BTC Seasonality Strategy
This strategy opens a position based on predefined day-of-week and hour rules using Eastern Standard Time (EST). The user chooses the entry day and hour, the exit day and hour, and whether to trade long or short. The position is opened at the specified entry moment and closed at the specified exit moment.
Details
- Entry Criteria:
- Current EST day equals
EntryDayand current hour equalsEntryHour.
- Current EST day equals
- Long/Short: Configurable.
- Exit Criteria:
- Current EST day equals
ExitDayand current hour equalsExitHour.
- Current EST day equals
- Stops: None.
- Default Values:
EntryDay= SaturdayExitDay= MondayEntryHour= 10ExitHour= 10IsLong= true
- Filters:
- Category: Seasonality
- Direction: Configurable
- Indicators: None
- Stops: No
- Complexity: Low
- Timeframe: Any
- Seasonality: Yes
- Neural networks: No
- Divergence: No
- Risk level: Low
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>
/// BTC Seasonality strategy.
/// Uses EMA crossover to capture seasonal momentum trends.
/// Goes long on golden cross, short on death cross.
/// </summary>
public class BtcSeasonalityStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public BtcSeasonalityStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).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();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
{
BuyMarket();
}
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
{
SellMarket();
}
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class btc_seasonality_strategy(Strategy):
def __init__(self):
super(btc_seasonality_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def fast_ema_period(self):
return self._fast_ema_period.Value
@property
def slow_ema_period(self):
return self._slow_ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(btc_seasonality_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(btc_seasonality_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ema_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def OnProcess(self, candle, fast_ema_value, slow_ema_value):
if candle.State != CandleStates.Finished:
return
if self._prev_fast_ema == 0 or self._prev_slow_ema == 0:
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_ema_value > slow_ema_value and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_ema_value < slow_ema_value and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = float(fast_ema_value)
self._prev_slow_ema = float(slow_ema_value)
def CreateClone(self):
return btc_seasonality_strategy()