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 -2.284 Tracking Error 0.119 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 |
from QuantConnect.Indicators import * STOCK = "ETHUSD"; RSI_PERIOD = 14; STO_PERIOD = 14; class projectx(QCAlgorithm): chart = None series = None def Initialize(self): self.SetStartDate(2021, 1, 1) self.SetCash(10000) self.stock = self.AddCrypto(STOCK, Resolution.Daily).Symbol self.SetWarmUp((RSI_PERIOD + STO_PERIOD * 7), Resolution.Daily) self.rsi = self.RSI(self.stock, RSI_PERIOD, Resolution.Daily) self.stoch = self.STO(self.stock, STO_PERIOD, 3, 3) # FastStoch, StochK, StochD self.rsi.Updated += self.consolidation_handler self.candles = Series('Daily', SeriesType.Candle) self.chart = Chart('Candles') self.chart.AddSeries(self.candles) self.AddChart(self.chart) def consolidation_handler(self, sender, bar): if self.rsi.IsReady: rsi = self.rsi.Current.Value trade_bar = TradeBar(bar.EndTime, self.stock, rsi, rsi, rsi, rsi, 0) self.stoch.Update(trade_bar) def OnData(self, data): if self.IsWarmingUp or not self.stoch: return self.Plot("Indicator", "StochRSI_FastK", self.stoch.FastStoch.Current.Value) self.Plot("Indicator", "StochRSI_SlowK", self.stoch.StochK.Current.Value) time = self.UtcTime self.candles.AddPoint(time + timedelta(minutes=1), data[STOCK].Open) self.candles.AddPoint(time + timedelta(minutes=2), data[STOCK].High) self.candles.AddPoint(time + timedelta(minutes=3), data[STOCK].Low) self.candles.AddPoint(time + timedelta(minutes=4), data[STOCK].Close) #Project x