Super Take Strategy
This strategy alternates between long and short positions and increases the take profit after each losing trade using a martingale multiplier. The stop loss is fixed while the take profit resets to the base value after a winning trade. By always flipping direction and adjusting targets after losses, the strategy attempts to recover previous drawdowns.
A new position is opened only when no position is active. The first trade is long by default. Each subsequent trade opens in the opposite direction of the last closed position.
Details
- Entry Criteria:
- Long: No active position and the last closed position was short or absent.
- Short: No active position and the last closed position was long.
- Long/Short: Both sides.
- Exit Criteria:
- Close the position when price reaches the dynamic take profit or the fixed stop loss.
- Stops: Fixed stop loss, dynamic take profit with martingale after losing trades.
- Default Values:
TakeProfit= 10StopLoss= 15MartinFactor= 1.8
- Filters:
- Category: Reversal
- Direction: Both
- Indicators: None
- Stops: Yes
- Complexity: Simple
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: High
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Alternating buy/sell strategy with martingale take profit.
/// Opens trades in opposite direction after each close,
/// enlarges take profit after losses.
/// </summary>
public class SuperTakeStrategy : Strategy
{
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _martinFactor;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
private decimal _currentTakeProfit;
private decimal _lastTakeProfitDistance;
private bool _isLong;
private bool _lastTradeWasLoss;
private bool? _lastClosedWasBuy;
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public decimal MartinFactor { get => _martinFactor.Value; set => _martinFactor.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public SuperTakeStrategy()
{
_takeProfit = Param(nameof(TakeProfit), 3000m)
.SetGreaterThanZero()
.SetDisplay("Take Profit", "Base take profit distance", "Risk");
_stopLoss = Param(nameof(StopLoss), 5000m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss", "Stop loss distance", "Risk");
_martinFactor = Param(nameof(MartinFactor), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Martingale Factor", "Multiplier after losing trade", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
_currentTakeProfit = 0;
_lastTakeProfitDistance = 0;
_isLong = false;
_lastTradeWasLoss = false;
_lastClosedWasBuy = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_lastTakeProfitDistance = TakeProfit;
SubscribeCandles(CandleType)
.Bind(ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
if (Position != 0)
{
if (_isLong)
{
var profit = candle.ClosePrice - _entryPrice;
if (profit >= _currentTakeProfit)
{
SellMarket();
_lastTradeWasLoss = false;
_lastTakeProfitDistance = _currentTakeProfit;
_lastClosedWasBuy = true;
_entryPrice = 0;
}
else if (profit <= -StopLoss)
{
SellMarket();
_lastTradeWasLoss = true;
_lastTakeProfitDistance = _currentTakeProfit;
_lastClosedWasBuy = true;
_entryPrice = 0;
}
}
else
{
var profit = _entryPrice - candle.ClosePrice;
if (profit >= _currentTakeProfit)
{
BuyMarket();
_lastTradeWasLoss = false;
_lastTakeProfitDistance = _currentTakeProfit;
_lastClosedWasBuy = false;
_entryPrice = 0;
}
else if (profit <= -StopLoss)
{
BuyMarket();
_lastTradeWasLoss = true;
_lastTakeProfitDistance = _currentTakeProfit;
_lastClosedWasBuy = false;
_entryPrice = 0;
}
}
return;
}
var openBuy = _lastClosedWasBuy is not true;
_currentTakeProfit = _lastTradeWasLoss
? _lastTakeProfitDistance * MartinFactor
: TakeProfit;
if (openBuy)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
_isLong = true;
}
else
{
SellMarket();
_entryPrice = candle.ClosePrice;
_isLong = false;
}
}
}
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.Strategies import Strategy
class super_take_strategy(Strategy):
def __init__(self):
super(super_take_strategy, self).__init__()
self._take_profit = self.Param("TakeProfit", 3000.0) \
.SetDisplay("Take Profit", "Base take profit distance", "Risk")
self._stop_loss = self.Param("StopLoss", 5000.0) \
.SetDisplay("Stop Loss", "Stop loss distance", "Risk")
self._martin_factor = self.Param("MartinFactor", 1.5) \
.SetDisplay("Martingale Factor", "Multiplier after losing trade", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._entry_price = 0.0
self._current_take_profit = 0.0
self._last_take_profit_distance = 0.0
self._is_long = False
self._last_trade_was_loss = False
self._last_closed_was_buy = None
@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
@property
def MartinFactor(self):
return self._martin_factor.Value
@MartinFactor.setter
def MartinFactor(self, value):
self._martin_factor.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(super_take_strategy, self).OnStarted2(time)
self._last_take_profit_distance = float(self.TakeProfit)
self.SubscribeCandles(self.CandleType) \
.Bind(self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
tp = float(self.TakeProfit)
sl = float(self.StopLoss)
mf = float(self.MartinFactor)
if self.Position != 0:
if self._is_long:
profit = close - self._entry_price
if profit >= self._current_take_profit:
self.SellMarket()
self._last_trade_was_loss = False
self._last_take_profit_distance = self._current_take_profit
self._last_closed_was_buy = True
self._entry_price = 0.0
elif profit <= -sl:
self.SellMarket()
self._last_trade_was_loss = True
self._last_take_profit_distance = self._current_take_profit
self._last_closed_was_buy = True
self._entry_price = 0.0
else:
profit = self._entry_price - close
if profit >= self._current_take_profit:
self.BuyMarket()
self._last_trade_was_loss = False
self._last_take_profit_distance = self._current_take_profit
self._last_closed_was_buy = False
self._entry_price = 0.0
elif profit <= -sl:
self.BuyMarket()
self._last_trade_was_loss = True
self._last_take_profit_distance = self._current_take_profit
self._last_closed_was_buy = False
self._entry_price = 0.0
return
open_buy = self._last_closed_was_buy is not True
if self._last_trade_was_loss:
self._current_take_profit = self._last_take_profit_distance * mf
else:
self._current_take_profit = tp
if open_buy:
self.BuyMarket()
self._entry_price = close
self._is_long = True
else:
self.SellMarket()
self._entry_price = close
self._is_long = False
def OnReseted(self):
super(super_take_strategy, self).OnReseted()
self._entry_price = 0.0
self._current_take_profit = 0.0
self._last_take_profit_distance = 0.0
self._is_long = False
self._last_trade_was_loss = False
self._last_closed_was_buy = None
def CreateClone(self):
return super_take_strategy()