Scalping EA Strategy
A simple scalping system that constantly maintains two pending orders: a buy stop above the market and a sell stop below. When the market price moves too close to an order or too far away, the order is replaced to keep a fixed distance from current price. Filled orders use fixed take-profit and stop-loss offsets.
The strategy does not rely on indicators and reacts only to tick price changes.
Details
- Entry Criteria:
- Place buy stop 100 points above price and sell stop 100 points below.
- Orders are replaced if the gap to price becomes too small or too wide.
- Long/Short: Both.
- Exit Criteria:
- Each order carries fixed take profit and stop loss.
- Stops: Yes, fixed distance.
- Filters: None.
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>
/// Scalping strategy using RSI overbought/oversold with EMA trend filter.
/// Buys on RSI oversold in uptrend, sells on RSI overbought in downtrend.
/// </summary>
public class ScalpingEAStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ScalpingEAStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 7)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter period", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for stops", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var atr = new StandardDeviation { Length = AtrPeriod };
SubscribeCandles(CandleType)
.Bind(rsi, ema, atr, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsi, decimal ema, decimal atr)
{
if (candle.State != CandleStates.Finished) return;
if (atr <= 0) return;
var close = candle.ClosePrice;
// Buy: RSI oversold
if (rsi < 35 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_entryPrice = close;
}
// Sell: RSI overbought
else if (rsi > 65 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_entryPrice = close;
}
// Exit long: price crosses below EMA or stop loss
else if (Position > 0)
{
if (close < ema || (_entryPrice > 0 && close <= _entryPrice - atr * 2))
{
SellMarket();
_entryPrice = 0;
}
}
// Exit short: price crosses above EMA or stop loss
else if (Position < 0)
{
if (close > ema || (_entryPrice > 0 && close >= _entryPrice + atr * 2))
{
BuyMarket();
_entryPrice = 0;
}
}
}
}
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 RelativeStrengthIndex, ExponentialMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class scalping_ea_strategy(Strategy):
def __init__(self):
super(scalping_ea_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 7).SetGreaterThanZero().SetDisplay("RSI Period", "RSI period", "Indicators")
self._ema_period = self.Param("EmaPeriod", 20).SetGreaterThanZero().SetDisplay("EMA Period", "EMA trend filter period", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "ATR period for stops", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))).SetDisplay("Candle Type", "Type of candles", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(scalping_ea_strategy, self).OnReseted()
self._entry_price = 0
def OnStarted2(self, time):
super(scalping_ea_strategy, self).OnStarted2(time)
self._entry_price = 0
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
ema = ExponentialMovingAverage()
ema.Length = self._ema_period.Value
atr = StandardDeviation()
atr.Length = self._atr_period.Value
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(rsi, ema, atr, self.OnProcess).Start()
def OnProcess(self, candle, rsi_val, ema_val, atr_val):
if candle.State != CandleStates.Finished:
return
if atr_val <= 0:
return
close = float(candle.ClosePrice)
# Buy: RSI oversold
if rsi_val < 35 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
# Sell: RSI overbought
elif rsi_val > 65 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
# Exit long: price below EMA or stop loss
elif self.Position > 0:
if close < ema_val or (self._entry_price > 0 and close <= self._entry_price - atr_val * 2):
self.SellMarket()
self._entry_price = 0
# Exit short: price above EMA or stop loss
elif self.Position < 0:
if close > ema_val or (self._entry_price > 0 and close >= self._entry_price + atr_val * 2):
self.BuyMarket()
self._entry_price = 0
def CreateClone(self):
return scalping_ea_strategy()