Donchian Channel Reversal Strategy
Donchian Channels mark recent highs and lows over a chosen period. Prices that pierce those boundaries and then reverse can signal exhaustion. This strategy watches for closes back inside the channel after a brief breakout.
Testing indicates an average annual return of about 157%. It performs best in the crypto market.
If the previous close was below the lower band and the current close moves back above it, a long trade is taken. Conversely, if the prior close was above the upper band and price falls back inside, a short is opened. A percentage stop manages risk in both cases.
By trading only after a failed breakout this approach attempts to capture false moves that quickly retrace.
Details
- Entry Criteria: Price closes back inside Donchian Channel after breaching upper or lower band.
- Long/Short: Both.
- Exit Criteria: Stop-loss.
- Stops: Yes, percentage based.
- Default Values:
Period= 20StopLossPercent= 2CandleType= 15 minute
- Filters:
- Category: Reversal
- Direction: Both
- Indicators: Donchian Channel
- Stops: Yes
- Complexity: Basic
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Medium
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Donchian Reversal strategy.
/// A breakout is a close beyond the channel of the Period candles before it. When the next close returns above the lower band
/// that was broken the position turns long, and when it returns below a broken upper band it turns short. A percent stop limits the loss.
/// </summary>
public class DonchianReversalStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<(decimal High, decimal Low)> _candles = [];
// The previous close and the channel it was compared with.
private (decimal Close, decimal Upper, decimal Lower)? _previous;
/// <summary>
/// Donchian Channel period.
/// </summary>
public int Period
{
get => _period.Value;
set => _period.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </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 DonchianReversalStrategy()
{
_period = Param(nameof(Period), 20)
.SetGreaterThanZero()
.SetDisplay("Period", "Donchian Channel period", "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();
_candles.Clear();
_previous = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_previous = null;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(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);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
var previous = _previous;
// The channel of the candles before this one, for the next candle to compare with.
_previous = _candles.Count == Period
? (close, _candles.Max(c => c.High), _candles.Min(c => c.Low))
: null;
_candles.Add((candle.HighPrice, candle.LowPrice));
if (_candles.Count > Period)
_candles.RemoveAt(0);
if (previous is not { } prior || !IsFormedAndOnlineAndAllowTrading())
return;
if (prior.Close < prior.Lower && close > prior.Lower && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (prior.Close > prior.Upper && close < prior.Upper && 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, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Strategies import Strategy
class donchian_reversal_strategy(Strategy):
"""
Donchian Reversal strategy.
A breakout is a close beyond the channel of the Period candles before it. When the next close returns above the lower band
that was broken the position turns long, and when it returns below a broken upper band it turns short. A percent stop limits the loss.
"""
def __init__(self):
super(donchian_reversal_strategy, self).__init__()
self._period = self.Param("Period", 20).SetGreaterThanZero().SetDisplay("Period", "Donchian Channel period", "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._candles = []
# The previous close and the channel it was compared with.
self._previous = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(donchian_reversal_strategy, self).OnReseted()
self._candles = []
self._previous = None
def OnStarted2(self, time):
super(donchian_reversal_strategy, self).OnStarted2(time)
self._candles = []
self._previous = None
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(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.DrawOwnTrades(area)
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):
if candle.State != CandleStates.Finished:
return
close = candle.ClosePrice
previous = self._previous
period = self._period.Value
# The channel of the candles before this one, for the next candle to compare with.
if len(self._candles) == period:
self._previous = (close, max(c[0] for c in self._candles), min(c[1] for c in self._candles))
else:
self._previous = None
self._candles.append((candle.HighPrice, candle.LowPrice))
if len(self._candles) > period:
self._candles.pop(0)
if previous is None or not self.IsFormedAndOnlineAndAllowTrading():
return
prior_close, prior_upper, prior_lower = previous
if prior_close < prior_lower and close > prior_lower and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif prior_close > prior_upper and close < prior_upper and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
def CreateClone(self):
return donchian_reversal_strategy()