月曜日の弱さ戦略
月曜日の弱さは、週末後にトレーダーがニュースを消化しポジションを調整するため、株式が安く寄り付く傾向があることを指します。 週初めに短期的な弱気圧力が生じ、市場が落ち着くまで続くことがあります。
テストでは年平均リターンが約106%であることが示されています。株式市場で最も効果的です。
この戦略は月曜日の寄り付きでショートを入れ、引け時に手仕舞い、その初期の弱さから利益を狙います。
市場が傾向に反して上昇した場合の損失を避けるため、ストップは狭く設定します。
詳細
- エントリー条件: カレンダー効果のトリガー
- ロング/ショート: 両方
- エグジット条件: ストップロスまたは逆シグナル
- ストップ: はい、パーセントベース
- デフォルト値:
CandleType= 15 minuteStopLossPercent= 2 市場は24時間取引のため日付はUTCで数え、エントリーはその日の最初の足の終値で行います。 月曜の最初の足で空売りし、月曜の最後の足で買い戻します。
- フィルター:
- カテゴリ: 季節性
- 方向: 両方
- インジケーター: 季節性
- ストップ: はい
- 複雑さ: 中級
- 時間軸: イントラデイ
- 季節性: はい
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
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>
/// Monday Weakness strategy.
/// Days are UTC days of a market that trades around the clock.
/// It sells short at the close of Monday's first candle and covers at Monday's last candle; a percent stop limits the loss.
/// </summary>
public class MondayWeaknessStrategy : 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 MondayWeaknessStrategy()
{
_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 == DayOfWeek.Monday))
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 monday_weakness_strategy(Strategy):
"""
Monday Weakness strategy.
Days are UTC days of a market that trades around the clock.
It sells short at the close of Monday's first candle and covers at Monday's last candle; a percent stop limits the loss.
"""
def __init__(self):
super(monday_weakness_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(monday_weakness_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(monday_weakness_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.Monday):
return
if (-1) > 0:
self.BuyMarket(self.Volume)
else:
self.SellMarket(self.Volume)
def CreateClone(self):
return monday_weakness_strategy()