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
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0
Beta
0
Annual Standard Deviation
0
Annual Variance
0
Information Ratio
0
Tracking Error
0
Treynor Ratio
0
Total Fees
$0.00
 
import math
import numpy as np
import pandas as pd
import statistics

from datetime import datetime, timedelta


class BasicTemplateAlgorithm(QCAlgorithm):

    def Initialize(self):

        self.SetCash(100000)
        self.SetStartDate(2015, 8, 1)
        self.SetEndDate(2015, 9, 30)
            
        # Add securities and get the data
        self.equities = ["SPY","IWM"]
        self.roc = []
        self.stdev = []
        for s in self.equities:
            self.AddEquity(s, Resolution.Minute)
            self.roc.append(self.ROCP(s, 1, Resolution.Daily))
            self.stdev.append(self.STD(s, 20, Resolution.Daily))

        # Schedule trades at 10am    
        self.Schedule.On(self.DateRules.EveryDay("SPY"),
                 self.TimeRules.AfterMarketOpen("SPY", 5),       
                 Action(self.Rebalance))
        
        # Days to warm up the indicators
        self.SetWarmup(timedelta(20))
        
    def OnData(self, slice):
        pass
    
    def Rebalance(self):
        
        prices = self.History(self.equities, 21, Resolution.Daily)['close']
        roc = [(prices[i]-prices[i-1])/prices[i] for i in range(0,len(prices))]
        self.Log(str(roc))
        #self.Log("{0} {1} stdev: {2} ".format(str(self.Time), self.equities[i], str(roc)))