| 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 Probabilistic 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 -0.017 Tracking Error 0.109 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
from QuantConnect.Data.Custom.CBOE import CBOE
from QuantConnect.Data.Custom.Fred import *
class RSIAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2020, 1, 1)
self.SetEndDate(2020, 2, 1)
self.SetCash(1000000)
self.buffer = 0.02
self.Settings.FreePortfolioValuePercentage = self.buffer
self.UniverseSettings.Resolution = Resolution.Minute
self.UniverseSettings.ExtendedMarketHours = True
self.SetBrokerageModel(BrokerageName.AlphaStreams)
self.vix = self.AddData(CBOE, 'VIX', Resolution.Daily).Symbol
self.value = self.AddEquity("SPY", Resolution.Minute).Symbol
tickers = [self.value]
self.SetUniverseSelection(ManualUniverseSelectionModel(tickers))
ValueDailyConsolidator = TradeBarConsolidator(timedelta(days=1))
ValueDailyConsolidator.DataConsolidated += self.ValueDailyBarHandler
self.SubscriptionManager.AddConsolidator("SPY", ValueDailyConsolidator)
self.valuesma = self.SMA(self.value, 1, Resolution.Daily)
self.Schedule.On(self.DateRules.EveryDay(self.value), self.TimeRules.AfterMarketOpen(self.value, -30), Action(self.trade))
self.SetWarmUp(100)
self.valueClose = None
def ValueDailyBarHandler(self, sender, bar):
self.Log(f'New Bar: {bar.Close} @ {self.Time}')
# Saving new bar to variable:
self.valueClose = bar.Close
def trade(self):
# if self.valueClose is not None:
self.Log(f'Time: {self.Time}')
self.Log(f'Value Close: {self.valueClose}')
self.Log(f'Value SMA: {self.valuesma.Current.Value}')
self.Log("-------------------")
def OnData(self, data):
pass