| Overall Statistics |
|
Total Trades 9 Average Win 0% Average Loss -0.01% Compounding Annual Return 147.841% Drawdown 83.800% Expectancy -1 Net Profit 18283.539% Sharpe Ratio 2.04 Probabilistic Sharpe Ratio 81.560% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0.629 Annual Variance 0.395 Information Ratio 2.04 Tracking Error 0.629 Treynor Ratio 0 Total Fees $1.00 Estimated Strategy Capacity $1800.00 |
from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *
from QuantConnect.Data.Market import TradeBar
class RollingWindowAlgorithm(QCAlgorithm):
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2015,8,1) #Set Start Date
#self.SetEndDate(2013,11,1) #Set End Date
self.SetCash(1000) #Set Strategy Cash
self.benchmarkTicker = "BTCUSD"
self.SetBenchmark(self.benchmarkTicker)
self.symbols =['BTCUSD']
for symbol in self.symbols:
self.AddCrypto(symbol, Resolution.Daily, Market.GDAX)
self.SetBrokerageModel(BrokerageName.AlphaStreams)
##########################################################################################################################
##########################################################################################################################
def OnData(self, data):
# self.SetHoldings('BTCUSD', 1 )
close = data['BTCUSD'].Close
quantity = self.CalculateOrderQuantity('BTCUSD', 1)
self.LimitOrder('BTCUSD', quantity, close * 0.95)