RSI EA 策略
该策略模拟传统的 RSI 专家顾问。当 RSI 指标跨越预设水平时进行交易,并可通过止损、止盈以及可选的跟踪止损来管理风险。
策略逻辑
- 使用参数
RsiPeriod计算 RSI。 - 当 RSI 上穿
BuyLevel且当前无多头仓位时做多。 - 当 RSI 下穿
SellLevel且当前无空头仓位时做空。 - 若启用
CloseBySignal,则出现相反交叉时平掉现有仓位。 - 可通过以价格单位表示的
StopLoss、TakeProfit和TrailingStop来保护仓位。 - 使用
CandleType指定的 K 线数据运行。
参数
OpenBuy– 允许开多。OpenSell– 允许开空。CloseBySignal– 相反 RSI 信号时平仓。StopLoss– 以价格单位表示的止损。TakeProfit– 以价格单位表示的止盈。TrailingStop– 以价格单位表示的跟踪止损距离。RsiPeriod– RSI 计算长度。BuyLevel– 多头信号所需的 RSI 水平。SellLevel– 空头信号所需的 RSI 水平。CandleType– 使用的 K 线类型或时间框架。
交易量由策略的 Volume 属性控制。
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 expert advisor strategy replicating classic oversold/overbought rules.
/// Opens trades on level cross with stop loss and take profit.
/// </summary>
public class RsiEaStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _buyLevel;
private readonly StrategyParam<decimal> _sellLevel;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrevRsi;
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal BuyLevel { get => _buyLevel.Value; set => _buyLevel.Value = value; }
public decimal SellLevel { get => _sellLevel.Value; set => _sellLevel.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RsiEaStrategy()
{
_stopLoss = Param(nameof(StopLoss), 500m)
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk");
_takeProfit = Param(nameof(TakeProfit), 1000m)
.SetDisplay("Take Profit", "Take profit in price units", "Risk");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI length", "Indicator");
_buyLevel = Param(nameof(BuyLevel), 30m)
.SetDisplay("Buy Level", "RSI oversold threshold", "Indicator");
_sellLevel = Param(nameof(SellLevel), 70m)
.SetDisplay("Sell Level", "RSI overbought threshold", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = default;
_hasPrevRsi = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ProcessCandle).Start();
StartProtection(
new Unit(StopLoss, UnitTypes.Absolute),
new Unit(TakeProfit, UnitTypes.Absolute));
}
private void ProcessCandle(ICandleMessage candle, decimal rsi)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevRsi = rsi;
_hasPrevRsi = true;
return;
}
if (!_hasPrevRsi)
{
_prevRsi = rsi;
_hasPrevRsi = true;
return;
}
// RSI crosses above buy level (oversold recovery) - buy
var buyCross = rsi > BuyLevel && _prevRsi <= BuyLevel;
// RSI crosses below sell level (overbought drop) - sell
var sellCross = rsi < SellLevel && _prevRsi >= SellLevel;
if (buyCross && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (sellCross && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevRsi = rsi;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_ea_strategy(Strategy):
def __init__(self):
super(rsi_ea_strategy, self).__init__()
self._stop_loss = self.Param("StopLoss", 500.0) \
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk")
self._take_profit = self.Param("TakeProfit", 1000.0) \
.SetDisplay("Take Profit", "Take profit in price units", "Risk")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI length", "Indicator")
self._buy_level = self.Param("BuyLevel", 30.0) \
.SetDisplay("Buy Level", "RSI oversold threshold", "Indicator")
self._sell_level = self.Param("SellLevel", 70.0) \
.SetDisplay("Sell Level", "RSI overbought threshold", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_rsi = 0.0
self._has_prev_rsi = False
@property
def StopLoss(self):
return self._stop_loss.Value
@StopLoss.setter
def StopLoss(self, value):
self._stop_loss.Value = value
@property
def TakeProfit(self):
return self._take_profit.Value
@TakeProfit.setter
def TakeProfit(self, value):
self._take_profit.Value = value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.Value = value
@property
def BuyLevel(self):
return self._buy_level.Value
@BuyLevel.setter
def BuyLevel(self, value):
self._buy_level.Value = value
@property
def SellLevel(self):
return self._sell_level.Value
@SellLevel.setter
def SellLevel(self, value):
self._sell_level.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(rsi_ea_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(rsi, self.ProcessCandle) \
.Start()
self.StartProtection(
stopLoss=Unit(self.StopLoss, UnitTypes.Absolute),
takeProfit=Unit(self.TakeProfit, UnitTypes.Absolute)
)
def ProcessCandle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rsi = float(rsi_value)
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_rsi = rsi
self._has_prev_rsi = True
return
if not self._has_prev_rsi:
self._prev_rsi = rsi
self._has_prev_rsi = True
return
buy_cross = rsi > float(self.BuyLevel) and self._prev_rsi <= float(self.BuyLevel)
sell_cross = rsi < float(self.SellLevel) and self._prev_rsi >= float(self.SellLevel)
if buy_cross and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif sell_cross and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_rsi = rsi
def OnReseted(self):
super(rsi_ea_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev_rsi = False
def CreateClone(self):
return rsi_ea_strategy()