Created with Highcharts 12.1.2Equity201620172018201920202021202220232024202520260100k200k300k400k500k600k700k800k
Overall Statistics
Total Orders
6758
Average Win
0.71%
Average Loss
-0.64%
Compounding Annual Return
21.626%
Drawdown
34.000%
Expectancy
0.094
Start Equity
100000.00
End Equity
612519.22
Net Profit
512.519%
Sharpe Ratio
0.757
Sortino Ratio
0.952
Probabilistic Sharpe Ratio
26.263%
Loss Rate
48%
Win Rate
52%
Profit-Loss Ratio
1.11
Alpha
0.135
Beta
0.068
Annual Standard Deviation
0.185
Annual Variance
0.034
Information Ratio
0.267
Tracking Error
0.23
Treynor Ratio
2.069
Total Fees
$124669.50
Estimated Strategy Capacity
$160000.00
Lowest Capacity Asset
BTCUSD E3
Portfolio Turnover
199.39%
# https://quantpedia.com/strategies/intraday-seasonality-in-bitcoin/
#
# The investment universe consists of Bitcoin and the data are obtained from Gemini exchange. To exploit the seasonality, open a long position in the BTC at 22:00 (UTC +0) and hold it for two hours. The position is closed after the two hour holding period.
#
# QC implementation changes:
#   - BTC data are obtained from Bitfinex exchange.

# region imports
from AlgorithmImports import *
# endregion

class OvernightSeasonalityinBitcoin(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2016, 1, 1)
        self.SetCash(100000)
        
        # NOTE Coinbase Pro, CoinAPI, and Bitfinex data is all set in UTC Time. This means that when accessing data from this brokerage, all data will be time stamped in UTC Time.
        self.crypto = self.AddCrypto("BTCUSD", Resolution.Minute, Market.Bitfinex)
        self.crypto.SetLeverage(10)
        self.crypto.SetFeeModel(CustomFeeModel())
        self.crypto = self.crypto.Symbol

        self.open_trade_hour:int = 22
        self.close_trade_hour:int = 0

    def OnData(self, data):
        if self.crypto in data and data[self.crypto]:
            time:datetime.datetime = self.UtcTime

            # open long position
            if time.hour == self.open_trade_hour and time.minute == 0:
                self.SetHoldings(self.crypto, 1)
            
        # close position
        if time.hour == self.close_trade_hour and time.minute == 0:
            if self.Portfolio[self.crypto].Invested:
                self.Liquidate(self.crypto)

class CustomFeeModel(FeeModel):
    def GetOrderFee(self, parameters):
        fee = parameters.Security.Price * parameters.Order.AbsoluteQuantity * 0.00005
        return OrderFee(CashAmount(fee, "USD"))