一目均衡表 RSI 策略
该策略用一目均衡云确定整体趋势,并利用RSI寻找短期回调的机会。 在上升趋势中,当RSI自超卖区回升时买入;在下降趋势中,当RSI自超买区回落时卖出。 此方法将趋势过滤与动量振荡结合,旨在在短暂调整后跟随强势走势。 止损设在距入场价固定百分比处,防止出现更深的回撤。
测试表明年均收益约为 142%,该策略在股票市场表现最佳。
细节
- 入场条件:指标信号
- 多/空:均可
- 退出条件:止损或反向信号
- 止损:是,按百分比
- 默认值:
CandleType= 15分钟StopLossPercent= 2TenkanPeriod= 9KijunPeriod= 26SenkouSpanBPeriod= 52RsiPeriod= 14RsiOversold= 30RsiOverbought= 70 Senkou Span A高于Senkou Span B为上升趋势,低于为下降趋势。上升趋势中RSI重新上穿RsiOversold做多;下降趋势中RSI重新下穿RsiOverbought做空。相反信号反转持仓。
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:Ichimoku, RSI
- 止损:有
- 复杂度:中等
- 时间框架:日内
- 季节性:否
- 神经网络:否
- 背离:否
- 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>
/// Ichimoku RSI strategy.
/// The cloud gives the trend: Senkou Span A above Senkou Span B is an uptrend, below it a downtrend.
/// In an uptrend RSI recovering from oversold, crossing back above RsiOversold, goes long; in a downtrend RSI falling from overbought,
/// crossing back below RsiOverbought, goes short. An opposite signal reverses the position, and a percent stop limits the loss.
/// </summary>
public class IchimokuRsiStrategy : Strategy
{
private readonly StrategyParam<int> _tenkanPeriod;
private readonly StrategyParam<int> _kijunPeriod;
private readonly StrategyParam<int> _senkouSpanBPeriod;
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 decimal? _prevRsi;
/// <summary>
/// Period of Tenkan-sen.
/// </summary>
public int TenkanPeriod
{
get => _tenkanPeriod.Value;
set => _tenkanPeriod.Value = value;
}
/// <summary>
/// Period of Kijun-sen.
/// </summary>
public int KijunPeriod
{
get => _kijunPeriod.Value;
set => _kijunPeriod.Value = value;
}
/// <summary>
/// Period of Senkou Span B.
/// </summary>
public int SenkouSpanBPeriod
{
get => _senkouSpanBPeriod.Value;
set => _senkouSpanBPeriod.Value = value;
}
/// <summary>
/// Period of RSI.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI level a long recovers from.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// RSI level a short falls from.
/// </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 IchimokuRsiStrategy()
{
_tenkanPeriod = Param(nameof(TenkanPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Tenkan Period", "Period of Tenkan-sen", "Ichimoku");
_kijunPeriod = Param(nameof(KijunPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("Kijun Period", "Period of Kijun-sen", "Ichimoku");
_senkouSpanBPeriod = Param(nameof(SenkouSpanBPeriod), 52)
.SetGreaterThanZero()
.SetDisplay("Senkou Span B Period", "Period of Senkou Span B", "Ichimoku");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period of RSI", "RSI");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI level a long recovers from", "RSI");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI level a short falls from", "RSI");
_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();
_prevRsi = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevRsi = null;
var ichimoku = new Ichimoku
{
Tenkan = { Length = TenkanPeriod },
Kijun = { Length = KijunPeriod },
SenkouB = { Length = SenkouSpanBPeriod }
};
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(ichimoku, 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);
DrawIndicator(area, ichimoku);
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 ichimokuValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!rsiValue.IsFormed)
return;
var rsi = rsiValue.GetValue<decimal>();
var prevRsi = _prevRsi;
_prevRsi = rsi;
if (prevRsi is not decimal lastRsi)
return;
if (ichimokuValue is not IIchimokuValue { SenkouA: decimal senkouA, SenkouB: decimal senkouB })
return;
var signal = 0;
if (senkouA > senkouB && lastRsi < RsiOversold && rsi >= RsiOversold)
signal = 1;
else if (senkouA < senkouB && lastRsi > RsiOverbought && 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 Ichimoku, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class ichimoku_rsi_strategy(Strategy):
"""
Ichimoku RSI strategy.
The cloud gives the trend: Senkou Span A above Senkou Span B is an uptrend, below it a downtrend.
In an uptrend RSI recovering from oversold, crossing back above RsiOversold, goes long; in a downtrend RSI falling from overbought,
crossing back below RsiOverbought, goes short. An opposite signal reverses the position, and a percent stop limits the loss.
"""
def __init__(self):
super(ichimoku_rsi_strategy, self).__init__()
self._tenkan_period = self.Param("TenkanPeriod", 9).SetGreaterThanZero().SetDisplay("Tenkan Period", "Period of Tenkan-sen", "Ichimoku")
self._kijun_period = self.Param("KijunPeriod", 26).SetGreaterThanZero().SetDisplay("Kijun Period", "Period of Kijun-sen", "Ichimoku")
self._senkou_span_b_period = self.Param("SenkouSpanBPeriod", 52).SetGreaterThanZero().SetDisplay("Senkou Span B Period", "Period of Senkou Span B", "Ichimoku")
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period of RSI", "RSI")
self._rsi_oversold = self.Param("RsiOversold", 30.0).SetDisplay("RSI Oversold", "RSI level a long recovers from", "RSI")
self._rsi_overbought = self.Param("RsiOverbought", 70.0).SetDisplay("RSI Overbought", "RSI level a short falls from", "RSI")
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._prev_rsi = None
def OnReseted(self):
super(ichimoku_rsi_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(ichimoku_rsi_strategy, self).OnStarted2(time)
self._reset_state()
ichimoku = Ichimoku()
ichimoku.Tenkan.Length = self._tenkan_period.Value
ichimoku.Kijun.Length = self._kijun_period.Value
ichimoku.SenkouB.Length = self._senkou_span_b_period.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(ichimoku, 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.DrawIndicator(area, ichimoku)
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, ichimoku_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not rsi_value.IsFormed:
return
rsi = rsi_value.GetValue[Decimal](None)
prev_rsi = self._prev_rsi
self._prev_rsi = rsi
if prev_rsi is None:
return
senkou_a = ichimoku_value.SenkouA
senkou_b = ichimoku_value.SenkouB
if senkou_a is None or senkou_b is None:
return
oversold = Decimal(self._rsi_oversold.Value)
overbought = Decimal(self._rsi_overbought.Value)
signal = 0
if senkou_a > senkou_b and prev_rsi < oversold and rsi >= oversold:
signal = 1
elif senkou_a < senkou_b and prev_rsi > overbought and rsi <= overbought:
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 ichimoku_rsi_strategy()