祝後弱気戦略
祝後弱気とは、主要な祝日直後に出来高が薄い状態が続くため、価格が下落する傾向があることを指します。 多くの参加者がまだ不在のため、逆トレンドの動きが勢いを増すことがあります。
テストでは年平均リターンが約112%であることが示されています。外国為替市場で最も効果的です。
この戦略は祝日翌日にショートで入り、通常の参加者が戻り次第すぐに手仕舞います。
低流動性の取引中に過大な損失を避けるため、小さなストップを使用します。
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 minuteHolidays= 2024 NYSE holidaysStopLossPercent= 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。 Holidays はカンマ区切りの yyyy-MM-dd 日付リストで、既定値は2024年のNYSE休場日です(聖金曜日は2024-03-29)。市場は毎日取引されるため、休日の翌暦日に空売りし、その日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 System.Globalization;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Post-Holiday Weakness strategy.
/// Days are UTC days of a market that trades around the clock.
/// Holidays is a comma-separated list of yyyy-MM-dd dates. The market trades every day, so it sells short at the close of the first candle
/// of the calendar day after a holiday and covers at that day's last candle; a percent stop limits the loss.
/// </summary>
public class PostHolidayWeaknessStrategy : Strategy
{
private readonly StrategyParam<string> _holidays;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private readonly HashSet<DateTime> _holidayDates = [];
/// <summary>
/// Comma-separated yyyy-MM-dd holiday dates.
/// </summary>
public string Holidays
{
get => _holidays.Value;
set => _holidays.Value = value;
}
/// <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 PostHolidayWeaknessStrategy()
{
_holidays = Param(nameof(Holidays), "2024-01-01,2024-01-15,2024-02-19,2024-03-29,2024-05-27,2024-06-19,2024-07-04,2024-09-02,2024-11-28,2024-12-25")
.SetDisplay("Holidays", "Comma-separated yyyy-MM-dd holiday dates", "Calendar");
_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;
_holidayDates.Clear();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_holidayDates.Clear();
foreach (var item in Holidays.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries))
_holidayDates.Add(DateTime.ParseExact(item, "yyyy-MM-dd", CultureInfo.InvariantCulture));
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 && _holidayDates.Contains(day.AddDays(-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 System.Globalization import CultureInfo
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Strategies import Strategy
class post_holiday_weakness_strategy(Strategy):
"""
Post-Holiday Weakness strategy.
Days are UTC days of a market that trades around the clock.
Holidays is a comma-separated list of yyyy-MM-dd dates. The market trades every day, so it sells short at the close of the first candle
of the calendar day after a holiday and covers at that day's last candle; a percent stop limits the loss.
"""
def __init__(self):
super(post_holiday_weakness_strategy, self).__init__()
self._holidays_text = self.Param("Holidays", "2024-01-01,2024-01-15,2024-02-19,2024-03-29,2024-05-27,2024-06-19,2024-07-04,2024-09-02,2024-11-28,2024-12-25").SetDisplay("Holidays", "Comma-separated yyyy-MM-dd holiday dates", "Calendar")
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
self._holidays = set()
def OnReseted(self):
super(post_holiday_weakness_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(post_holiday_weakness_strategy, self).OnStarted2(time)
self._reset_state()
self._holidays = set(DateTime.ParseExact(item.strip(), "yyyy-MM-dd", CultureInfo.InvariantCulture) for item in str(self._holidays_text.Value).split(",") if item.strip())
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.AddDays(-1) in self._holidays):
return
if (-1) > 0:
self.BuyMarket(self.Volume)
else:
self.SellMarket(self.Volume)
def CreateClone(self):
return post_holiday_weakness_strategy()