| 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 3.021 Tracking Error 0.269 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
# Four hour indicators test
from AlgorithmImports import *
class DeterminedRedCat(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2022, 6, 1)
self.SetEndDate(2022, 6, 17)
self.SetCash(100000)
self.btc = self.AddCrypto("BTCUSD", Resolution.Minute, Market.GDAX).Symbol
Consolidator = TradeBarConsolidator(timedelta(hours=4))
Consolidator.DataConsolidated += self.BarHandler
self.SubscriptionManager.AddConsolidator(self.btc, Consolidator)
self.macd = MovingAverageConvergenceDivergence(12, 26, 9, MovingAverageType.Exponential)
self.RegisterIndicator(self.btc, self.macd, Consolidator)
self.dmi = AverageDirectionalIndex(14)
self.RegisterIndicator(self.btc, self.dmi, Consolidator)
self.emaTwelve = ExponentialMovingAverage(12)
self.RegisterIndicator(self.btc, self.emaTwelve, Consolidator)
self.SetWarmup(5*35*4, Resolution.Hour)
def BarHandler(self, sender, bar):
if self.IsWarmingUp: return
if not self.macd.IsReady or not self.dmi.IsReady or not self.emaTwelve.IsReady: return
self.Plot(self.btc, "Close", self.Securities[self.btc].Close)
self.Plot(self.btc, "emaTwelve", self.emaTwelve.Current.Value)
self.Plot("ADX", "ADX", self.dmi.Current.Value)
self.Plot("ADX", "DMI+", self.dmi.PositiveDirectionalIndex.Current.Value)
self.Plot("ADX", "DMI-", self.dmi.NegativeDirectionalIndex.Current.Value)
self.Plot("MACD", "MACD", self.macd.Current.Value)
self.Plot("MACD", "Histogram:", self.macd.Histogram.Current.Value)