Live RSI 策略
使用多个 RSI 计算(close、weighted、typical、median、open)结合 Parabolic SAR 来检测趋势反转。当 RSI 数值按多头顺序排列且价格在 SAR 之上时做多;当 RSI 数值按空头顺序排列且价格在 SAR 之下时做空。SAR 值同时作为跟踪止损。
细节
- 入场条件:
- 多头:RSI 为多头顺序且价格高于 SAR。
- 空头:RSI 为空头顺序且价格低于 SAR。
- 多空方向:双向。
- 出场条件:
- 反向趋势信号或 SAR 跟踪止损。
- 止损:可选的固定止损和基于 SAR 的跟踪止损。
- 默认值:
RSI Period= 30SAR Step= 0.08Stop Loss= 40Check Hour= falseStart Hour= 17End Hour= 1Candle Type= 1 hour
- 筛选:
- 类别: Trend Following
- 方向: Long & Short
- 指标: RSI, Parabolic SAR
- 止损: 有
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 可选(时间过滤)
- 神经网络: 无
- 背离: 无
- 风险等级: 中等
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 trend reversal strategy with Parabolic SAR confirmation.
/// Buys when RSI crosses above 50 and SAR is below price.
/// Sells when RSI crosses below 50 and SAR is above price.
/// </summary>
public class LiveRSIStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrev;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public LiveRSIStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var sar = new ParabolicSar();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, sar, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsi, decimal sar)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevRsi = rsi;
_hasPrev = true;
return;
}
var close = candle.ClosePrice;
// RSI cross above 50 + SAR below price -> buy
if (_prevRsi <= 50 && rsi > 50 && sar < close)
{
if (Position < 0)
BuyMarket();
if (Position <= 0)
BuyMarket();
}
// RSI cross below 50 + SAR above price -> sell
else if (_prevRsi >= 50 && rsi < 50 && sar > close)
{
if (Position > 0)
SellMarket();
if (Position >= 0)
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
from StockSharp.Algo.Indicators import ParabolicSar, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class live_rsi_strategy(Strategy):
def __init__(self):
super(live_rsi_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Period for RSI", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_rsi = 0.0
self._has_prev = False
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(live_rsi_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(live_rsi_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
sar = ParabolicSar()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, sar, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, rsi, sar):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_rsi = rsi
self._has_prev = True
return
close = candle.ClosePrice
# RSI cross above 50 + SAR below price -> buy
if self._prev_rsi <= 50 and rsi > 50 and sar < close:
if self.Position < 0:
self.BuyMarket()
if self.Position <= 0:
self.BuyMarket()
# RSI cross below 50 + SAR above price -> sell
elif self._prev_rsi >= 50 and rsi < 50 and sar > close:
if self.Position > 0:
self.SellMarket()
if self.Position >= 0:
self.SellMarket()
self._prev_rsi = rsi
def CreateClone(self):
return live_rsi_strategy()