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 dips below 30 and price breaks above the Donchian upper band. A short signal forms when the RSI rises above 70 and 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 fade exhaustion moves but still trade with clear breakout levels. The stop-loss helps cap risk if momentum fails to revert quickly.
Details
- Entry Criteria:
- Long: RSI < 30 && Close > Donchian High
- Short: RSI > 70 && 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= 14DonchianPeriod= 20StopLossPercent= 2mCandleType= 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.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on RSI and Donchian Channel indicators.
/// Enters long when RSI is below 30 (oversold) and price breaks above Donchian high.
/// Enters short when RSI is above 70 (overbought) and price breaks below Donchian low.
/// Uses middle line of Donchian Channel for exit signals.
/// </summary>
public class RsiDonchianStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _donchianPeriod;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private RelativeStrengthIndex _rsi;
private Highest _highestHigh;
private Lowest _lowestLow;
private decimal _previousRsi;
private decimal _donchianHigh;
private decimal _donchianLow;
private decimal _donchianMiddle;
private decimal _currentRsi;
private int _cooldown;
/// <summary>
/// RSI period parameter.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Donchian Channel period parameter.
/// </summary>
public int DonchianPeriod
{
get => _donchianPeriod.Value;
set => _donchianPeriod.Value = value;
}
/// <summary>
/// Bars to wait between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Stop-loss percentage parameter.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type parameter.
/// </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 for RSI calculation", "Indicators")
.SetOptimize(10, 20, 2);
_donchianPeriod = Param(nameof(DonchianPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Donchian Period", "Period for Donchian Channel calculation", "Indicators")
.SetOptimize(10, 30, 5);
_cooldownBars = Param(nameof(CooldownBars), 80)
.SetRange(1, 200)
.SetDisplay("Cooldown Bars", "Bars between trades", "General");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop-loss %", "Stop-loss as percentage of entry price", "Risk Management")
.SetOptimize(1m, 3m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_rsi = null;
_highestHigh = null;
_lowestLow = null;
_previousRsi = 0;
_donchianHigh = 0;
_donchianLow = 0;
_donchianMiddle = 0;
_currentRsi = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Initialize indicators
_rsi = new RelativeStrengthIndex
{
Length = RsiPeriod
};
_highestHigh = new Highest
{
Length = DonchianPeriod
};
_lowestLow = new Lowest
{
Length = DonchianPeriod
};
// Create candles subscription
var subscription = SubscribeCandles(CandleType);
// Bind indicators
subscription
.Bind(_rsi, _highestHigh, _lowestLow, ProcessIndicators)
.Start();
// Setup chart if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _rsi);
DrawOwnTrades(area);
}
}
private void ProcessIndicators(ICandleMessage candle, decimal rsiValue, decimal highestValue, decimal lowestValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Save previous RSI value
_previousRsi = _currentRsi;
// Get current RSI value
_currentRsi = rsiValue;
// Update Donchian high value
_donchianHigh = highestValue;
// Update Donchian low value
_donchianLow = lowestValue;
// Calculate Donchian middle line
_donchianMiddle = (_donchianHigh + _donchianLow) / 2;
// Process trading logic after all indicators are updated
ProcessTradingLogic(candle);
}
private void ProcessTradingLogic(ICandleMessage candle)
{
// Skip if not all indicators are initialized
if (_donchianHigh == 0 || _donchianLow == 0 || _currentRsi == 0)
return;
// Trading signals
bool isRsiOversold = _currentRsi < 30;
bool isRsiOverbought = _currentRsi > 70;
bool isAtLowerBand = candle.ClosePrice <= _donchianLow * 1.001m;
bool isAtUpperBand = candle.ClosePrice >= _donchianHigh * 0.999m;
if (_cooldown > 0)
_cooldown--;
// Long signal: RSI < 30 (oversold) and price near Donchian low
if (_cooldown == 0 && isRsiOversold && isAtLowerBand)
{
if (Position <= 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
// Short signal: RSI > 70 (overbought) and price near Donchian high
else if (_cooldown == 0 && isRsiOverbought && isAtUpperBand)
{
if (Position >= 0)
{
SellMarket();
_cooldown = CooldownBars;
}
}
// Exit signals based on Donchian middle line
else if ((Position > 0 && candle.ClosePrice < _donchianMiddle) ||
(Position < 0 && candle.ClosePrice > _donchianMiddle))
{
if (Position > 0)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0)
{
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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex, Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class rsi_donchian_strategy(Strategy):
"""
Strategy based on RSI and Donchian Channel indicators.
"""
def __init__(self):
super(rsi_donchian_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._donchian_period = self.Param("DonchianPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Donchian Period", "Period for Donchian Channel calculation", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 80) \
.SetRange(1, 200) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop-loss %", "Stop-loss as percentage of entry price", "Risk Management")
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._previous_rsi = 0.0
self._donchian_high = 0.0
self._donchian_low = 0.0
self._donchian_middle = 0.0
self._current_rsi = 0.0
self._cooldown = 0
@property
def CandleType(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_donchian_strategy, self).OnReseted()
self._previous_rsi = 0.0
self._donchian_high = 0.0
self._donchian_low = 0.0
self._donchian_middle = 0.0
self._current_rsi = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(rsi_donchian_strategy, self).OnStarted2(time)
self._previous_rsi = 0.0
self._donchian_high = 0.0
self._donchian_low = 0.0
self._donchian_middle = 0.0
self._current_rsi = 0.0
self._cooldown = 0
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
highest = Highest()
highest.Length = self._donchian_period.Value
lowest = Lowest()
lowest.Length = self._donchian_period.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, highest, lowest, self.ProcessIndicators).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def ProcessIndicators(self, candle, rsi_value, highest_value, lowest_value):
if candle.State != CandleStates.Finished:
return
self._previous_rsi = self._current_rsi
self._current_rsi = float(rsi_value)
self._donchian_high = float(highest_value)
self._donchian_low = float(lowest_value)
self._donchian_middle = (self._donchian_high + self._donchian_low) / 2.0
if self._donchian_high == 0 or self._donchian_low == 0 or self._current_rsi == 0:
return
price = float(candle.ClosePrice)
is_rsi_oversold = self._current_rsi < 30
is_rsi_overbought = self._current_rsi > 70
is_at_lower = price <= self._donchian_low * 1.001
is_at_upper = price >= self._donchian_high * 0.999
if self._cooldown > 0:
self._cooldown -= 1
cooldown_val = int(self._cooldown_bars.Value)
if self._cooldown == 0 and is_rsi_oversold and is_at_lower:
if self.Position <= 0:
self.BuyMarket()
self._cooldown = cooldown_val
elif self._cooldown == 0 and is_rsi_overbought and is_at_upper:
if self.Position >= 0:
self.SellMarket()
self._cooldown = cooldown_val
elif (self.Position > 0 and price < self._donchian_middle) or \
(self.Position < 0 and price > self._donchian_middle):
if self.Position > 0:
self.SellMarket()
self._cooldown = cooldown_val
elif self.Position < 0:
self.BuyMarket()
self._cooldown = cooldown_val
def CreateClone(self):
return rsi_donchian_strategy()