradiárias quando o momentum e o preço se afastam do preço médio ponderado por volume. Ao observar o Índice de Canal de Commodities ao lado do nível VWAP, o sistema mede a força dos movimentos recentes em relação a um benchmark de valor justo.
Os testes indicam um retorno anual médio de aproximadamente 70%. Funciona melhor no mercado de ações.
Um setup de compra surge quando o CCI cai abaixo de CciOversold e o mercado negocia abaixo do VWAP, sinalizando que a pressão vendedora pode estar esgotada. Um short ocorre quando o CCI sobe acima de CciOverbought com o preço acima do VWAP, destacando um rally esticado vulnerável a uma correção. As posições são fechadas assim que o preço recupera o VWAP na direção oposta.
Esta estratégia é projetada para day traders que gostam de operar nos extremos mas ainda dependem de níveis objetivos para saídas. O stop-loss definido ajuda a gerenciar o risco se o momentum não reverter rapidamente à média.
Detalhes
- Critérios de entrada:
- Comprado: CCI < CciOversold && Price < VWAP (oversold below VWAP)
- Vendido: CCI > CciOverbought && Price > VWAP (overbought above VWAP)
- Comprado/Vendido: Ambos os lados.
- Critérios de saída:
- Comprado: Sair do comprado quando o preço subir acima do VWAP
- Vendido: Sair do vendido quando o preço cair abaixo do VWAP
- Stops: Sim.
- Valores padrão:
CciPeriod = 20
CciOversold = -100
CciOverbought = 100
StopLossPercent = 2
-100 e 100 são os valores padrão dos níveis de CCI citados nas regras. O mercado negocia 24 horas, por isso o VWAP da sessão reinicia a cada dia UTC e pondera o preço típico de cada candle pelo seu volume. Um sinal de entrada contra uma posição aberta a inverte.
CandleType = TimeSpan.FromMinutes(5)
- Filtros:
- Categoria: Misto
- Direção: Ambos
- Indicadores: CCI VWAP
- Stops: Sim
- Complexidade: Intermediário
- Período: Intradiário
- Sazonalidade: Não
- Redes neurais: Não
- Divergência: Não
- Nível de risco: Médio
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>
/// CCI VWAP strategy.
/// The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
/// CCI below CciOversold with a close below VWAP goes long and CCI above CciOverbought with a close above VWAP goes short,
/// reversing an opposite position. A long closes once price closes above VWAP and a short once it closes below, and a percent stop limits the loss.
/// </summary>
public class CciVwapStrategy : Strategy
{
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<decimal> _cciOversold;
private readonly StrategyParam<decimal> _cciOverbought;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
/// <summary>
/// Period of CCI.
/// </summary>
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.Value = value;
}
/// <summary>
/// CCI level for longs.
/// </summary>
public decimal CciOversold
{
get => _cciOversold.Value;
set => _cciOversold.Value = value;
}
/// <summary>
/// CCI level for shorts.
/// </summary>
public decimal CciOverbought
{
get => _cciOverbought.Value;
set => _cciOverbought.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </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 CciVwapStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "Period of CCI", "Indicators");
_cciOversold = Param(nameof(CciOversold), -100m)
.SetDisplay("CCI Oversold", "CCI level for longs", "Indicators");
_cciOverbought = Param(nameof(CciOverbought), 100m)
.SetDisplay("CCI Overbought", "CCI level for shorts", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(cci, 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);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, cci);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue cciValue)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_day != day)
{
_day = day;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
var typicalPrice = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3;
_cumulativePriceVolume += typicalPrice * candle.TotalVolume;
_cumulativeVolume += candle.TotalVolume;
if (!cciValue.IsFormed || _cumulativeVolume <= 0)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var cci = cciValue.GetValue<decimal>();
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var close = candle.ClosePrice;
if (cci < CciOversold && close < vwap && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (cci > CciOverbought && close > vwap && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close > vwap)
SellMarket(Position);
else if (Position < 0 && close < vwap)
BuyMarket(-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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import CommodityChannelIndex
from StockSharp.Algo.Strategies import Strategy
class cci_vwap_strategy(Strategy):
"""
CCI VWAP strategy.
The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
CCI below CciOversold with a close below VWAP goes long and CCI above CciOverbought with a close above VWAP goes short,
reversing an opposite position. A long closes once price closes above VWAP and a short once it closes below, and a percent stop limits the loss.
"""
def __init__(self):
super(cci_vwap_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20).SetGreaterThanZero().SetDisplay("CCI Period", "Period of CCI", "Indicators")
self._cci_oversold = self.Param("CciOversold", -100.0).SetDisplay("CCI Oversold", "CCI level for longs", "Indicators")
self._cci_overbought = self.Param("CciOverbought", 100.0).SetDisplay("CCI Overbought", "CCI level for shorts", "Indicators")
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(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._day = None
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
def OnReseted(self):
super(cci_vwap_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(cci_vwap_strategy, self).OnStarted2(time)
self._reset_state()
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(cci, 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)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, cci)
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, cci_value):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._day is None or self._day != day:
self._day = day
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
typical_price = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / Decimal(3)
self._cumulative_price_volume += typical_price * candle.TotalVolume
self._cumulative_volume += candle.TotalVolume
if not cci_value.IsFormed or self._cumulative_volume <= 0:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
cci = cci_value.GetValue[Decimal](None)
vwap = self._cumulative_price_volume / self._cumulative_volume
close = candle.ClosePrice
if cci < Decimal(self._cci_oversold.Value) and close < vwap and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif cci > Decimal(self._cci_overbought.Value) and close > vwap and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close > vwap:
self.SellMarket(self.Position)
elif self.Position < 0 and close < vwap:
self.BuyMarket(-self.Position)
def CreateClone(self):
return cci_vwap_strategy()