Strategy using crossover of fast and slow HMA with RSI and smoothed Stochastic filter. It opens long when the fast HMA crosses above the slow HMA with RSI and Stochastic below thresholds, and opens short on the opposite condition. A trailing stop manages exits.
Details
Entry Criteria: Fast HMA cross above slow HMA with RSI and Stochastic below thresholds.
Long/Short: Both directions.
Exit Criteria: Trailing stop or opposite signal.
Stops: Trailing percent.
Default Values:
FastHmaLength = 5
SlowHmaLength = 20
RsiPeriod = 14
RsiBuyLevel = 45
RsiSellLevel = 60
StochLength = 14
StochSmooth = 3
StochBuyLevel = 39
StochSellLevel = 63
TrailingPercent = 5
CandleType = TimeSpan.FromHours(1)
Filters:
Category: Trend
Direction: Both
Indicators: HMA, RSI, Stochastic
Stops: Trailing
Complexity: Basic
Timeframe: 1h
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 HmaCrossoverRsiStochasticTrailingStopStrategy : 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 HmaCrossoverRsiStochasticTrailingStopStrategy()
{
_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 hma_crossover_rsi_stochastic_trailing_stop_strategy(Strategy):
"""
EMA crossover strategy.
Buys when fast EMA crosses above slow EMA, sells when it crosses below.
"""
def __init__(self):
super(hma_crossover_rsi_stochastic_trailing_stop_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 120) \
.SetDisplay("Fast Period", "Fast EMA period", "General")
self._slow_period = self.Param("SlowPeriod", 450) \
.SetDisplay("Slow Period", "Slow EMA period", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Candle timeframe", "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(hma_crossover_rsi_stochastic_trailing_stop_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(hma_crossover_rsi_stochastic_trailing_stop_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self._process_candle).Start()
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 and self._prev_slow != 0.0:
if self._prev_fast <= self._prev_slow and fast > slow:
if self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast < slow:
if self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return hma_crossover_rsi_stochastic_trailing_stop_strategy()