RSI超买超卖 (RSI Overbought/Oversold)
当RSI跌破超卖水平时买入, 升破超买水平时卖出。
测试表明年均收益约为 61%,该策略在加密市场表现最佳。
RSI回到中性区或止损则退出。
详情
- 入场条件: RSI below
OversoldLevelor aboveOverboughtLevel. - 多空方向: Both directions.
- 出场条件: RSI crosses
NeutralLevelor stop. - 止损: Yes.
- 默认值:
RsiPeriod= 14OverboughtLevel= 70OversoldLevel= 30NeutralLevel= 50CandleType= TimeSpan.FromMinutes(5)StopLossPercent= 2.0m
- 过滤器:
- 类别: Oscillator
- 方向: Both
- 指标: RSI
- 止损: Yes
- 复杂度: Basic
- 时间框架: Intraday
- 季节性: No
- 神经网络: No
- 背离: Yes
- 风险等级: Medium
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 Overbought/Oversold strategy.
/// Buys when RSI is oversold, sells when RSI is overbought.
/// </summary>
public class RsiOverboughtOversoldStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _overboughtLevel;
private readonly StrategyParam<int> _oversoldLevel;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
/// <summary>
/// RSI calculation period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI level considered overbought.
/// </summary>
public int OverboughtLevel
{
get => _overboughtLevel.Value;
set => _overboughtLevel.Value = value;
}
/// <summary>
/// RSI level considered oversold.
/// </summary>
public int OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// Type of candles to use.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="RsiOverboughtOversoldStrategy"/>.
/// </summary>
public RsiOverboughtOversoldStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetRange(5, 30)
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators");
_overboughtLevel = Param(nameof(OverboughtLevel), 70)
.SetRange(60, 80)
.SetDisplay("Overbought Level", "RSI overbought threshold", "Indicators");
_oversoldLevel = Param(nameof(OversoldLevel), 30)
.SetRange(20, 40)
.SetDisplay("Oversold Level", "RSI oversold threshold", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cooldown = 0;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
if (Position == 0 && rsiValue <= OversoldLevel)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && rsiValue >= OverboughtLevel)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && rsiValue >= OverboughtLevel)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && rsiValue <= OversoldLevel)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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_overbought_oversold_strategy(Strategy):
"""
RSI Overbought/Oversold strategy.
Buys when RSI is oversold, sells when RSI is overbought.
"""
def __init__(self):
super(rsi_overbought_oversold_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._overbought_level = self.Param("OverboughtLevel", 70).SetDisplay("Overbought Level", "RSI overbought threshold", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 30).SetDisplay("Oversold Level", "RSI oversold threshold", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_overbought_oversold_strategy, self).OnReseted()
self._cooldown = 0
def OnStarted2(self, time):
super(rsi_overbought_oversold_strategy, self).OnStarted2(time)
self._cooldown = 0
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def _process_candle(self, candle, rsi_val):
if candle.State != CandleStates.Finished:
return
if self._cooldown > 0:
self._cooldown -= 1
return
rv = float(rsi_val)
ob = self._overbought_level.Value
os_level = self._oversold_level.Value
cd = self._cooldown_bars.Value
if self.Position == 0 and rv <= os_level:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and rv >= ob:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and rv >= ob:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and rv <= os_level:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return rsi_overbought_oversold_strategy()