Muchos mercados exhiben un sesgo alcista en el primer día de negociación del mes a medida que nuevo capital fluye hacia los fondos.
Los traders intentan adelantarse a este efecto comprando al cierre del mes anterior o al inicio de la sesión.
Las pruebas indican un rendimiento anual promedio de aproximadamente el 97%. Funciona mejor en el mercado de criptomonedas.
La estrategia entra en largo al inicio del mes y sale antes de que comience el segundo día, capturando el típico aumento de la presión compradora.
Un pequeño stop protege contra sorpresas bajistas si la fortaleza esperada no se materializa.
Detalles
Criterios de entrada: desencadenadores de efecto calendario
Largo/Corto: Ambos
Criterios de salida: stop-loss o señal opuesta
Stops: Sí, basado en porcentaje
Valores predeterminados:
CandleType = 15 minute
StopLossPercent = 2
Los días son días UTC, ya que el mercado opera las 24 horas; las entradas ocurren al cierre de la primera vela del día. La compra se abre en la primera vela del mes y se cierra en la última vela de ese primer día.
Filtros:
Categoría: Estacionalidad
Dirección: Ambos
Indicadores: Estacionalidad
Stops: Sí
Complejidad: Intermedio
Marco temporal: Intradía
Estacionalidad: Sí
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Medio
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>
/// First Day of Month strategy.
/// Days are UTC days of a market that trades around the clock.
/// It buys at the close of the first candle of each month and sells at the last candle of that first day;
/// a percent stop limits the loss.
/// </summary>
public class FirstDayOfMonthStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
/// <summary>
/// Stop-loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public FirstDayOfMonthStrategy()
{
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_day = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
var firstOfDay = _day != day;
if (firstOfDay)
{
_day = day;
}
// The candle is the day's last when the next one would open on another day.
var frame = CandleType.Arg is TimeSpan tf ? tf : TimeSpan.Zero;
var lastOfDay = (candle.OpenTime + frame).Date != day;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position != 0)
{
if (lastOfDay)
{
if (Position > 0)
SellMarket(Position);
else
BuyMarket(-Position);
}
return;
}
if (!(firstOfDay && day.Day == 1))
return;
if ((1) > 0)
BuyMarket(Volume);
else
SellMarket(Volume);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, DateTime, DayOfWeek, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Strategies import Strategy
class first_day_of_month_strategy(Strategy):
"""
First Day of Month strategy.
Days are UTC days of a market that trades around the clock.
It buys at the close of the first candle of each month and sells at the last candle of that first day;
a percent stop limits the loss.
"""
def __init__(self):
super(first_day_of_month_strategy, self).__init__()
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._day = None
def OnReseted(self):
super(first_day_of_month_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(first_day_of_month_strategy, self).OnStarted2(time)
self._reset_state()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
first_of_day = self._day is None or self._day != day
if first_of_day:
self._day = day
# The candle is the day's last when the next one would open on another day.
frame = self.candle_type.Arg
last_of_day = (candle.OpenTime + frame).Date != day
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position != 0:
if last_of_day:
if self.Position > 0:
self.SellMarket(self.Position)
else:
self.BuyMarket(-self.Position)
return
if not (first_of_day and day.Day == 1):
return
if (1) > 0:
self.BuyMarket(self.Volume)
else:
self.SellMarket(self.Volume)
def CreateClone(self):
return first_day_of_month_strategy()