| Overall Statistics |
|
Total Trades 2 Average Win 0% Average Loss -0.94% Compounding Annual Return -6.306% Drawdown 21.200% Expectancy -1 Net Profit -1.042% Sharpe Ratio 0.024 Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 1.133 Beta -57.584 Annual Standard Deviation 0.383 Annual Variance 0.147 Information Ratio -0.027 Tracking Error 0.383 Treynor Ratio 0 Total Fees $4.75 |
import numpy as np
### <summary>
### Basic template algorithm simply initializes the date range and cash. This is a skeleton
### framework you can use for designing an algorithm.
### </summary>
class BasicTemplateAlgorithm(QCAlgorithm):
'''Basic template algorithm simply initializes the date range and cash'''
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2018,1, 2) #Set Start Date
self.SetEndDate(2018,3,1) #Set End Date
self.SetCash(100000) #Set Strategy Cash
self.Portfolio.MarginModel = MarginCallModel.Null
# Find more symbols here: http://quantconnect.com/data
self.AddEquity("SPY", Resolution.Second)
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
if not self.Portfolio.Invested:
self.SetHoldings("SPY", 5)