月初第一天策略
许多市场在每月首个交易日因新资金流入而表现偏强。 交易者通常在前月收盘或当天早盘提前买入以抢占先机。 本策略在月初开盘做多,并在第二个交易日开始前离场,利用资金进场带来的上涨。 若预期的强势未出现,则小幅止损以控制风险。
测试表明年均收益约为 97%,该策略在加密市场表现最佳。
细节
- 入场条件:日历效应触发
- 多/空:均可
- 退出条件:止损或反向信号
- 止损:是,按百分比
- 默认值:
CandleType= 15分钟StopLossPercent= 2 由于市场全天交易,日期按UTC日计算;入场发生在当日第一根K线收盘时。 在当月第一根K线开多,并在第一天的最后一根K线平仓。
- 过滤器:
- 类别:季节性
- 方向:双向
- 指标:季节性
- 止损:有
- 复杂度:中等
- 时间框架:日内
- 季节性:是
- 神经网络:否
- 背离:否
- 风险等级:中等
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()