Strategy combines RSI mean reversion with breakout entries filtered by ADX and a 200 EMA.
The system buys when the market is ranging and RSI drops below RsiBuy in bullish EMA trend. It sells short when RSI rises above RsiSell in bearish trend. In trending regime, it enters breakouts above/below recent closes and trails the position using ATR.
Includes a start date filter and simple dashboard variables for last trade type and direction.
Details
Entry Criteria: RSI signals in ranging regime with EMA bias, or breakouts above/below previous BreakoutLength closes when ADX > AdxThreshold.
Long/Short: Both.
Exit Criteria: RSI trades exit on RsiExit. Breakout trades use ATR trailing stop.
Stops: ATR trailing stop for breakout trades.
Default Values:
AdxLength = 14
AdxThreshold = 20m
EmaLength = 200
RsiLength = 14
RsiBuy = 40m
RsiSell = 60m
RsiExit = 50m
BreakoutLength = 20
AtrLength = 14
AtrMultiplier = 2m
StartDate = 2017-01-01
CandleType = TimeSpan.FromMinutes(5)
Filters:
Category: Trend, Mean Reversion
Direction: Both
Indicators: ADX, EMA, RSI, ATR, Highest/Lowest
Stops: Trailing
Complexity: Medium
Timeframe: Intraday (5m)
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;
public class HybridRsiBreakoutDashboardStrategy : 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 HybridRsiBreakoutDashboardStrategy()
{
_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");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
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 hybrid_rsi_breakout_dashboard_strategy(Strategy):
"""
EMA crossover strategy. Buys when fast EMA crosses above slow EMA,
sells when fast EMA crosses below slow EMA.
"""
def __init__(self):
super(hybrid_rsi_breakout_dashboard_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", "Type of candles to use", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(hybrid_rsi_breakout_dashboard_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(hybrid_rsi_breakout_dashboard_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._process_candle).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 _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
if self._prev_fast == 0.0 or self._prev_slow == 0.0:
self._prev_fast = fast
self._prev_slow = slow
return
if self._prev_fast <= self._prev_slow and fast > slow and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast < slow and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return hybrid_rsi_breakout_dashboard_strategy()