Estratégia Vwap Cci
Implementação da estratégia - VWAP + CCI. Compra quando o preço está abaixo do VWAP e o CCI está abaixo de -100 (sobrevendido). Vende quando o preço está acima do VWAP e o CCI está acima de 100 (sobrecomprado).
Os testes indicam um retorno anual médio de aproximadamente 82%. Funciona melhor no mercado de ações.
O VWAP atua como referência de valor, e o CCI destaca movimentos de momentum que se afastam dele. As entradas favorecem leituras fortes do CCI em relação ao VWAP.
Projetado para traders intradiários que se concentram na interação com o VWAP. Um stop percentual ajuda a manter a disciplina.
Detalhes
- Critérios de entrada:
- Comprado:
Close < VWAP && CCI < CciOversold - Vendido:
Close > VWAP && CCI > CciOverbought
- Comprado:
- Comprado/Vendido: Ambos
- Critérios de saída:
- O preço cruza de volta pelo VWAP
- Stops: Baseados em porcentagem usando
StopLossPercent - Valores padrão:
CciPeriod= 20CciOversold= -100mCciOverbought= 100mStopLossPercent= 2CandleType= TimeSpan.FromMinutes(5).TimeFrame() 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.
- Filtros:
- Categoria: Reversão à média
- Direção: Ambos
- Indicadores: VWAP, CCI
- Stops: Sim
- Complexidade: Intermediário
- Período: Médio prazo
- 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>
/// VWAP CCI 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.
/// A close below VWAP with CCI below CciOversold goes long and a close above VWAP with CCI above CciOverbought goes short, reversing
/// an opposite position. A long closes when price crosses back above VWAP and a short when it crosses back below,
/// and a percent stop limits the loss.
/// </summary>
public class VwapCciStrategy : 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 VwapCciStrategy()
{
_cciPeriod = Param(nameof(CciPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "Period of CCI", "CCI");
_cciOversold = Param(nameof(CciOversold), -100m)
.SetDisplay("CCI Oversold", "CCI level for longs", "CCI");
_cciOverbought = Param(nameof(CciOverbought), 100m)
.SetDisplay("CCI Overbought", "CCI level for shorts", "CCI");
_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 vwap = _cumulativePriceVolume / _cumulativeVolume;
var cci = cciValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (close < vwap && cci < CciOversold && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close > vwap && cci > CciOverbought && 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 vwap_cci_strategy(Strategy):
"""
VWAP CCI 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.
A close below VWAP with CCI below CciOversold goes long and a close above VWAP with CCI above CciOverbought goes short, reversing
an opposite position. A long closes when price crosses back above VWAP and a short when it crosses back below,
and a percent stop limits the loss.
"""
def __init__(self):
super(vwap_cci_strategy, self).__init__()
self._cci_period = self.Param("CciPeriod", 20).SetGreaterThanZero().SetDisplay("CCI Period", "Period of CCI", "CCI")
self._cci_oversold = self.Param("CciOversold", -100.0).SetDisplay("CCI Oversold", "CCI level for longs", "CCI")
self._cci_overbought = self.Param("CciOverbought", 100.0).SetDisplay("CCI Overbought", "CCI level for shorts", "CCI")
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(vwap_cci_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(vwap_cci_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
vwap = self._cumulative_price_volume / self._cumulative_volume
cci = cci_value.GetValue[Decimal](None)
close = candle.ClosePrice
if close < vwap and cci < Decimal(self._cci_oversold.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close > vwap and cci > Decimal(self._cci_overbought.Value) 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 vwap_cci_strategy()