Well Martin Strategy
Overview
The Well Martin strategy is a mean reversion system that combines Bollinger Bands and the Average Directional Index (ADX). It enters long positions when price breaks below the lower Bollinger Band during low trend strength, and enters short positions when price breaks above the upper Bollinger Band under the same conditions. Positions are closed when price reaches the opposite band or hits the configured take profit or stop loss levels.
Parameters
- CandleType – candle series used for calculations.
- BollingerPeriod – period for Bollinger Bands.
- BollingerWidth – standard deviation multiplier for Bollinger Bands.
- AdxPeriod – period for the ADX indicator.
- AdxLevel – ADX threshold; trades are taken only when the ADX value is below this level.
- Volume – trade volume for each entry.
- TakeProfit – profit target in price units.
- StopLoss – loss limit in price units.
Logic
- Subscribe to candle data and calculate Bollinger Bands and ADX.
- When there is no open position:
- Buy if the close price is below the lower band and ADX is below the threshold.
- Sell if the close price is above the upper band and ADX is below the threshold.
- Track the last executed trade side and allow entries only in the same direction or when no trades have been made.
- When in a long position:
- Exit if price touches the upper band, reaches the take profit, or hits the stop loss.
- When in a short position:
- Exit if price touches the lower band, reaches the take profit, or hits the stop loss.
Notes
This implementation uses a fixed trade volume. The original MQL version increased volume after a losing trade; this behaviour can be added later if required.
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>
/// Well Martin mean reversion strategy using Bollinger Bands.
/// Buys at lower band, sells at upper band.
/// </summary>
public class WellMartinStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerWidth;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private decimal _entryPrice;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int BollingerPeriod { get => _bollingerPeriod.Value; set => _bollingerPeriod.Value = value; }
public decimal BollingerWidth { get => _bollingerWidth.Value; set => _bollingerWidth.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public WellMartinStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_bollingerPeriod = Param(nameof(BollingerPeriod), 84)
.SetDisplay("Bollinger Period", "Bollinger Bands period", "Indicators");
_bollingerWidth = Param(nameof(BollingerWidth), 1.8m)
.SetDisplay("Bollinger Width", "Bollinger Bands width", "Indicators");
_takeProfit = Param(nameof(TakeProfit), 1200m)
.SetDisplay("Take Profit", "Take profit in price units", "Risk");
_stopLoss = Param(nameof(StopLoss), 1400m)
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bb = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerWidth
};
SubscribeCandles(CandleType)
.BindEx(bb, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bbValue)
{
if (candle.State != CandleStates.Finished)
return;
var bb = (IBollingerBandsValue)bbValue;
if (bb.UpBand is not decimal upper || bb.LowBand is not decimal lower)
return;
var close = candle.ClosePrice;
// Exit management
if (Position > 0)
{
var profit = close - _entryPrice;
if (close >= upper || (TakeProfit > 0 && profit >= TakeProfit) || (StopLoss > 0 && -profit >= StopLoss))
{
SellMarket();
return;
}
}
else if (Position < 0)
{
var profit = _entryPrice - close;
if (close <= lower || (TakeProfit > 0 && profit >= TakeProfit) || (StopLoss > 0 && -profit >= StopLoss))
{
BuyMarket();
return;
}
}
if (Position != 0)
return;
// Mean reversion: buy at lower band, sell at upper band
if (close < lower)
{
BuyMarket();
_entryPrice = close;
}
else if (close > upper)
{
SellMarket();
_entryPrice = close;
}
}
}
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 BollingerBands
from StockSharp.Algo.Strategies import Strategy
class well_martin_strategy(Strategy):
def __init__(self):
super(well_martin_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._bollinger_period = self.Param("BollingerPeriod", 84) \
.SetDisplay("Bollinger Period", "Bollinger Bands period", "Indicators")
self._bollinger_width = self.Param("BollingerWidth", 1.8) \
.SetDisplay("Bollinger Width", "Bollinger Bands width", "Indicators")
self._take_profit = self.Param("TakeProfit", 1200.0) \
.SetDisplay("Take Profit", "Take profit in price units", "Risk")
self._stop_loss = self.Param("StopLoss", 1400.0) \
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk")
self._entry_price = 0.0
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def BollingerPeriod(self):
return self._bollinger_period.Value
@BollingerPeriod.setter
def BollingerPeriod(self, value):
self._bollinger_period.Value = value
@property
def BollingerWidth(self):
return self._bollinger_width.Value
@BollingerWidth.setter
def BollingerWidth(self, value):
self._bollinger_width.Value = value
@property
def TakeProfit(self):
return self._take_profit.Value
@TakeProfit.setter
def TakeProfit(self, value):
self._take_profit.Value = value
@property
def StopLoss(self):
return self._stop_loss.Value
@StopLoss.setter
def StopLoss(self, value):
self._stop_loss.Value = value
def OnStarted2(self, time):
super(well_martin_strategy, self).OnStarted2(time)
bb = BollingerBands()
bb.Length = self.BollingerPeriod
bb.Width = self.BollingerWidth
self.SubscribeCandles(self.CandleType) \
.BindEx(bb, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, bb_value):
if candle.State != CandleStates.Finished:
return
upper_raw = bb_value.UpBand
lower_raw = bb_value.LowBand
if upper_raw is None or lower_raw is None:
return
upper = float(upper_raw)
lower = float(lower_raw)
close = float(candle.ClosePrice)
tp = float(self.TakeProfit)
sl = float(self.StopLoss)
if self.Position > 0:
profit = close - self._entry_price
if close >= upper or (tp > 0 and profit >= tp) or (sl > 0 and -profit >= sl):
self.SellMarket()
return
elif self.Position < 0:
profit = self._entry_price - close
if close <= lower or (tp > 0 and profit >= tp) or (sl > 0 and -profit >= sl):
self.BuyMarket()
return
if self.Position != 0:
return
if close < lower:
self.BuyMarket()
self._entry_price = close
elif close > upper:
self.SellMarket()
self._entry_price = close
def OnReseted(self):
super(well_martin_strategy, self).OnReseted()
self._entry_price = 0.0
def CreateClone(self):
return well_martin_strategy()