RSI Donchian Strategy
The RSI Donchian strategy looks for momentum extremes that coincide with breakouts of the Donchian Channel. The relative strength index gauges overbought and oversold conditions while the channel defines recent price highs and lows.
Testing indicates an average annual return of about 82%. It performs best in the stocks market.
A buy signal appears when the RSI is above RsiOverbought as price breaks above the Donchian upper band. A short signal forms when the RSI is below RsiOversold as price falls through the lower band. Exits occur once price moves back to the Donchian middle line, signalling a return to balance.
This method works well for active traders who like to follow strong momentum but still trade with clear breakout levels. The stop-loss helps cap risk if momentum fails to revert quickly.
Details
- Entry Criteria:
- Long: RSI > RsiOverbought && Close > Donchian High
- Short: RSI < RsiOversold && Close < Donchian Low
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit when close < Donchian Middle
- Short: Exit when close > Donchian Middle
- Stops: Yes, percentage stop-loss.
- Default Values:
RsiPeriod = 14
DonchianPeriod = 20
RsiOverbought = 70
RsiOversold = 30
StopLossPercent = 2
The channel is the high and low of the previous DonchianPeriod candles, and its middle is halfway between them. An upside breakout is confirmed when RSI is above RsiOverbought and a downside one when RSI is below RsiOversold; the opposite reading, an oversold RSI on a close above the channel, essentially never occurs. The stop is a fixed StopLossPercent of the entry price, watched between candles as well. An entry signal against an open position reverses it.
CandleType = TimeSpan.FromMinutes(15)
- Filters:
- Category: Mixed
- Direction: Both
- Indicators: RSI, Donchian Channel
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: 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 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()