RSI Donchian 策略
本策略结合RSI与唐奇安通道,寻找动量极端并配合通道突破。当RSI高于RsiOverbought且价格突破上轨时做多;当RSI低于RsiOversold且价格跌破下轨时做空。价格回到中轨时离场。
测试表明年均收益约为 82%,该策略在股票市场表现最佳。
适合喜欢顺应强劲动量并依赖明确突破水平的主动交易者。止损用于防止动量未能及时回撤时的风险。
细节
- 入场条件:
- 多头:
RSI > RsiOverbought && Price > Donchian Upper - 空头:
RSI < RsiOversold && Price < Donchian Lower
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: 收盘价跌破唐奇安中轨
- 空头: 收盘价升破唐奇安中轨
- 止损: 百分比止损
- 默认值:
RsiPeriod= 14DonchianPeriod= 20RsiOverbought= 70RsiOversold= 30StopLossPercent= 2 通道为之前DonchianPeriod根K线的最高价和最低价,中轨位于两者正中。RSI高于RsiOverbought时确认向上突破,低于RsiOversold时确认向下突破;相反的读法,即收盘价高于通道时RSI处于超卖,实际上几乎不会出现。止损为入场价的固定StopLossPercent百分比,在K线之间同样监控。与持仓方向相反的入场信号会反转持仓。CandleType= TimeSpan.FromMinutes(15)
- 过滤器:
- 类别: Mixed
- 方向: 双向
- 指标: RSI, Donchian Channel
- 止损: 是
- 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>
/// RSI Donchian strategy.
/// The channel spans the highest high and lowest low of the previous DonchianPeriod candles. A close above it with RSI above RsiOverbought
/// confirms momentum and goes long, a close below it with RSI below RsiOversold goes short, reversing an opposite position. A long closes
/// when price falls below the channel middle and a short when it rises above it, and a percent stop limits the loss.
/// </summary>
public class RsiDonchianStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _donchianPeriod;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevUpper;
private decimal? _prevLower;
/// <summary>
/// Period of RSI.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Previous candles the channel spans.
/// </summary>
public int DonchianPeriod
{
get => _donchianPeriod.Value;
set => _donchianPeriod.Value = value;
}
/// <summary>
/// RSI level that confirms an upside breakout.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
/// <summary>
/// RSI level that confirms a downside breakout.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.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 RsiDonchianStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period of RSI", "Indicators");
_donchianPeriod = Param(nameof(DonchianPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Donchian Period", "Previous candles the channel spans", "Indicators");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI level that confirms an upside breakout", "Indicators");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI level that confirms a downside breakout", "Indicators");
_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();
_prevUpper = null;
_prevLower = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevUpper = null;
_prevLower = null;
var donchian = new DonchianChannels { Length = DonchianPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(donchian, 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, donchian);
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 donchianValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
// The channel is measured on the candles before this one.
var upper = _prevUpper;
var lower = _prevLower;
if (donchianValue.IsFormed && donchianValue is IDonchianChannelsValue { UpperBand: decimal currentUpper, LowerBand: decimal currentLower })
{
_prevUpper = currentUpper;
_prevLower = currentLower;
}
if (!rsiValue.IsFormed || upper is not decimal channelHigh || lower is not decimal channelLow)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var rsi = rsiValue.GetValue<decimal>();
var close = candle.ClosePrice;
var middle = (channelHigh + channelLow) / 2;
if (close > channelHigh && rsi > RsiOverbought && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close < channelLow && rsi < RsiOversold && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close < middle)
SellMarket(Position);
else if (Position < 0 && close > middle)
BuyMarket(-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 DonchianChannels, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_donchian_strategy(Strategy):
"""
RSI Donchian strategy.
The channel spans the highest high and lowest low of the previous DonchianPeriod candles. A close above it with RSI above RsiOverbought
confirms momentum and goes long, a close below it with RSI below RsiOversold goes short, reversing an opposite position. A long closes
when price falls below the channel middle and a short when it rises above it, and a percent stop limits the loss.
"""
def __init__(self):
super(rsi_donchian_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period of RSI", "Indicators")
self._donchian_period = self.Param("DonchianPeriod", 20).SetGreaterThanZero().SetDisplay("Donchian Period", "Previous candles the channel spans", "Indicators")
self._rsi_overbought = self.Param("RsiOverbought", 70.0).SetDisplay("RSI Overbought", "RSI level that confirms an upside breakout", "Indicators")
self._rsi_oversold = self.Param("RsiOversold", 30.0).SetDisplay("RSI Oversold", "RSI level that confirms a downside breakout", "Indicators")
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_upper = None
self._prev_lower = None
def OnReseted(self):
super(rsi_donchian_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(rsi_donchian_strategy, self).OnStarted2(time)
self._reset_state()
donchian = DonchianChannels()
donchian.Length = self._donchian_period.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(donchian, 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, donchian)
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, donchian_value, rsi_value):
if candle.State != CandleStates.Finished:
return
# The channel is measured on the candles before this one.
upper = self._prev_upper
lower = self._prev_lower
if donchian_value.IsFormed and donchian_value.UpperBand is not None and donchian_value.LowerBand is not None:
self._prev_upper = donchian_value.UpperBand
self._prev_lower = donchian_value.LowerBand
if not rsi_value.IsFormed or upper is None or lower is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
rsi = rsi_value.GetValue[Decimal](None)
close = candle.ClosePrice
middle = (upper + lower) / Decimal(2)
if close > upper and rsi > Decimal(self._rsi_overbought.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close < lower and rsi < Decimal(self._rsi_oversold.Value) and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close < middle:
self.SellMarket(self.Position)
elif self.Position < 0 and close > middle:
self.BuyMarket(-self.Position)
def CreateClone(self):
return rsi_donchian_strategy()