O Efeito Dia da Semana explora a tendência dos mercados de exibir comportamento recorrente em dias específicos da semana.
Alguns índices mostram força consistente no meio da semana, enquanto segunda-feira ou sexta-feira podem ser relativamente fracos.
Os testes indicam um retorno anual médio de aproximadamente 85%. Funciona melhor no mercado de criptomoedas.
A estratégia abre operações com base nessas tendências históricas, comprando ou vendendo no início da sessão e saindo no fechamento.
Um stop moderado protege contra anomalias, encerrando a posição antecipadamente se o padrão falhar em um determinado dia.
Detalhes
Critérios de entrada: gatilhos de efeito calendário
Comprado/Vendido: Ambos
Critérios de saída: stop-loss ou sinal oposto
Stops: Sim, baseado em percentual
Valores padrão:
CandleType = 15 minute
StopLossPercent = 2
Os dias são dias UTC, pois o mercado negocia 24 horas; as entradas ocorrem no fechamento da primeira vela do dia. De terça a quinta compra e às segundas e sextas vende a descoberto; a posição fecha na última vela do dia e não se opera nos fins de semana.
Filtros:
Categoria: Sazonalidade
Direção: Ambos
Indicadores: Sazonalidade
Stops: Sim
Complexidade: Intermediário
Período: Intradiário
Sazonalidade: Sim
Redes neurais: Não
Divergência: Não
Nível de risco: Médio
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>
/// Day of Week strategy.
/// Days are UTC days of a market that trades around the clock.
/// At the close of each weekday's first candle it buys on Tuesday, Wednesday and Thursday and sells short on Monday and Friday;
/// the position closes at the day's last candle, and a percent stop limits the loss. Weekends are not traded.
/// </summary>
public class DayOfWeekStrategy : 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 DayOfWeekStrategy()
{
_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.DayOfWeek is >= DayOfWeek.Monday and <= DayOfWeek.Friday))
return;
if ((day.DayOfWeek is DayOfWeek.Monday or DayOfWeek.Friday ? -1 : 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 day_of_week_strategy(Strategy):
"""
Day of Week strategy.
Days are UTC days of a market that trades around the clock.
At the close of each weekday's first candle it buys on Tuesday, Wednesday and Thursday and sells short on Monday and Friday;
the position closes at the day's last candle, and a percent stop limits the loss. Weekends are not traded.
"""
def __init__(self):
super(day_of_week_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(day_of_week_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(day_of_week_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.DayOfWeek != DayOfWeek.Saturday and day.DayOfWeek != DayOfWeek.Sunday):
return
if (-1 if day.DayOfWeek == DayOfWeek.Monday or day.DayOfWeek == DayOfWeek.Friday else 1) > 0:
self.BuyMarket(self.Volume)
else:
self.SellMarket(self.Volume)
def CreateClone(self):
return day_of_week_strategy()