Donchian Rsi Strategy
Strategy combining Donchian Channels and RSI indicators. Buys on Donchian breakouts when RSI confirms trend is not overextended.
Testing indicates an average annual return of about 55%. It performs best in the stocks market.
Donchian channels identify breakout levels, while RSI checks whether momentum supports the move. Positions follow when a breakout aligns with RSI direction.
Best for traders expecting a sustained breakout rather than a fakeout. Risk is limited through an ATR stop.
Details
- Entry Criteria:
- Long:
Close > DonchianHigh && RSI < RsiOversoldLevel - Short:
Close < DonchianLow && RSI > RsiOverboughtLevel
- Long:
- Long/Short: Both
- Exit Criteria:
- Breakout failure or opposite signal
- Stops: Percent-based using
StopLossPercent - Default Values:
DonchianPeriod= 20RsiPeriod= 14RsiOverboughtLevel= 70mRsiOversoldLevel= 30mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Breakout
- Direction: Both
- Indicators: Donchian Channel, RSI
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- 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>
/// Strategy combining manual Donchian Channels with RSI.
/// Buys on upper band breakout when RSI is not overbought.
/// Sells on lower band breakout when RSI is not oversold.
/// </summary>
public class DonchianRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _donchianPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOverboughtLevel;
private readonly StrategyParam<decimal> _rsiOversoldLevel;
private readonly StrategyParam<int> _cooldownBars;
private readonly List<decimal> _highs = new();
private readonly List<decimal> _lows = new();
private int _cooldown;
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Donchian channel period.
/// </summary>
public int DonchianPeriod
{
get => _donchianPeriod.Value;
set => _donchianPeriod.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI overbought level.
/// </summary>
public decimal RsiOverboughtLevel
{
get => _rsiOverboughtLevel.Value;
set => _rsiOverboughtLevel.Value = value;
}
/// <summary>
/// RSI oversold level.
/// </summary>
public decimal RsiOversoldLevel
{
get => _rsiOversoldLevel.Value;
set => _rsiOversoldLevel.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize strategy.
/// </summary>
public DonchianRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_donchianPeriod = Param(nameof(DonchianPeriod), 20)
.SetRange(10, 50)
.SetDisplay("Donchian Period", "Period for Donchian Channels", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetRange(7, 21)
.SetDisplay("RSI Period", "Period for RSI", "Indicators");
_rsiOverboughtLevel = Param(nameof(RsiOverboughtLevel), 70m)
.SetDisplay("RSI Overbought", "RSI overbought level", "Trading Levels");
_rsiOversoldLevel = Param(nameof(RsiOversoldLevel), 30m)
.SetDisplay("RSI Oversold", "RSI oversold level", "Trading Levels");
_cooldownBars = Param(nameof(CooldownBars), 100)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(5, 500);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_highs.Clear();
_lows.Clear();
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var rsiArea = CreateChartArea();
if (rsiArea != null)
DrawIndicator(rsiArea, rsi);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var high = candle.HighPrice;
var low = candle.LowPrice;
var close = candle.ClosePrice;
_highs.Add(high);
_lows.Add(low);
var period = DonchianPeriod;
if (_highs.Count < period + 1)
{
if (_cooldown > 0) _cooldown--;
return;
}
// Previous Donchian channel (excluding current bar)
decimal prevUpper = decimal.MinValue;
decimal prevLower = decimal.MaxValue;
var count = _highs.Count;
for (int i = count - period - 1; i < count - 1; i++)
{
if (_highs[i] > prevUpper) prevUpper = _highs[i];
if (_lows[i] < prevLower) prevLower = _lows[i];
}
var middleBand = (prevUpper + prevLower) / 2m;
// Trim lists
if (_highs.Count > period * 3)
{
var trim = _highs.Count - period * 2;
_highs.RemoveRange(0, trim);
_lows.RemoveRange(0, trim);
}
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Buy: upper breakout + RSI not overbought
if (close > prevUpper && rsiValue < RsiOverboughtLevel && Position == 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
// Sell: lower breakout + RSI not oversold
else if (close < prevLower && rsiValue > RsiOversoldLevel && Position == 0)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit long: price below middle
if (Position > 0 && close < middleBand)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit short: price above middle
else if (Position < 0 && close > middleBand)
{
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
from datatype_extensions import *
class donchian_rsi_strategy(Strategy):
"""
Strategy combining manual Donchian Channels with RSI.
"""
def __init__(self):
super(donchian_rsi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._donchian_period = self.Param("DonchianPeriod", 20) \
.SetRange(10, 50) \
.SetDisplay("Donchian Period", "Period for Donchian Channels", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetRange(7, 21) \
.SetDisplay("RSI Period", "Period for RSI", "Indicators")
self._rsi_overbought_level = self.Param("RsiOverboughtLevel", 70.0) \
.SetDisplay("RSI Overbought", "RSI overbought level", "Trading Levels")
self._rsi_oversold_level = self.Param("RsiOversoldLevel", 30.0) \
.SetDisplay("RSI Oversold", "RSI oversold level", "Trading Levels")
self._cooldown_bars = self.Param("CooldownBars", 100) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General") \
.SetRange(5, 500)
self._highs = []
self._lows = []
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(donchian_rsi_strategy, self).OnStarted2(time)
self._highs = []
self._lows = []
self._cooldown = 0
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
rsi_area = self.CreateChartArea()
if rsi_area is not None:
self.DrawIndicator(rsi_area, rsi)
def ProcessCandle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
rv = float(rsi_value)
self._highs.append(high)
self._lows.append(low)
period = self._donchian_period.Value
if len(self._highs) < period + 1:
if self._cooldown > 0:
self._cooldown -= 1
return
# Previous Donchian channel (excluding current bar)
count = len(self._highs)
prev_upper = max(self._highs[count - period - 1:count - 1])
prev_lower = min(self._lows[count - period - 1:count - 1])
middle_band = (prev_upper + prev_lower) / 2.0
# Trim lists
if len(self._highs) > period * 3:
trim = len(self._highs) - period * 2
self._highs = self._highs[trim:]
self._lows = self._lows[trim:]
if self._cooldown > 0:
self._cooldown -= 1
return
cd = self._cooldown_bars.Value
ob = self._rsi_overbought_level.Value
os_level = self._rsi_oversold_level.Value
# Buy: upper breakout + RSI not overbought
if close > prev_upper and rv < ob and self.Position == 0:
self.BuyMarket()
self._cooldown = cd
elif close < prev_lower and rv > os_level and self.Position == 0:
self.SellMarket()
self._cooldown = cd
# Exit long: price below middle
if self.Position > 0 and close < middle_band:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > middle_band:
self.BuyMarket()
self._cooldown = cd
def OnReseted(self):
super(donchian_rsi_strategy, self).OnReseted()
self._highs = []
self._lows = []
self._cooldown = 0
def CreateClone(self):
return donchian_rsi_strategy()