Esta estratégia usa o Índice de Força Relativa (RSI) para identificar reversões após extremos de curto prazo. Um sinal de compra ocorre quando o RSI cruza acima do limiar de sobrevenda após permanecer abaixo dele por dois candles consecutivos. Um sinal de venda ocorre quando o RSI cruza abaixo do limiar de sobrecompra após permanecer acima dele por dois candles. A estratégia opcionalmente fecha uma posição oposta existente e opera apenas dentro de uma janela de tempo configurável.
Detalhes
Critérios de entrada:
Comprado: RSI > BuyPoint e o RSI dos dois candles anteriores < BuyPoint.
Vendido: RSI < SellPoint e o RSI dos dois candles anteriores > SellPoint.
Critérios de saída: Sinal oposto ou stop/take-profit de proteção.
Filtro de tempo: Opera apenas quando a hora de abertura do candle está entre StartHour e EndHour.
Stops: Take profit e stop loss fixos expressos em unidades de preço.
Parâmetros:
RsiPeriod – período de cálculo do RSI.
BuyPoint – nível de sobrevenda para entradas compradas.
SellPoint – nível de sobrecompra para entradas vendidas.
CloseOnOpposite – fechar a posição atual quando aparecer um sinal oposto.
StartHour / EndHour – horas de negociação.
TakeProfit / StopLoss – níveis de proteção em preço.
Este exemplo demonstra um sistema minimalista de cruzamento RSI construído com a API de alto nível do StockSharp. Pode ser usado como modelo para experimentação adicional.
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>
/// RSI-based trading strategy.
/// Buys when RSI crosses above BuyPoint, sells when RSI crosses below SellPoint.
/// </summary>
public class RsiTraderV1Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _buyPoint;
private readonly StrategyParam<decimal> _sellPoint;
private decimal _prevRsi;
private decimal _prevPrevRsi;
private bool _hasPrev;
private bool _hasPrevPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal BuyPoint { get => _buyPoint.Value; set => _buyPoint.Value = value; }
public decimal SellPoint { get => _sellPoint.Value; set => _sellPoint.Value = value; }
public RsiTraderV1Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Calculation period", "RSI");
_buyPoint = Param(nameof(BuyPoint), 30m)
.SetDisplay("Buy Threshold", "RSI level for long entry", "RSI");
_sellPoint = Param(nameof(SellPoint), 70m)
.SetDisplay("Sell Threshold", "RSI level for short entry", "RSI");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_prevPrevRsi = 0;
_hasPrev = false;
_hasPrevPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
SubscribeCandles(CandleType)
.Bind(rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevRsi = rsiValue;
_hasPrev = true;
return;
}
if (!_hasPrevPrev)
{
_prevPrevRsi = _prevRsi;
_prevRsi = rsiValue;
_hasPrevPrev = true;
return;
}
var longSignal = rsiValue > BuyPoint && _prevRsi < BuyPoint && _prevPrevRsi < BuyPoint;
var shortSignal = rsiValue < SellPoint && _prevRsi > SellPoint && _prevPrevRsi > SellPoint;
if (longSignal && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (shortSignal && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevRsi = _prevRsi;
_prevRsi = rsiValue;
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_trader_v1_strategy(Strategy):
def __init__(self):
super(rsi_trader_v1_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Calculation period", "RSI")
self._buy_point = self.Param("BuyPoint", 30.0) \
.SetDisplay("Buy Threshold", "RSI level for long entry", "RSI")
self._sell_point = self.Param("SellPoint", 70.0) \
.SetDisplay("Sell Threshold", "RSI level for short entry", "RSI")
self._prev_rsi = 0.0
self._prev_prev_rsi = 0.0
self._has_prev = False
self._has_prev_prev = False
@property
def candle_type(self):
return self._candle_type.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def buy_point(self):
return self._buy_point.Value
@property
def sell_point(self):
return self._sell_point.Value
def OnReseted(self):
super(rsi_trader_v1_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._prev_prev_rsi = 0.0
self._has_prev = False
self._has_prev_prev = False
def OnStarted2(self, time):
super(rsi_trader_v1_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
self.SubscribeCandles(self.candle_type).Bind(rsi, self.process_candle).Start()
def process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_value)
if not self._has_prev:
self._prev_rsi = rv
self._has_prev = True
return
if not self._has_prev_prev:
self._prev_prev_rsi = self._prev_rsi
self._prev_rsi = rv
self._has_prev_prev = True
return
bp = float(self.buy_point)
sp = float(self.sell_point)
long_signal = rv > bp and self._prev_rsi < bp and self._prev_prev_rsi < bp
short_signal = rv < sp and self._prev_rsi > sp and self._prev_prev_rsi > sp
if long_signal and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif short_signal and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_rsi = self._prev_rsi
self._prev_rsi = rv
def CreateClone(self):
return rsi_trader_v1_strategy()