Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -0.858 Tracking Error 0.212 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
import numpy as np class CryptosData(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 1, 1) self.SetCash(100000) cryptos = { "LTCUSD": "LTC", "ETHUSD": "ETH", "ANTUSD": "ANT", "BATUSD": "BAT", "BTCUSD": "BTC", "XVGUSD": "XVG", "ZECUSD": "ZEC", "ZRXUSD": "ZRX" } symbols = [] for key, symbol in cryptos.items(): symbols.append(Symbol.Create(key, SecurityType.Crypto, Market.Bitfinex)) self.AddUniverseSelection(ManualUniverseSelectionModel(symbols)) def OnData(self, data): for symbol in self.ActiveSecurities.Keys: if symbol in data: # self.Debug(data[symbol]) self.Log(data[symbol])