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 3.901 Tracking Error 0.126 Treynor Ratio 0 Total Fees $0.00 |
from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Data.Consolidators import * from datetime import timedelta class VerticalParticleEngine(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 7, 20) # Set Start Date self.SetCash(100000) # Set Strategy Cash # self.AddEquity("SPY", Resolution.Minute) #self.cryptoSymbol = self.AddCrypto("BTCUSD", Resolution.Hour, Market.GDAX).Symbol self.security = self.AddEquity("SPY", Resolution.Hour, Market.USA).Symbol HourlyConsolidator = TradeBarConsolidator(timedelta(hours=24)) HourlyConsolidator.DataConsolidated += self.HourlyConsolidator #self.SubscriptionManager.AddConsolidator(self.cryptoSymbol, HourlyConsolidator) self.SubscriptionManager.AddConsolidator(self.security, HourlyConsolidator) self.window = RollingWindow[TradeBar](2) self.daily = RollingWindow[TradeBar](2) def HourlyConsolidator(self, sender, bar): self.daily.Add(bar) self.bar = bar 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 ''' self.window.Add(data["SPY"]) if not (self.window.IsReady and self.daily.IsReady): return currBar = self.window[0].Close yesterdayc = self.daily[1].Close current_close_price = self.window[0].Close b_cond_upper = self.daily[1].High b_cond_low = self.daily[1].Low prev_close = self.daily[1].Close prev_open = self.daily[1].Open self.Debug("current close price: {} , upper boundary: {} , lower boundary: {}, previous close price: {}, previous open price: {} ".\ format(current_close_price, b_cond_upper, b_cond_low, prev_close, prev_open )) #self.Debug("current Bar: {} previous Bar: {}".format(currBar,yesterdayc)) # if not self.Portfolio.Invested: # self.SetHoldings("SPY", 1)