Day Trading Strategy with Risk Management
This strategy enters long when the fast EMA crosses above the slow EMA while RSI is below the overbought level. It enters short when the fast EMA crosses below the slow EMA while RSI is above the oversold level. Risk management uses fixed take profit and stop loss percentages.
Parameters
- Candle Type
- Fast EMA length
- Slow EMA length
- RSI length
- RSI Overbought
- RSI Oversold
- Take profit percent
- Stop loss percent
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>
/// DayTradingStrategy using EMA crossover for trend timing.
/// Enters long on golden cross, short on death cross.
/// </summary>
public class DayTradingStrategy : 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 DayTradingStrategy()
{
_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", "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();
_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;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
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 day_trading_strategy(Strategy):
"""
Day Trading Risk Management strategy using EMA crossover.
Enters long on golden cross, short on death cross.
"""
def __init__(self):
super(day_trading_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", "Candle type for strategy", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(day_trading_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_ema_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_ema_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.on_process).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 on_process(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast_v = float(fast_val)
slow_v = float(slow_val)
if self._prev_fast_ema == 0.0 or self._prev_slow_ema == 0.0:
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_v > slow_v and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_v < slow_v and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
def CreateClone(self):
return day_trading_strategy()