Estrategia de Temporizador
La estrategia de Temporizador recalcula los niveles de ruptura a intervalos de tiempo fijos y opera cuando el precio cruza estos umbrales dinámicos. Los niveles se posicionan usando el Rango Verdadero Promedio (ATR) y una distancia adicional opcional en pips. El enfoque busca capturar rupturas de corto plazo en cualquier dirección.
Cada WaitSeconds, la estrategia establece:
- Nivel de compra en
close + pipDistance + ATR. - Nivel de venta en
close - pipDistance - ATR.
Cuando la siguiente vela completada cierra más allá de uno de estos niveles, se coloca una orden de mercado en la dirección correspondiente. La posición está protegida por stop-loss, take-profit y trailing stop configurables.
El trading puede limitarse a una ventana de tiempo específica usando la configuración de horas de trading.
Parámetros
WaitSeconds– segundos entre recálculos de niveles.PipDistance– distancia adicional desde el precio actual, en puntos.AtrPeriod– período del indicador ATR.TakeProfit– distancia del take-profit en puntos.StopLoss– distancia del stop-loss en puntos.TrailingStop– distancia del trailing stop en puntos.TradeVolume– volumen de la orden.CandleType– tipo de vela para los cálculos.UseTradingHours– habilitar filtro de horario de trading.StartTime– hora de inicio del trading.StopTime– hora de fin del trading.
Cómo funciona
- Suscripción a velas y cálculo del ATR.
- En cada vela completada:
- Si el intervalo de tiempo configurado ha pasado, se calculan nuevos niveles de compra y venta.
- Si las horas de trading están habilitadas, se verifica que la hora actual esté dentro de la ventana permitida.
- Se coloca una orden de mercado de compra o venta si el precio cruza el nivel correspondiente.
- El stop-loss, take-profit y trailing stop son gestionados automáticamente por la infraestructura de la estrategia.
Notas
- La estrategia opera tanto largo como corto.
- Funciona en cualquier instrumento y marco temporal.
- Los niveles basados en ATR se adaptan a la volatilidad del mercado, permitiendo una detección de rupturas flexible.
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;
/// <summary>
/// Timer ATR breakout strategy.
/// </summary>
public class TimerStrategy : Strategy
{
private readonly StrategyParam<int> _waitSeconds;
private readonly StrategyParam<decimal> _pipDistance;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<decimal> _trailingStop;
private readonly StrategyParam<decimal> _tradeVolume;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<bool> _useTradingHours;
private readonly StrategyParam<TimeSpan> _startTime;
private readonly StrategyParam<TimeSpan> _stopTime;
private readonly List<Order> _pendingOrders = [];
private DateTimeOffset? _lastLevelTime;
private decimal? _buyLevel;
private decimal? _sellLevel;
private decimal? _trailExtreme;
public int WaitSeconds { get => _waitSeconds.Value; set => _waitSeconds.Value = value; }
public decimal PipDistance { get => _pipDistance.Value; set => _pipDistance.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public decimal TrailingStop { get => _trailingStop.Value; set => _trailingStop.Value = value; }
public decimal TradeVolume { get => _tradeVolume.Value; set => _tradeVolume.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public bool UseTradingHours { get => _useTradingHours.Value; set => _useTradingHours.Value = value; }
public TimeSpan StartTime { get => _startTime.Value; set => _startTime.Value = value; }
public TimeSpan StopTime { get => _stopTime.Value; set => _stopTime.Value = value; }
public TimerStrategy()
{
_waitSeconds = Param(nameof(WaitSeconds), 60).SetGreaterThanZero();
_pipDistance = Param(nameof(PipDistance), 10m).SetNotNegative();
_atrPeriod = Param(nameof(AtrPeriod), 14).SetGreaterThanZero();
_takeProfit = Param(nameof(TakeProfit), 100m).SetNotNegative();
_stopLoss = Param(nameof(StopLoss), 50m).SetNotNegative();
_trailingStop = Param(nameof(TrailingStop), 0m).SetNotNegative();
_tradeVolume = Param(nameof(TradeVolume), 1m).SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame());
_useTradingHours = Param(nameof(UseTradingHours), false);
_startTime = Param(nameof(StartTime), TimeSpan.Zero);
_stopTime = Param(nameof(StopTime), new TimeSpan(23, 59, 59));
OrderRegistering += _pendingOrders.Add;
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_lastLevelTime = null;
_buyLevel = null;
_sellLevel = null;
_trailExtreme = null;
_pendingOrders.Clear();
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var point = Security?.PriceStep ?? 1m;
if (point <= 0m)
point = 1m;
var take = TakeProfit > 0m ? new Unit(TakeProfit * point, UnitTypes.Absolute) : null;
var stop = StopLoss > 0m ? new Unit(StopLoss * point, UnitTypes.Absolute) : null;
if (take is not null || stop is not null)
StartProtection(take, stop, useMarketOrders: true);
var atr = new AverageTrueRange { Length = AtrPeriod };
SubscribeCandles(CandleType)
.Bind(atr, (candle, atrValue) =>
{
if (candle.State != CandleStates.Finished || !atr.IsFormed || atrValue <= 0m)
return;
ProcessCandle(candle, atrValue);
})
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal atr)
{
var now = candle.CloseTime;
var point = Security?.PriceStep ?? 1m;
if (point <= 0m)
point = 1m;
var position = ApplyTrailingStop(candle, GetExpectedPosition(), point);
if (IsTradingTime(now.TimeOfDay))
{
if (_buyLevel is decimal buy && candle.ClosePrice >= buy && position <= 0m)
{
BuyMarket(TradeVolume + Math.Abs(position));
_trailExtreme = candle.ClosePrice;
}
else if (_sellLevel is decimal sell && candle.ClosePrice <= sell && position >= 0m)
{
SellMarket(TradeVolume + Math.Abs(position));
_trailExtreme = candle.ClosePrice;
}
}
if (_lastLevelTime is null || now - _lastLevelTime.Value >= TimeSpan.FromSeconds(WaitSeconds))
{
(_buyLevel, _sellLevel) = CalculateLevels(candle.ClosePrice, PipDistance, point, atr);
_lastLevelTime = now;
}
}
/// <summary>
/// Position once the orders still in flight are filled. Protection registers its exit before the
/// candle handler runs, so the handler must not close or size against the position that exit closes.
/// </summary>
private decimal GetExpectedPosition()
{
_pendingOrders.RemoveAll(order => order.State is OrderStates.Done or OrderStates.Failed);
var position = Position;
foreach (var order in _pendingOrders)
position += order.Side == Sides.Buy ? order.Balance : -order.Balance;
return position;
}
private decimal ApplyTrailingStop(ICandleMessage candle, decimal position, decimal point)
{
if (position == 0m)
{
_trailExtreme = null;
return position;
}
if (TrailingStop <= 0m || _trailExtreme is not decimal extreme)
return position;
var trail = TrailingStop * point;
// Earlier candles set the extreme: within this candle the order of high and low is unknown.
if (position > 0m)
{
if (candle.LowPrice <= extreme - trail)
{
SellMarket(position);
_trailExtreme = null;
return 0m;
}
_trailExtreme = Math.Max(extreme, candle.HighPrice);
}
else
{
if (candle.HighPrice >= extreme + trail)
{
BuyMarket(-position);
_trailExtreme = null;
return 0m;
}
_trailExtreme = Math.Min(extreme, candle.LowPrice);
}
return position;
}
private bool IsTradingTime(TimeSpan time)
{
if (!UseTradingHours)
return true;
return StartTime <= StopTime
? time >= StartTime && time <= StopTime
: time >= StartTime || time <= StopTime;
}
internal static (decimal buy, decimal sell) CalculateLevels(
decimal close,
decimal pipDistancePoints,
decimal priceStep,
decimal atr)
{
var distance = pipDistancePoints * priceStep + atr;
return (close + distance, close - distance);
}
}
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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Sides
from StockSharp.Algo.Indicators import AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class timer_strategy(Strategy):
def __init__(self):
super(timer_strategy, self).__init__()
self._wait_seconds = self.Param("WaitSeconds", 60).SetGreaterThanZero()
self._pip_distance = self.Param("PipDistance", 10.0).SetNotNegative()
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero()
self._take_profit = self.Param("TakeProfit", 100.0).SetNotNegative()
self._stop_loss = self.Param("StopLoss", 50.0).SetNotNegative()
self._trailing_stop = self.Param("TrailingStop", 0.0).SetNotNegative()
self._trade_volume = self.Param("TradeVolume", 1.0).SetGreaterThanZero()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1)))
self._use_trading_hours = self.Param("UseTradingHours", False)
self._start_time = self.Param("StartTime", TimeSpan.Zero)
self._stop_time = self.Param("StopTime", TimeSpan(23, 59, 59))
self._pending_orders = []
self._last_level_time = None
self._buy_level = None
self._sell_level = None
self._trail_extreme = None
self.OrderRegistering += self._track_pending_order
def GetWorkingSecurities(self):
return [(self.Security, self._candle_type.Value)]
def OnReseted(self):
super(timer_strategy, self).OnReseted()
self._last_level_time = None
self._buy_level = None
self._sell_level = None
self._trail_extreme = None
self._pending_orders = []
def OnStarted2(self, time):
super(timer_strategy, self).OnStarted2(time)
point = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if point <= 0:
point = 1.0
tp = float(self._take_profit.Value)
sl = float(self._stop_loss.Value)
take = Unit(tp * point, UnitTypes.Absolute) if tp > 0 else None
stop = Unit(sl * point, UnitTypes.Absolute) if sl > 0 else None
if take is not None or stop is not None:
self.StartProtection(take, stop, useMarketOrders=True)
atr = AverageTrueRange()
atr.Length = int(self._atr_period.Value)
def on_candle(candle, atr_value):
if candle.State != CandleStates.Finished or not atr.IsFormed or float(atr_value) <= 0:
return
self._process_candle(candle, float(atr_value))
self.SubscribeCandles(self._candle_type.Value).Bind(atr, on_candle).Start()
def _process_candle(self, candle, atr):
now = candle.CloseTime
step = self.Security.PriceStep if self.Security is not None else None
point = step if step is not None and step > 0 else Decimal.One
position = self._apply_trailing_stop(candle, self._expected_position(), point)
if self._is_trading_time(now.TimeOfDay):
close = float(candle.ClosePrice)
volume = float(self._trade_volume.Value) + abs(float(position))
if self._buy_level is not None and close >= self._buy_level and position <= 0:
self.BuyMarket(volume)
self._trail_extreme = candle.ClosePrice
elif self._sell_level is not None and close <= self._sell_level and position >= 0:
self.SellMarket(volume)
self._trail_extreme = candle.ClosePrice
wait = int(self._wait_seconds.Value)
if self._last_level_time is None or (now - self._last_level_time).TotalSeconds >= wait:
self._buy_level, self._sell_level = self.calculate_levels(
float(candle.ClosePrice), float(self._pip_distance.Value), float(point), atr)
self._last_level_time = now
def _track_pending_order(self, order):
self._pending_orders.append(order)
def _expected_position(self):
# Protection registers its exit before the candle handler runs, so the handler must not
# close or size against the position that exit closes.
self._pending_orders = [o for o in self._pending_orders if o.State not in (OrderStates.Done, OrderStates.Failed)]
position = self.Position
for order in self._pending_orders:
if order.Side == Sides.Buy:
position += order.Balance
else:
position -= order.Balance
return position
def _apply_trailing_stop(self, candle, position, point):
if position == 0:
self._trail_extreme = None
return position
trailing_stop = float(self._trailing_stop.Value)
if trailing_stop <= 0 or self._trail_extreme is None:
return position
trail = Decimal(trailing_stop) * point
extreme = self._trail_extreme
# Earlier candles set the extreme: within this candle the order of high and low is unknown.
if position > 0:
if candle.LowPrice <= extreme - trail:
self.SellMarket(position)
self._trail_extreme = None
return Decimal.Zero
self._trail_extreme = Math.Max(extreme, candle.HighPrice)
else:
if candle.HighPrice >= extreme + trail:
self.BuyMarket(Math.Abs(position))
self._trail_extreme = None
return Decimal.Zero
self._trail_extreme = Math.Min(extreme, candle.LowPrice)
return position
def _is_trading_time(self, value):
if not bool(self._use_trading_hours.Value):
return True
start = self._start_time.Value
stop = self._stop_time.Value
return start <= value <= stop if start <= stop else value >= start or value <= stop
@staticmethod
def calculate_levels(close, pip_distance_points, price_step, atr):
distance = pip_distance_points * price_step + atr
return close + distance, close - distance
def CreateClone(self):
return timer_strategy()