Estratégia VWAP RSI
VWAP RSI usa o preço médio ponderado por volume para avaliar o valor justo durante a sessão enquanto o RSI mostra extremos de momentum. As operações são realizadas quando o preço se distancia do VWAP e o RSI atinge níveis de sobrecompra ou sobrevenda.
Os testes indicam um retorno anual médio de aproximadamente 157%. Funciona melhor no mercado de criptomoedas.
A expectativa é que o preço reverta em direção ao VWAP assim que o momentum esfriar.
Um stop percentual protege contra tendências que continuam a afastar o preço do VWAP.
Detalhes
- Critérios de entrada: sinal de indicador
- Comprado/Vendido: Ambos
- Critérios de saída: stop-loss ou sinal oposto
- Stops: Sim, baseado em percentual
- Valores padrão:
CandleType= 15 minuteStopLossPercent= 2RsiPeriod= 14RsiOversold= 30RsiOverbought= 70 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 fechamento abaixo do VWAP com RSI abaixo de RsiOversold abre uma compra; um fechamento acima do VWAP com RSI acima de RsiOverbought abre uma venda. Um sinal oposto inverte a posição.
- Filtros:
- Categoria: Seguidor de tendência
- Direção: Ambos
- Indicadores: VWAP, RSI
- 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>
/// VWAP RSI 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 RSI below RsiOversold goes long and a close above VWAP with RSI above RsiOverbought goes short,
/// expecting the price to revert toward VWAP. An opposite signal reverses the position, and a percent stop limits the loss.
/// </summary>
public class VwapRsiStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
/// <summary>
/// Period of RSI.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI level for longs below VWAP.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// RSI level for shorts above VWAP.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.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 VwapRsiStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period of RSI", "Indicators");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI level for longs below VWAP", "Indicators");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI level for shorts above VWAP", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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 rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(rsi, 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, rsi);
}
}
}
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 rsiValue)
{
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 (!rsiValue.IsFormed || _cumulativeVolume <= 0)
return;
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var rsi = rsiValue.GetValue<decimal>();
var close = candle.ClosePrice;
var signal = 0;
if (close < vwap && rsi < RsiOversold)
signal = 1;
else if (close > vwap && rsi > RsiOverbought)
signal = -1;
if (signal == 0 || !IsFormedAndOnlineAndAllowTrading())
return;
if (signal > 0 && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (signal < 0 && Position >= 0)
SellMarket(Volume + Math.Abs(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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class vwap_rsi_strategy(Strategy):
"""
VWAP RSI 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 RSI below RsiOversold goes long and a close above VWAP with RSI above RsiOverbought goes short,
expecting the price to revert toward VWAP. An opposite signal reverses the position, and a percent stop limits the loss.
"""
def __init__(self):
super(vwap_rsi_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period of RSI", "Indicators")
self._rsi_oversold = self.Param("RsiOversold", 30.0).SetDisplay("RSI Oversold", "RSI level for longs below VWAP", "Indicators")
self._rsi_overbought = self.Param("RsiOverbought", 70.0).SetDisplay("RSI Overbought", "RSI level for shorts above VWAP", "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(15))).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_rsi_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(vwap_rsi_strategy, self).OnStarted2(time)
self._reset_state()
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(rsi, 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, rsi)
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, rsi_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 rsi_value.IsFormed or self._cumulative_volume <= 0:
return
vwap = self._cumulative_price_volume / self._cumulative_volume
rsi = rsi_value.GetValue[Decimal](None)
close = candle.ClosePrice
signal = 0
if close < vwap and rsi < Decimal(self._rsi_oversold.Value):
signal = 1
elif close > vwap and rsi > Decimal(self._rsi_overbought.Value):
signal = -1
if signal == 0 or not self.IsFormedAndOnlineAndAllowTrading():
return
if signal > 0 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif signal < 0 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
def CreateClone(self):
return vwap_rsi_strategy()