| Overall Statistics |
|
Total Trades 2 Average Win 0% Average Loss -66.52% Compounding Annual Return -9.462% Drawdown 84.300% Expectancy -1 Net Profit -66.515% Sharpe Ratio -0.119 Probabilistic Sharpe Ratio 0.012% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.096 Beta 0.355 Annual Standard Deviation 0.343 Annual Variance 0.118 Information Ratio -0.554 Tracking Error 0.355 Treynor Ratio -0.115 Total Fees $33.01 Estimated Strategy Capacity $310000.00 |
from datetime import datetime,timedelta
import numpy as np
class ScheduledEventsAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2010, 1, 1) # Set Start Date
self.SetEndDate(2021, 1, 1) # Set end date
self.SetCash(40000) # Set Strategy Cash
#self.symbol="XLK"
self.XLK = self.AddEquity("APHA", Resolution.Hour)
#self.DBA = self.AddEquity("DBA", Resolution.Hour)
#self.forex = self.AddForex(self.symbol, Resolution.Minute, Market.Oanda)
#self.SetBrokerageModel(BrokerageName.Alpaca)
#self.SetBrokerageModel(BrokerageName.Oanda)
def OnData(self, data):
if not self.Portfolio.Invested:
self.SetHoldings("APHA",1)
#self.SetHoldings("DBA",-1)