Estratégia de nível de detalhamento de Nevalyashka

using System;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Nevalyashka BreakdownLevel: Previous candle breakout with EMA filter and ATR stops.
/// </summary>
public class NevalyashkaBreakdownLevelStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _emaLength;
	private readonly StrategyParam<int> _atrLength;

	private decimal _prevHigh;
	private decimal _prevLow;
	private decimal _entryPrice;

	public NevalyashkaBreakdownLevelStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(8).TimeFrame())
			.SetDisplay("Candle Type", "Timeframe.", "General");
		_emaLength = Param(nameof(EmaLength), 30)
			.SetDisplay("EMA Length", "Trend filter.", "Indicators");
		_atrLength = Param(nameof(AtrLength), 14)
			.SetDisplay("ATR Length", "ATR period.", "Indicators");
	}

	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
	public int EmaLength { get => _emaLength.Value; set => _emaLength.Value = value; }
	public int AtrLength { get => _atrLength.Value; set => _atrLength.Value = value; }

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();

		_prevHigh = 0; _prevLow = 0; _entryPrice = 0;
	}

		protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);
		_prevHigh = 0; _prevLow = 0; _entryPrice = 0;
		var ema = new ExponentialMovingAverage { Length = EmaLength };
		var atr = new AverageTrueRange { Length = AtrLength };
		var subscription = SubscribeCandles(CandleType);
		subscription.Bind(ema, atr, ProcessCandle).Start();
		var area = CreateChartArea();
		if (area != null) { DrawCandles(area, subscription); DrawIndicator(area, ema); DrawOwnTrades(area); }
	}

	private void ProcessCandle(ICandleMessage candle, decimal emaVal, decimal atrVal)
	{
		if (candle.State != CandleStates.Finished) return;
		var close = candle.ClosePrice;
		if (_prevHigh == 0 || atrVal <= 0) { _prevHigh = candle.HighPrice; _prevLow = candle.LowPrice; return; }

		if (Position > 0)
		{
			if (close <= _entryPrice - atrVal * 1.5m || close >= _entryPrice + atrVal * 2.5m) { SellMarket(); _entryPrice = 0; }
		}
		else if (Position < 0)
		{
			if (close >= _entryPrice + atrVal * 1.5m || close <= _entryPrice - atrVal * 2.5m) { BuyMarket(); _entryPrice = 0; }
		}

		if (Position == 0)
		{
			if (close > _prevHigh && close > emaVal) { _entryPrice = close; BuyMarket(); }
			else if (close < _prevLow && close < emaVal) { _entryPrice = close; SellMarket(); }
		}
		_prevHigh = candle.HighPrice; _prevLow = candle.LowPrice;
	}
}

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.Strategies import Strategy
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange

class nevalyashka_breakdown_level_strategy(Strategy):
    def __init__(self):
        super(nevalyashka_breakdown_level_strategy, self).__init__()

        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(8))) \
            .SetDisplay("Candle Type", "Timeframe.", "General")
        self._ema_length = self.Param("EmaLength", 30) \
            .SetDisplay("EMA Length", "Trend filter.", "Indicators")
        self._atr_length = self.Param("AtrLength", 14) \
            .SetDisplay("ATR Length", "ATR period.", "Indicators")

        self._prev_high = 0.0
        self._prev_low = 0.0
        self._entry_price = 0.0

    @property
    def CandleType(self):
        return self._candle_type.Value

    @property
    def EmaLength(self):
        return self._ema_length.Value

    @property
    def AtrLength(self):
        return self._atr_length.Value

    def OnStarted2(self, time):
        super(nevalyashka_breakdown_level_strategy, self).OnStarted2(time)

        self._prev_high = 0.0
        self._prev_low = 0.0
        self._entry_price = 0.0

        self._ema = ExponentialMovingAverage()
        self._ema.Length = self.EmaLength
        self._atr = AverageTrueRange()
        self._atr.Length = self.AtrLength

        subscription = self.SubscribeCandles(self.CandleType)
        subscription.Bind(self._ema, self._atr, self.ProcessCandle).Start()

    def ProcessCandle(self, candle, ema_val, atr_val):
        if candle.State != CandleStates.Finished:
            return

        ev = float(ema_val)
        av = float(atr_val)
        close = float(candle.ClosePrice)

        if self._prev_high == 0 or av <= 0:
            self._prev_high = float(candle.HighPrice)
            self._prev_low = float(candle.LowPrice)
            return

        if self.Position > 0:
            if close <= self._entry_price - av * 1.5 or close >= self._entry_price + av * 2.5:
                self.SellMarket()
                self._entry_price = 0.0
        elif self.Position < 0:
            if close >= self._entry_price + av * 1.5 or close <= self._entry_price - av * 2.5:
                self.BuyMarket()
                self._entry_price = 0.0

        if not self.IsFormedAndOnlineAndAllowTrading():
            self._prev_high = float(candle.HighPrice)
            self._prev_low = float(candle.LowPrice)
            return

        if self.Position == 0:
            if close > self._prev_high and close > ev:
                self._entry_price = close
                self.BuyMarket()
            elif close < self._prev_low and close < ev:
                self._entry_price = close
                self.SellMarket()

        self._prev_high = float(candle.HighPrice)
        self._prev_low = float(candle.LowPrice)

    def OnReseted(self):
        super(nevalyashka_breakdown_level_strategy, self).OnReseted()
        self._prev_high = 0.0
        self._prev_low = 0.0
        self._entry_price = 0.0

    def CreateClone(self):
        return nevalyashka_breakdown_level_strategy()