Estrategia de ruptura de rango basada en el tiempo

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>
/// Breakout strategy that prepares daily buy/sell levels at a specified time.
/// The offset and profit targets are derived from the average range of previous days.
/// </summary>
public class TimeBasedRangeBreakoutStrategy : Strategy
{

	private readonly StrategyParam<int> _checkHour;
	private readonly StrategyParam<int> _checkMinute;
	private readonly StrategyParam<int> _daysToCheck;
	private readonly StrategyParam<int> _checkMode;
	private readonly StrategyParam<decimal> _profitFactor;
	private readonly StrategyParam<decimal> _lossFactor;
	private readonly StrategyParam<decimal> _offsetFactor;
	private readonly StrategyParam<int> _closeMode;
	private readonly StrategyParam<int> _tradesPerDay;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _lastOpenHour;

	private Queue<decimal> _rangeHistory;
	private Queue<decimal> _closeDiffHistory;

	private DateTime? _currentDay;
	private DateTime? _levelsDay;
	private decimal _dayHigh;
	private decimal _dayLow;
	private decimal _buyBreakout;
	private decimal _sellBreakout;
	private decimal _profitDistance;
	private decimal _lossDistance;
	private decimal? _previousCheckClose;
	private decimal? _currentCheckClose;
	private int _tradesOpenedToday;
	private bool _levelsReady;
	private decimal _entryPrice;

	/// <summary>
	/// Hour of the day when the reference range is calculated.
	/// </summary>
	public int CheckHour
	{
		get => _checkHour.Value;
		set => _checkHour.Value = value;
	}

	/// <summary>
	/// Minute of the hour when the reference range is calculated.
	/// </summary>
	public int CheckMinute
	{
		get => _checkMinute.Value;
		set => _checkMinute.Value = value;
	}

	/// <summary>
	/// Number of previous days used for averaging.
	/// </summary>
	public int DaysToCheck
	{
		get => _daysToCheck.Value;
		set => _daysToCheck.Value = value;
	}

	/// <summary>
	/// Mode of averaging: 1 - daily range, 2 - absolute close-to-close difference.
	/// </summary>
	public int CheckMode
	{
		get => _checkMode.Value;
		set => _checkMode.Value = value;
	}

	/// <summary>
	/// Divisor applied to convert the average range into a take-profit distance.
	/// </summary>
	public decimal ProfitFactor
	{
		get => _profitFactor.Value;
		set => _profitFactor.Value = value;
	}

	/// <summary>
	/// Divisor applied to convert the average range into a stop-loss distance.
	/// </summary>
	public decimal LossFactor
	{
		get => _lossFactor.Value;
		set => _lossFactor.Value = value;
	}

	/// <summary>
	/// Divisor applied to convert the average range into the breakout offset.
	/// </summary>
	public decimal OffsetFactor
	{
		get => _offsetFactor.Value;
		set => _offsetFactor.Value = value;
	}

	/// <summary>
	/// Defines whether to flatten at the daily boundary (2 = close on new day).
	/// </summary>
	public int CloseMode
	{
		get => _closeMode.Value;
		set => _closeMode.Value = value;
	}

	/// <summary>
	/// Maximum number of trades allowed per day.
	/// </summary>
	public int TradesPerDay
	{
		get => _tradesPerDay.Value;
		set => _tradesPerDay.Value = value;
	}

	/// <summary>
	/// Candle type used by the strategy.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}
	/// <summary>
	/// Last hour of the day when breakout orders are allowed to remain open.
	/// </summary>
	public int LastOpenHour
	{
		get => _lastOpenHour.Value;
		set => _lastOpenHour.Value = value;
	}

	/// <summary>
	/// Initializes strategy parameters.
	/// </summary>
	public TimeBasedRangeBreakoutStrategy()
	{
		_checkHour = Param(nameof(CheckHour), 8)
		.SetDisplay("Check Hour", "Hour of the day used for daily calculations", "Schedule")
		.SetRange(0, 23);

		_checkMinute = Param(nameof(CheckMinute), 0)
		.SetDisplay("Check Minute", "Minute of the hour used for daily calculations", "Schedule")
		.SetRange(0, 59);

		_daysToCheck = Param(nameof(DaysToCheck), 7)
		.SetGreaterThanZero()
		.SetDisplay("Days To Check", "Number of previous days used in averaging", "Averaging")
		
		.SetOptimize(3, 15, 1);

		_checkMode = Param(nameof(CheckMode), 1)
		.SetDisplay("Check Mode", "1 - use daily range, 2 - use absolute close difference", "Averaging")
		.SetRange(1, 2);

		_profitFactor = Param(nameof(ProfitFactor), 2m)
		.SetGreaterThanZero()
		.SetDisplay("Profit Factor", "Divisor applied to average range for take-profit", "Risk")
		
		.SetOptimize(1m, 4m, 0.5m);

		_lossFactor = Param(nameof(LossFactor), 2m)
		.SetGreaterThanZero()
		.SetDisplay("Loss Factor", "Divisor applied to average range for stop-loss", "Risk")
		
		.SetOptimize(1m, 4m, 0.5m);

		_offsetFactor = Param(nameof(OffsetFactor), 2m)
		.SetGreaterThanZero()
		.SetDisplay("Offset Factor", "Divisor applied to average range for breakout levels", "Entries")
		
		.SetOptimize(1m, 4m, 0.5m);

		_closeMode = Param(nameof(CloseMode), 1)
		.SetDisplay("Close Mode", "1 - keep positions overnight, 2 - close on new day", "Risk")
		.SetRange(1, 2);

		_tradesPerDay = Param(nameof(TradesPerDay), 1)
		.SetGreaterThanZero()
		.SetDisplay("Trades Per Day", "Maximum entries allowed within one day", "Risk")
		
		.SetOptimize(1, 3, 1);

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
		.SetDisplay("Candle Type", "Primary candle series used by the strategy", "Data");
		_lastOpenHour = Param(nameof(LastOpenHour), 23)
			.SetDisplay("Last Open Hour", "Hour after which new trades are not opened", "Schedule")
			.SetRange(0, 23);
	}

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

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

		_rangeHistory = null;
		_closeDiffHistory = null;
		_currentDay = null;
		_levelsDay = null;
		_dayHigh = 0m;
		_dayLow = 0m;
		_buyBreakout = 0m;
		_sellBreakout = 0m;
		_profitDistance = 0m;
		_lossDistance = 0m;
		_previousCheckClose = null;
		_currentCheckClose = null;
		_tradesOpenedToday = 0;
		_levelsReady = false;
		_entryPrice = 0m;
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_rangeHistory = new();
		_closeDiffHistory = new();

		StartProtection(null, null);

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

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

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

		UpdateDailyState(candle);
		TryCalculateLevels(candle);

		

		ManageOpenPosition(candle);
		TryEnterPosition(candle);
	}

	private void UpdateDailyState(ICandleMessage candle)
	{
		var candleDate = candle.OpenTime.Date;

		if (_currentDay is null || candleDate != _currentDay.Value)
		{
			if (_currentDay is not null)
			FinalizePreviousDay();

			if (CloseMode == 2 && Position != 0m)
			ClosePosition();

			_currentDay = candleDate;
			_dayHigh = candle.HighPrice;
			_dayLow = candle.LowPrice;
			_levelsReady = false;
			_levelsDay = null;
			_currentCheckClose = null;
			_tradesOpenedToday = 0;
		}
		else
		{
			if (candle.HighPrice > _dayHigh)
			_dayHigh = candle.HighPrice;

			if (candle.LowPrice < _dayLow)
			_dayLow = candle.LowPrice;
		}
	}

	private void FinalizePreviousDay()
	{
		var dayRange = _dayHigh - _dayLow;
		if (dayRange > 0m)
		if (_rangeHistory != null)
		EnqueueWithLimit(_rangeHistory, dayRange, DaysToCheck);

		if (_currentCheckClose is decimal checkClose)
		{
			if (_previousCheckClose is decimal previousClose)
			{
				var difference = Math.Abs(checkClose - previousClose);
				if (difference > 0m)
				if (_closeDiffHistory != null)
				EnqueueWithLimit(_closeDiffHistory, difference, DaysToCheck);
			}

			_previousCheckClose = checkClose;
		}

		_currentCheckClose = null;
	}

	private void TryCalculateLevels(ICandleMessage candle)
	{
		if (candle.OpenTime.Hour != CheckHour || candle.OpenTime.Minute != CheckMinute)
		return;

		_currentCheckClose = candle.ClosePrice;

		if (Position != 0m)
		ClosePosition();

		if (!TryGetAverage(out var average))
		{
			_levelsReady = false;
			_levelsDay = null;
			return;
		}

		var offset = OffsetFactor > 0m ? average / OffsetFactor : 0m;
		_profitDistance = ProfitFactor > 0m ? average / ProfitFactor : 0m;
		_lossDistance = LossFactor > 0m ? average / LossFactor : 0m;

		_buyBreakout = _dayHigh + offset;
		_sellBreakout = _dayLow - offset;
		_levelsReady = true;
		_levelsDay = _currentDay;

		LogInfo($"Levels prepared for {candle.OpenTime:yyyy-MM-dd}. High={_dayHigh}, Low={_dayLow}, Avg={average}, BuyLevel={_buyBreakout}, SellLevel={_sellBreakout}.");
	}

	private void ManageOpenPosition(ICandleMessage candle)
	{
		if (Position == 0m)
		return;

		var entryPrice = _entryPrice;
		if (entryPrice == 0m)
		return;

		if (Position > 0m)
		{
			var reachedProfit = _profitDistance > 0m && candle.ClosePrice - entryPrice >= _profitDistance;
			var reachedLoss = _lossDistance > 0m && entryPrice - candle.ClosePrice >= _lossDistance;

			if (reachedProfit || reachedLoss)
			SellMarket();
		}
		else if (Position < 0m)
		{
			var reachedProfit = _profitDistance > 0m && entryPrice - candle.ClosePrice >= _profitDistance;
			var reachedLoss = _lossDistance > 0m && candle.ClosePrice - entryPrice >= _lossDistance;

			if (reachedProfit || reachedLoss)
			BuyMarket();
		}
	}

	private void TryEnterPosition(ICandleMessage candle)
	{
		if (!_levelsReady || _levelsDay is null || _currentDay is null)
		return;

		if (_levelsDay != _currentDay)
		return;

		if (_tradesOpenedToday >= TradesPerDay)
		return;

		if (candle.OpenTime.Hour > LastOpenHour)
		return;

		if (Position != 0m)
		return;

		if (candle.ClosePrice >= _buyBreakout)
		{
			BuyMarket();
			_entryPrice = candle.ClosePrice;
			_tradesOpenedToday++;
		}
		else if (candle.ClosePrice <= _sellBreakout)
		{
			SellMarket();
			_entryPrice = candle.ClosePrice;
			_tradesOpenedToday++;
		}
	}

	private bool TryGetAverage(out decimal average)
	{
		average = 0m;
		var source = CheckMode == 2 ? _closeDiffHistory : _rangeHistory;
		if (source == null)
		return false;

		var sum = 0m;
		var count = 0;

		foreach (var value in source)
		{
			sum += value;
			count++;
		}

		if (count == 0)
		return false;

		average = sum / count;
		return true;
	}

	private static void EnqueueWithLimit(Queue<decimal> queue, decimal value, int limit)
	{
		queue.Enqueue(value);

		while (queue.Count > limit)
		queue.Dequeue();
	}

	private void ClosePosition()
	{
		if (Position > 0m)
		{
			SellMarket();
		}
		else if (Position < 0m)
		{
			BuyMarket();
		}
	}
}

import clr

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

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


class time_based_range_breakout_strategy(Strategy):
    """Breakout strategy that prepares daily buy/sell levels at a specified time.
    The offset and profit targets are derived from the average range of previous days."""

    def __init__(self):
        super(time_based_range_breakout_strategy, self).__init__()

        self._check_hour = self.Param("CheckHour", 8) \
            .SetDisplay("Check Hour", "Hour of the day used for daily calculations", "Schedule")
        self._check_minute = self.Param("CheckMinute", 0) \
            .SetDisplay("Check Minute", "Minute of the hour used for daily calculations", "Schedule")
        self._days_to_check = self.Param("DaysToCheck", 7) \
            .SetGreaterThanZero() \
            .SetDisplay("Days To Check", "Number of previous days used in averaging", "Averaging")
        self._check_mode = self.Param("CheckMode", 1) \
            .SetDisplay("Check Mode", "1 - use daily range, 2 - use absolute close difference", "Averaging")
        self._profit_factor = self.Param("ProfitFactor", 2.0) \
            .SetGreaterThanZero() \
            .SetDisplay("Profit Factor", "Divisor applied to average range for take-profit", "Risk")
        self._loss_factor = self.Param("LossFactor", 2.0) \
            .SetGreaterThanZero() \
            .SetDisplay("Loss Factor", "Divisor applied to average range for stop-loss", "Risk")
        self._offset_factor = self.Param("OffsetFactor", 2.0) \
            .SetGreaterThanZero() \
            .SetDisplay("Offset Factor", "Divisor applied to average range for breakout levels", "Entries")
        self._close_mode = self.Param("CloseMode", 1) \
            .SetDisplay("Close Mode", "1 - keep positions overnight, 2 - close on new day", "Risk")
        self._trades_per_day = self.Param("TradesPerDay", 1) \
            .SetGreaterThanZero() \
            .SetDisplay("Trades Per Day", "Maximum entries allowed within one day", "Risk")
        self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
            .SetDisplay("Candle Type", "Primary candle series used by the strategy", "Data")
        self._last_open_hour = self.Param("LastOpenHour", 23) \
            .SetDisplay("Last Open Hour", "Hour after which new trades are not opened", "Schedule")

        self._range_history = []
        self._close_diff_history = []
        self._current_day = None
        self._levels_day = None
        self._day_high = 0.0
        self._day_low = 0.0
        self._buy_breakout = 0.0
        self._sell_breakout = 0.0
        self._profit_distance = 0.0
        self._loss_distance = 0.0
        self._previous_check_close = None
        self._current_check_close = None
        self._trades_opened_today = 0
        self._levels_ready = False
        self._entry_price = 0.0

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

    @CandleType.setter
    def CandleType(self, value):
        self._candle_type.Value = value

    @property
    def CheckHour(self):
        return self._check_hour.Value

    @property
    def CheckMinute(self):
        return self._check_minute.Value

    @property
    def DaysToCheck(self):
        return self._days_to_check.Value

    @property
    def CheckMode(self):
        return self._check_mode.Value

    @property
    def ProfitFactor(self):
        return self._profit_factor.Value

    @property
    def LossFactor(self):
        return self._loss_factor.Value

    @property
    def OffsetFactor(self):
        return self._offset_factor.Value

    @property
    def CloseMode(self):
        return self._close_mode.Value

    @property
    def TradesPerDay(self):
        return self._trades_per_day.Value

    @property
    def LastOpenHour(self):
        return self._last_open_hour.Value

    def OnReseted(self):
        super(time_based_range_breakout_strategy, self).OnReseted()
        self._range_history = []
        self._close_diff_history = []
        self._current_day = None
        self._levels_day = None
        self._day_high = 0.0
        self._day_low = 0.0
        self._buy_breakout = 0.0
        self._sell_breakout = 0.0
        self._profit_distance = 0.0
        self._loss_distance = 0.0
        self._previous_check_close = None
        self._current_check_close = None
        self._trades_opened_today = 0
        self._levels_ready = False
        self._entry_price = 0.0

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

        self._range_history = []
        self._close_diff_history = []

        subscription = self.SubscribeCandles(self.CandleType)
        subscription.Bind(self._process_candle).Start()

    def _enqueue_with_limit(self, lst, value, limit):
        lst.append(value)
        while len(lst) > limit:
            lst.pop(0)

    def _finalize_previous_day(self):
        day_range = self._day_high - self._day_low
        if day_range > 0:
            self._enqueue_with_limit(self._range_history, day_range, self.DaysToCheck)

        if self._current_check_close is not None:
            if self._previous_check_close is not None:
                difference = abs(self._current_check_close - self._previous_check_close)
                if difference > 0:
                    self._enqueue_with_limit(self._close_diff_history, difference, self.DaysToCheck)
            self._previous_check_close = self._current_check_close

        self._current_check_close = None

    def _try_get_average(self):
        source = self._close_diff_history if self.CheckMode == 2 else self._range_history
        if len(source) == 0:
            return None
        return sum(source) / len(source)

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

        candle_date = candle.OpenTime.Date
        high = float(candle.HighPrice)
        low = float(candle.LowPrice)
        close = float(candle.ClosePrice)

        # Update daily state
        if self._current_day is None or candle_date != self._current_day:
            if self._current_day is not None:
                self._finalize_previous_day()

            if self.CloseMode == 2 and self.Position != 0:
                if self.Position > 0:
                    self.SellMarket()
                else:
                    self.BuyMarket()

            self._current_day = candle_date
            self._day_high = high
            self._day_low = low
            self._levels_ready = False
            self._levels_day = None
            self._current_check_close = None
            self._trades_opened_today = 0
        else:
            if high > self._day_high:
                self._day_high = high
            if low < self._day_low:
                self._day_low = low

        # Try to calculate levels at the designated time
        if candle.OpenTime.Hour == self.CheckHour and candle.OpenTime.Minute == self.CheckMinute:
            self._current_check_close = close

            if self.Position != 0:
                if self.Position > 0:
                    self.SellMarket()
                else:
                    self.BuyMarket()

            average = self._try_get_average()
            if average is None:
                self._levels_ready = False
                self._levels_day = None
            else:
                offset_factor = float(self.OffsetFactor)
                profit_factor = float(self.ProfitFactor)
                loss_factor = float(self.LossFactor)

                offset = average / offset_factor if offset_factor > 0 else 0.0
                self._profit_distance = average / profit_factor if profit_factor > 0 else 0.0
                self._loss_distance = average / loss_factor if loss_factor > 0 else 0.0

                self._buy_breakout = self._day_high + offset
                self._sell_breakout = self._day_low - offset
                self._levels_ready = True
                self._levels_day = self._current_day

        # Manage open position
        if self.Position != 0:
            entry_price = self._entry_price
            if entry_price != 0:
                if self.Position > 0:
                    reached_profit = self._profit_distance > 0 and close - entry_price >= self._profit_distance
                    reached_loss = self._loss_distance > 0 and entry_price - close >= self._loss_distance
                    if reached_profit or reached_loss:
                        self.SellMarket()
                elif self.Position < 0:
                    reached_profit = self._profit_distance > 0 and entry_price - close >= self._profit_distance
                    reached_loss = self._loss_distance > 0 and close - entry_price >= self._loss_distance
                    if reached_profit or reached_loss:
                        self.BuyMarket()

        # Try to enter position
        if not self._levels_ready or self._levels_day is None or self._current_day is None:
            return
        if self._levels_day != self._current_day:
            return
        if self._trades_opened_today >= self.TradesPerDay:
            return
        if candle.OpenTime.Hour > self.LastOpenHour:
            return
        if self.Position != 0:
            return

        if close >= self._buy_breakout:
            self.BuyMarket()
            self._entry_price = close
            self._trades_opened_today += 1
        elif close <= self._sell_breakout:
            self.SellMarket()
            self._entry_price = close
            self._trades_opened_today += 1

    def CreateClone(self):
        return time_based_range_breakout_strategy()