Big Runner Strategy
The Big Runner strategy trades when the closing price and a fast SMA both cross in the direction of a slower SMA, indicating strong momentum. Position size is derived from a percentage of portfolio value multiplied by leverage. Optional stop-loss and take-profit levels manage risk.
Details
- Entry Criteria:
- Buy when close crosses above the fast SMA and the fast SMA crosses above the slow SMA.
- Sell when close crosses below the fast SMA and the fast SMA crosses below the slow SMA.
- Long/Short: Long and short.
- Exit Criteria:
- Optional stop loss and take profit based on entry price.
- Opposite signal closes existing position.
- Stops: Configurable stop loss and take profit percentages.
- Default Values:
FastLength= 5SlowLength= 20TakeProfitLongPercent= 4TakeProfitShortPercent= 7StopLossLongPercent= 2StopLossShortPercent= 2PercentOfPortfolio= 10Leverage= 1
- Filters:
- Category: Trend following
- Direction: Long & Short
- Indicators: SMA
- Stops: Yes
- Complexity: Low
- Timeframe: Any
- 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>
/// Big Runner Strategy - trades SMA crossover with stop loss and take profit.
/// </summary>
public class BigRunnerStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<decimal> _takeProfitPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BigRunnerStrategy()
{
_fastLength = Param(nameof(FastLength), 120)
.SetGreaterThanZero()
.SetDisplay("Fast Length", "Fast SMA period", "SMA");
_slowLength = Param(nameof(SlowLength), 450)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow SMA period", "SMA");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percent from entry", "Risk");
_takeProfitPercent = Param(nameof(TakeProfitPercent), 4m)
.SetGreaterThanZero()
.SetDisplay("Take Profit %", "Take profit percent from entry", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevFast = 0m;
_prevSlow = 0m;
_entryPrice = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastMa = new SimpleMovingAverage { Length = FastLength };
var slowMa = new SimpleMovingAverage { Length = SlowLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastMa, slowMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastMa);
DrawIndicator(area, slowMa);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFast == 0m || _prevSlow == 0m)
{
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
// Golden cross - buy
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
}
// Death cross - sell
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{
SellMarket();
_entryPrice = candle.ClosePrice;
}
// Stop loss / take profit for long
if (Position > 0 && _entryPrice > 0)
{
var pnlPercent = (candle.ClosePrice - _entryPrice) / _entryPrice * 100m;
if (pnlPercent <= -StopLossPercent || pnlPercent >= TakeProfitPercent)
{
SellMarket();
_entryPrice = 0m;
}
}
// Stop loss / take profit for short
else if (Position < 0 && _entryPrice > 0)
{
var pnlPercent = (_entryPrice - candle.ClosePrice) / _entryPrice * 100m;
if (pnlPercent <= -StopLossPercent || pnlPercent >= TakeProfitPercent)
{
BuyMarket();
_entryPrice = 0m;
}
}
_prevFast = fastValue;
_prevSlow = slowValue;
}
}
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 SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class big_runner_strategy(Strategy):
def __init__(self):
super(big_runner_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 120) \
.SetDisplay("Fast Length", "Fast SMA period", "SMA")
self._slow_length = self.Param("SlowLength", 450) \
.SetDisplay("Slow Length", "Slow SMA period", "SMA")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percent from entry", "Risk")
self._take_profit_percent = self.Param("TakeProfitPercent", 4.0) \
.SetDisplay("Take Profit %", "Take profit percent from entry", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def stop_loss_percent(self):
return self._stop_loss_percent.Value
@property
def take_profit_percent(self):
return self._take_profit_percent.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(big_runner_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
def OnStarted2(self, time):
super(big_runner_strategy, self).OnStarted2(time)
fast_ma = SimpleMovingAverage()
fast_ma.Length = self.fast_length
slow_ma = SimpleMovingAverage()
slow_ma.Length = self.slow_length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ma)
self.DrawIndicator(area, slow_ma)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
if self._prev_fast == 0 or self._prev_slow == 0:
self._prev_fast = float(fast_value)
self._prev_slow = float(slow_value)
return
if self._prev_fast <= self._prev_slow and fast_value > slow_value and self.Position <= 0:
self.BuyMarket()
self._entry_price = float(candle.ClosePrice)
elif self._prev_fast >= self._prev_slow and fast_value < slow_value and self.Position >= 0:
self.SellMarket()
self._entry_price = float(candle.ClosePrice)
if self.Position > 0 and self._entry_price > 0:
pnl_percent = (float(candle.ClosePrice) - self._entry_price) / self._entry_price * 100.0
if pnl_percent <= -self.stop_loss_percent or pnl_percent >= self.take_profit_percent:
self.SellMarket()
self._entry_price = 0.0
elif self.Position < 0 and self._entry_price > 0:
pnl_percent = (self._entry_price - float(candle.ClosePrice)) / self._entry_price * 100.0
if pnl_percent <= -self.stop_loss_percent or pnl_percent >= self.take_profit_percent:
self.BuyMarket()
self._entry_price = 0.0
self._prev_fast = float(fast_value)
self._prev_slow = float(slow_value)
def CreateClone(self):
return big_runner_strategy()