Multi Conditions Curve Fitting Strategy
Combines EMA crossover, RSI and Stochastic oscillator to trade when multiple signals align.
Details
- Entry Criteria:
- Long:
FastEMA > SlowEMAandRSI < RsiOversoldandStochK < 20 - Short:
FastEMA < SlowEMAandRSI > RsiOverboughtandStochK > 80
- Long:
- Long/Short: Both
- Exit Criteria:
- Long:
FastEMA < SlowEMAorRSI > RsiOverboughtorStochK > StochD - Short:
FastEMA > SlowEMAorRSI < RsiOversoldorStochK < StochD
- Long:
- Stops: None
- Default Values:
FastEmaLength= 10SlowEmaLength= 25RsiLength= 14RsiOverbought= 80RsiOversold= 20StochLength= 14CandleType= TimeSpan.FromMinutes(1).TimeFrame()
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: EMA, RSI, Stochastic
- Stops: No
- Complexity: Basic
- Timeframe: Short-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy combining EMA crossover, RSI and Stochastic oscillator.
/// </summary>
public class MultiConditionsCurveFittingStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaLength;
private readonly StrategyParam<int> _slowEmaLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _barIndex;
private int _lastSignalBar = -1000000;
public int FastEmaLength { get => _fastEmaLength.Value; set => _fastEmaLength.Value = value; }
public int SlowEmaLength { get => _slowEmaLength.Value; set => _slowEmaLength.Value = value; }
public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
public decimal RsiOverbought { get => _rsiOverbought.Value; set => _rsiOverbought.Value = value; }
public decimal RsiOversold { get => _rsiOversold.Value; set => _rsiOversold.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MultiConditionsCurveFittingStrategy()
{
_fastEmaLength = Param(nameof(FastEmaLength), 10);
_slowEmaLength = Param(nameof(SlowEmaLength), 25);
_rsiLength = Param(nameof(RsiLength), 14);
_rsiOverbought = Param(nameof(RsiOverbought), 68m);
_rsiOversold = Param(nameof(RsiOversold), 32m);
_cooldownBars = Param(nameof(CooldownBars), 5).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
_barIndex = 0;
_lastSignalBar = -1000000;
var fastEma = new ExponentialMovingAverage { Length = FastEmaLength };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaLength };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, rsi, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastEma, decimal slowEma, decimal rsi)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
if (!_hasPrev)
{
_prevFast = fastEma;
_prevSlow = slowEma;
_hasPrev = true;
return;
}
var canSignal = _barIndex - _lastSignalBar >= CooldownBars;
var longSignal = _prevFast <= _prevSlow && fastEma > slowEma && rsi <= 60m;
var shortSignal = _prevFast >= _prevSlow && fastEma < slowEma && rsi >= 40m;
if (canSignal && longSignal && Position <= 0)
{
BuyMarket();
_lastSignalBar = _barIndex;
}
else if (canSignal && shortSignal && Position >= 0)
{
SellMarket();
_lastSignalBar = _barIndex;
}
_prevFast = fastEma;
_prevSlow = slowEma;
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_hasPrev = false;
_barIndex = 0;
_lastSignalBar = -1000000;
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class multi_conditions_curve_fitting_strategy(Strategy):
"""
Multi conditions curve fitting: EMA crossover with RSI filter.
"""
def __init__(self):
super(multi_conditions_curve_fitting_strategy, self).__init__()
self._fast_length = self.Param("FastEmaLength", 10).SetDisplay("Fast EMA", "Fast EMA", "Indicators")
self._slow_length = self.Param("SlowEmaLength", 25).SetDisplay("Slow EMA", "Slow EMA", "Indicators")
self._rsi_length = self.Param("RsiLength", 14).SetDisplay("RSI", "RSI period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 5).SetDisplay("Cooldown", "Min bars between entries", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bar_index = 0
self._last_signal_bar = -1000000
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(multi_conditions_curve_fitting_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._bar_index = 0
self._last_signal_bar = -1000000
def OnStarted2(self, time):
super(multi_conditions_curve_fitting_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_length.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_length.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, slow_val, rsi_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
rsi = float(rsi_val)
self._bar_index += 1
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
can_signal = self._bar_index - self._last_signal_bar >= self._cooldown_bars.Value
long_signal = self._prev_fast <= self._prev_slow and fast > slow and rsi <= 60.0
short_signal = self._prev_fast >= self._prev_slow and fast < slow and rsi >= 40.0
if can_signal and long_signal and self.Position <= 0:
self.BuyMarket()
self._last_signal_bar = self._bar_index
elif can_signal and short_signal and self.Position >= 0:
self.SellMarket()
self._last_signal_bar = self._bar_index
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return multi_conditions_curve_fitting_strategy()