| 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 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
from QuantConnect.Data.Market import TradeBar
from datetime import timedelta
class NadionHorizontalCoreWave(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
HourlyConsolidator = TradeBarConsolidator(timedelta(hours=24))
HourlyConsolidator.DataConsolidated += self.HourlyConsolidator
self.SubscriptionManager.AddConsolidator(self.cryptoSymbol, HourlyConsolidator)
self.window = RollingWindow[TradeBar](2)
self.daily = RollingWindow[TradeBar](2)
def HourlyConsolidator(self, sender, bar):
self.daily.Add(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["BTCUSD"])
if not (self.window.IsReady and self.daily.IsReady): return
currBar = self.window[0].Close
yesterdayc = self.daily[1].Close
self.Debug("currBar: {}, Yesterdayc: {}".format(currBar, yesterdayc))
# if not self.Portfolio.Invested:
# self.SetHoldings("SPY", 1)