from EigenLedger import portfolio_analysis, Engineportfolio =Engine( start_date="2018-06-09", #start date for the backtesting portfolio= ["BABA", "PDD", "KO", "AMD","^IXIC"], #assets in your portfolio weights = [0.2, 0.2, 0.2, 0.2, 0.2], #equal weighting is set by default benchmark = ["SPY"] #SPY is set by default)portfolio_analysis(portfolio)