| 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 |
from QuantConnect.Data.Market import TradeBar
from datetime import *
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *
import decimal as d
import operator
class MyAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2018, 3, 8) # Set Start Date
self.SetEndDate(2018, 3, 14)
self.SetCash(100000) # Set Strategy Cash
self.symbolData = dict()
for ticker in ["SCHW", "IVR", "ABBV", "SPG",
"RY", "BHGE", "REGN", "ONB", "ELY", "ESNT", "PACW", "TTS", "WUBA",
"WERN", "TRPE", "SINA"]:
symbol = self.AddEquity(ticker, Resolution.Second).Symbol
consolidator_daily = TradeBarConsolidator(timedelta(1))
consolidator_daily.DataConsolidated += self.OnDailyData
self.SubscriptionManager.AddConsolidator(symbol, consolidator_daily)
self.symbolData[symbol] = SymbolData()
self.Schedule.On(self.DateRules.EveryDay(),
self.TimeRules.At(9, 30, 2),
Action(self.shortly_after_open_market))
def OnDailyData(self, sender, bar):
self.symbolData[bar.Symbol].daily_rw.Add(bar)
def shortly_after_open_market(self):
for symbol in self.symbolData:
if (self.Securities[symbol].Exchange.ExchangeOpen
):
window = self.symbolData[symbol].window
daily = self.symbolData[symbol].daily_rw
if not (window.IsReady and daily.IsReady): continue
self.Log(str(symbol))
def OnData(self, data):
for symbol in data.Keys:
if data[symbol] is None: continue
window = self.symbolData[symbol].window
window.Add(data[symbol])
daily = self.symbolData[symbol].daily_rw
class SymbolData(object):
def __init__(self):
self.daily_rw = RollingWindow[TradeBar](2)
self.window = RollingWindow[TradeBar](1)