| Overall Statistics |
|
Total Trades 5 Average Win 1.01% Average Loss 0% Compounding Annual Return -17.834% Drawdown 4.600% Expectancy 0 Net Profit -2.690% Sharpe Ratio -1.413 Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.228 Beta 0.786 Annual Standard Deviation 0.129 Annual Variance 0.017 Information Ratio -3.269 Tracking Error 0.073 Treynor Ratio -0.232 Total Fees $16.62 |
from QuantConnect.Data.Market import TradeBar
from datetime import timedelta
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *
import decimal as d
class MyAlgorithm(QCAlgorithm):
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(2016,05,1) #Set Start Date
self.SetEndDate(2016,06,5) #Set End Date
self.SetCash(100000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
self.AddEquity("SPY", Resolution.Second)
consolidator = TradeBarConsolidator(timedelta(1))
consolidator.DataConsolidated += self.OnDailyData
self.SubscriptionManager.AddConsolidator("SPY", consolidator)
consolidatorm = TradeBarConsolidator(60)
consolidatorm.DataConsolidated += self.OnMinuteData
self.SubscriptionManager.AddConsolidator("SPY", consolidatorm)
self.daily = RollingWindow[TradeBar](2)
self.minute = RollingWindow[TradeBar](2)
self.window = RollingWindow[TradeBar](2)
self.Schedule.On(self.DateRules.EveryDay(),
self.TimeRules.At(9, 31),
Action(self.One))
# Add daily bar to daily rolling window
def OnDailyData(self, sender, bar):
self.daily.Add(bar)
def OnMinuteData(self, sender, bar):
self.minute.Add(bar)
def One(self):
if not (self.window.IsReady and self.daily.IsReady and self.minute.IsReady): return
currBar = self.window[0].Close
yesterdayc = self.daily[1].Close
minuteBarC = self.minute[1].Close
minuteBar0 = self.minute[1].Open
self.Debug(str(self.Securities["SPY"].Price) + "," + str(currBar)+str(minuteBar0)+str(minuteBarC))
if not self.Portfolio.Invested and currBar<yesterdayc and minuteBar0<minuteBarC:
self.SetHoldings("SPY", 1)
# Add second bar to window rolling window
def OnData(self, data):
self.Debug("haha")
self.window.Add(data["SPY"])
factor = d.Decimal(1.01)
if not (self.window.IsReady and self.daily.IsReady): return
currBar = self.window[0].Close
if self.Portfolio["SPY"].AveragePrice *factor< currBar:
self.SetHoldings("SPY", 0)