Estrategia de Trading Nocturno en Rango Plano

using System;
using System.Linq;
using System.Collections.Generic;

using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;

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

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Night session flat trading strategy that enters near range extremes.
/// </summary>
public class NightFlatTradeStrategy : Strategy
{
	private readonly StrategyParam<int> _rangeLength;

	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<decimal> _takeProfitPips;
	private readonly StrategyParam<decimal> _trailingStopPips;
	private readonly StrategyParam<decimal> _trailingStepPips;
	private readonly StrategyParam<decimal> _diffMinPips;
	private readonly StrategyParam<decimal> _diffMaxPips;
	private readonly StrategyParam<int> _openHour;

	private Highest _highest = null!;
	private Lowest _lowest = null!;

	private decimal _pipSize;
	private decimal _entryPrice;
	private decimal? _stopPrice;
	private decimal? _takeProfitPrice;

	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	public decimal TakeProfitPips
	{
		get => _takeProfitPips.Value;
		set => _takeProfitPips.Value = value;
	}

	public decimal TrailingStopPips
	{
		get => _trailingStopPips.Value;
		set => _trailingStopPips.Value = value;
	}

	public decimal TrailingStepPips
	{
		get => _trailingStepPips.Value;
		set => _trailingStepPips.Value = value;
	}

	public decimal DiffMinPips
	{
		get => _diffMinPips.Value;
		set => _diffMinPips.Value = value;
	}

	public decimal DiffMaxPips
	{
		get => _diffMaxPips.Value;
		set => _diffMaxPips.Value = value;
	}

	public int OpenHour
	{
		get => _openHour.Value;
		set => _openHour.Value = value;
	}

	/// <summary>
	/// Number of candles used to form the overnight range.
	/// </summary>
	public int RangeLength
	{
		get => _rangeLength.Value;
		set => _rangeLength.Value = value;
	}

	public NightFlatTradeStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles used for the setup", "General");

		_takeProfitPips = Param(nameof(TakeProfitPips), 50m)
			.SetRange(0m, 500m)
			.SetDisplay("Take Profit (pips)", "Take profit distance in pips", "Risk");

		_trailingStopPips = Param(nameof(TrailingStopPips), 15m)
			.SetRange(0m, 200m)
			.SetDisplay("Trailing Stop (pips)", "Trailing stop distance in pips", "Risk");

		_trailingStepPips = Param(nameof(TrailingStepPips), 5m)
			.SetRange(0m, 200m)
			.SetDisplay("Trailing Step (pips)", "Extra advance required to shift the trailing stop", "Risk");

		_diffMinPips = Param(nameof(DiffMinPips), 18m)
			.SetGreaterThanZero()
			.SetDisplay("Min Range (pips)", "Minimum three-candle range in pips", "Setup");

		_diffMaxPips = Param(nameof(DiffMaxPips), 28m)
			.SetGreaterThanZero()
			.SetDisplay("Max Range (pips)", "Maximum three-candle range in pips", "Setup");

		_openHour = Param(nameof(OpenHour), 0)
			.SetRange(0, 23)
			.SetDisplay("Open Hour", "Hour (exchange time) when entries become active", "Schedule");

		_rangeLength = Param(nameof(RangeLength), 3)
			.SetGreaterThanZero()
			.SetDisplay("Range Length", "Number of candles composing the range", "Setup");
	}

	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		return [(Security, CandleType)];
	}

	protected override void OnReseted()
	{
		base.OnReseted();

		_highest = null!;
		_lowest = null!;
		_pipSize = 0m;
		_entryPrice = 0m;
		_stopPrice = null;
		_takeProfitPrice = null;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_highest = new Highest { Length = RangeLength };
		_lowest = new Lowest { Length = RangeLength };

		var priceStep = Security?.PriceStep ?? 0m;
		var decimals = Security?.Decimals;

		if (priceStep <= 0m)
			priceStep = 0.0001m;

		_pipSize = priceStep;

		if (decimals.HasValue && (decimals.Value == 3 || decimals.Value == 5))
			_pipSize *= 10m;

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(_highest, _lowest, ProcessCandle)
			.Start();

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawIndicator(area, _highest);
			DrawIndicator(area, _lowest);
			DrawOwnTrades(area);
		}
	}

	private void ProcessCandle(ICandleMessage candle, decimal highestValue, decimal lowestValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		// Manage active trades before scanning for new setups.
		HandleExistingPosition(candle);

		if (Position != 0m)
			return;

		if (_highest == null || _lowest == null)
			return;

		if (!_highest.IsFormed || !_lowest.IsFormed)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var diff = highestValue - lowestValue;
		if (diff <= 0m)
			return;

		var quarter = diff / 4m;
		var closePrice = candle.ClosePrice;

		if (closePrice > lowestValue && closePrice <= lowestValue + quarter)
		{
			BuyMarket();
			_entryPrice = closePrice;
			_stopPrice = lowestValue - diff / 3m;
			_takeProfitPrice = TakeProfitPips > 0m ? closePrice + ToPrice(TakeProfitPips) : null;
			return;
		}

		if (closePrice < highestValue && closePrice >= highestValue - quarter)
		{
			SellMarket();
			_entryPrice = closePrice;
			_stopPrice = highestValue + diff / 3m;
			_takeProfitPrice = TakeProfitPips > 0m ? closePrice - ToPrice(TakeProfitPips) : null;
		}
	}

	private void HandleExistingPosition(ICandleMessage candle)
	{
		if (Position > 0m)
		{
			UpdateTrailingForLong(candle);

			if (_stopPrice.HasValue && candle.LowPrice <= _stopPrice.Value)
			{
				SellMarket(Math.Abs(Position));
				ResetTradeState();
				return;
			}

			if (_takeProfitPrice.HasValue && candle.HighPrice >= _takeProfitPrice.Value)
			{
				SellMarket(Math.Abs(Position));
				ResetTradeState();
			}
		}
		else if (Position < 0m)
		{
			UpdateTrailingForShort(candle);

			if (_stopPrice.HasValue && candle.HighPrice >= _stopPrice.Value)
			{
				BuyMarket(Math.Abs(Position));
				ResetTradeState();
				return;
			}

			if (_takeProfitPrice.HasValue && candle.LowPrice <= _takeProfitPrice.Value)
			{
				BuyMarket(Math.Abs(Position));
				ResetTradeState();
			}
		}
	}

	private void UpdateTrailingForLong(ICandleMessage candle)
	{
		if (TrailingStopPips <= 0m || TrailingStepPips <= 0m || _stopPrice == null)
			return;

		var trailingDistance = ToPrice(TrailingStopPips);
		var stepDistance = ToPrice(TrailingStepPips);

		var advance = candle.HighPrice - _entryPrice;
		if (advance < trailingDistance + stepDistance)
			return;

		var newStop = candle.HighPrice - trailingDistance;

		if (newStop <= _stopPrice.Value || newStop - _stopPrice.Value < stepDistance)
			return;

		// Raise the stop only after price travels an additional step distance.
		_stopPrice = newStop;
	}

	private void UpdateTrailingForShort(ICandleMessage candle)
	{
		if (TrailingStopPips <= 0m || TrailingStepPips <= 0m || _stopPrice == null)
			return;

		var trailingDistance = ToPrice(TrailingStopPips);
		var stepDistance = ToPrice(TrailingStepPips);

		var advance = _entryPrice - candle.LowPrice;
		if (advance < trailingDistance + stepDistance)
			return;

		var newStop = candle.LowPrice + trailingDistance;

		if (newStop >= _stopPrice.Value || _stopPrice.Value - newStop < stepDistance)
			return;

		// Lower the stop only after price moves the additional step distance in favor of the trade.
		_stopPrice = newStop;
	}

	private decimal ToPrice(decimal pips)
	{
		if (pips <= 0m)
			return 0m;

		var pip = _pipSize > 0m ? _pipSize : 0.0001m;
		return pips * pip;
	}

	private void ResetTradeState()
	{
		_entryPrice = 0m;
		_stopPrice = null;
		_takeProfitPrice = null;
	}
}

import clr

clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")

from StockSharp.Algo.Indicators import Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
from StockSharp.Messages import DataType, CandleStates
from System import TimeSpan, Math


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

        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
        self._take_profit_pips = self.Param("TakeProfitPips", 50.0)
        self._trailing_stop_pips = self.Param("TrailingStopPips", 15.0)
        self._trailing_step_pips = self.Param("TrailingStepPips", 5.0)
        self._diff_min_pips = self.Param("DiffMinPips", 18.0)
        self._diff_max_pips = self.Param("DiffMaxPips", 28.0)
        self._open_hour = self.Param("OpenHour", 0)
        self._range_length = self.Param("RangeLength", 3)

        self._highest = None
        self._lowest = None
        self._pip_size = 0.0
        self._entry_price = 0.0
        self._stop_price = None
        self._take_profit_price = None

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

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

        self._highest = Highest()
        self._highest.Length = self._range_length.Value
        self._lowest = Lowest()
        self._lowest.Length = self._range_length.Value

        price_step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 0.0
        if price_step <= 0:
            price_step = 0.0001

        self._pip_size = price_step

        # Check if Security has Decimals property for pip adjustment
        decimals = None
        if self.Security is not None:
            try:
                decimals = self.Security.Decimals
            except:
                pass

        if decimals is not None and (decimals == 3 or decimals == 5):
            self._pip_size *= 10.0

        sub = self.SubscribeCandles(self.CandleType)
        sub.Bind(self._highest, self._lowest, self._process_candle).Start()

    def _process_candle(self, candle, highest_value, lowest_value):
        if candle.State != CandleStates.Finished:
            return

        # Manage active trades before scanning for new setups
        self._handle_existing_position(candle)

        if self.Position != 0:
            return

        if self._highest is None or self._lowest is None:
            return

        if not self._highest.IsFormed or not self._lowest.IsFormed:
            return

        hv = float(highest_value)
        lv = float(lowest_value)

        diff = hv - lv
        if diff <= 0:
            return

        quarter = diff / 4.0
        close_price = float(candle.ClosePrice)

        if close_price > lv and close_price <= lv + quarter:
            self.BuyMarket()
            self._entry_price = close_price
            self._stop_price = lv - diff / 3.0
            self._take_profit_price = close_price + self._to_price(self._take_profit_pips.Value) if self._take_profit_pips.Value > 0 else None
            return

        if close_price < hv and close_price >= hv - quarter:
            self.SellMarket()
            self._entry_price = close_price
            self._stop_price = hv + diff / 3.0
            self._take_profit_price = close_price - self._to_price(self._take_profit_pips.Value) if self._take_profit_pips.Value > 0 else None

    def _handle_existing_position(self, candle):
        if self.Position > 0:
            self._update_trailing_for_long(candle)

            if self._stop_price is not None and float(candle.LowPrice) <= self._stop_price:
                self.SellMarket(abs(self.Position))
                self._reset_trade_state()
                return

            if self._take_profit_price is not None and float(candle.HighPrice) >= self._take_profit_price:
                self.SellMarket(abs(self.Position))
                self._reset_trade_state()

        elif self.Position < 0:
            self._update_trailing_for_short(candle)

            if self._stop_price is not None and float(candle.HighPrice) >= self._stop_price:
                self.BuyMarket(abs(self.Position))
                self._reset_trade_state()
                return

            if self._take_profit_price is not None and float(candle.LowPrice) <= self._take_profit_price:
                self.BuyMarket(abs(self.Position))
                self._reset_trade_state()

    def _update_trailing_for_long(self, candle):
        if self._trailing_stop_pips.Value <= 0 or self._trailing_step_pips.Value <= 0 or self._stop_price is None:
            return

        trailing_distance = self._to_price(self._trailing_stop_pips.Value)
        step_distance = self._to_price(self._trailing_step_pips.Value)

        advance = float(candle.HighPrice) - self._entry_price
        if advance < trailing_distance + step_distance:
            return

        new_stop = float(candle.HighPrice) - trailing_distance
        if new_stop <= self._stop_price or new_stop - self._stop_price < step_distance:
            return

        self._stop_price = new_stop

    def _update_trailing_for_short(self, candle):
        if self._trailing_stop_pips.Value <= 0 or self._trailing_step_pips.Value <= 0 or self._stop_price is None:
            return

        trailing_distance = self._to_price(self._trailing_stop_pips.Value)
        step_distance = self._to_price(self._trailing_step_pips.Value)

        advance = self._entry_price - float(candle.LowPrice)
        if advance < trailing_distance + step_distance:
            return

        new_stop = float(candle.LowPrice) + trailing_distance
        if new_stop >= self._stop_price or self._stop_price - new_stop < step_distance:
            return

        self._stop_price = new_stop

    def _to_price(self, pips):
        if pips <= 0:
            return 0.0
        pip = self._pip_size if self._pip_size > 0 else 0.0001
        return pips * pip

    def _reset_trade_state(self):
        self._entry_price = 0.0
        self._stop_price = None
        self._take_profit_price = None

    def OnReseted(self):
        super(night_flat_trade_strategy, self).OnReseted()
        self._highest = None
        self._lowest = None
        self._pip_size = 0.0
        self._entry_price = 0.0
        self._stop_price = None
        self._take_profit_price = None

    def CreateClone(self):
        return night_flat_trade_strategy()