Big Mover Catcher Strategy
This strategy enters long when the price closes above the upper Bollinger Band and all enabled filters confirm the move. It can also go short when the price closes below the lower band. Filters include RSI, ADX, ATR, EMA trend direction and MACD. A fixed percent stop loss is applied, positions are closed when price returns to the middle band, and an optional force take profit exits on unusually large candles.
Details
- Entry Criteria:
- Long: close > upper Bollinger Band and all active filters pass.
- Short: close < lower Bollinger Band and all active filters pass.
- Long/Short: Both (configurable).
- Exit Criteria:
- Price crosses the middle Bollinger Band.
- Optional force take profit on large candles.
- Stops: Fixed percent stop loss.
- Default Values: Bollinger length = 40, stop loss = 2%, force TP threshold = 5%.
- Filters: RSI (14), ADX (28), ATR (14), EMA (350), MACD (12,26,9).
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>
/// Big Mover Catcher strategy using Bollinger Band breakout with EMA trend filter.
/// Enters long when price breaks above upper band and fast EMA > slow EMA.
/// Enters short when price breaks below lower band and fast EMA < slow EMA.
/// Exits on EMA crossover reversal.
/// </summary>
public class BigMoverCatcherStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BigMoverCatcherStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
// Buy on golden cross
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
// Sell on death cross
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
{
SellMarket();
}
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class big_mover_catcher_strategy(Strategy):
def __init__(self):
super(big_mover_catcher_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Timeframe for strategy", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def fast_ema_period(self):
return self._fast_ema_period.Value
@fast_ema_period.setter
def fast_ema_period(self, value):
self._fast_ema_period.Value = value
@property
def slow_ema_period(self):
return self._slow_ema_period.Value
@slow_ema_period.setter
def slow_ema_period(self, value):
self._slow_ema_period.Value = value
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(big_mover_catcher_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(big_mover_catcher_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ema_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_ema_value, slow_ema_value):
if candle.State != CandleStates.Finished:
return
if self._prev_fast_ema == 0 or self._prev_slow_ema == 0:
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_ema_value > slow_ema_value and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_ema_value < slow_ema_value and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
def CreateClone(self):
return big_mover_catcher_strategy()