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 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 |
import numpy as np ### <summary> ### Strategy for short and long based on IchiMoku Senkou Span. ### </summary> class MACDAlgorithm(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.''' # ==== Date and Equity Settings ==== self.SetStartDate(2017,8, 1) #Set Start Date self.SetEndDate(2018,9,5) #Set End Date self.SetCash(100000) #Set Strategy Cash # ==== System Inputs ==== TenkanPeriod = 9 KijunPeriod = 26 SenkouAPeriod = 26 SenkouBPeriod = 52 SenkouADelay = 26 SenkouBDelay = 26 self.symbol = "AAPL" self.LongPos = 1.0 self.ShortPos = -1.0 self.SetBenchmark(self.symbol) # ==== Equities Data Structure ==== # Find more symbols here: http://quantconnect.com/data self.AddEquity(self.symbol, Resolution.Hour) self.Debug("numpy test >>> print numpy.pi: " + str(np.pi)) # ==== Forex data structure ==== # forex data is attained from below: #self.forex = self.AddForex(self.symbol, Resolution.Hour, Market.Oanda) #.Symbol # set the brokerage model #self.forex.SetDataNormalizationMode(DataNormalizationMode.SplitAdjusted) #self.SetBrokerageModel(BrokerageName.OandaBrokerage) # ==== Ensure Indicator aquires adequate data before trading ==== self.SetWarmUp(SenkouBPeriod) # ==== Indicators ==== self.Ichi = self.ICHIMOKU(self.symbol, TenkanPeriod, KijunPeriod, SenkouAPeriod, SenkouBPeriod, SenkouADelay, SenkouBDelay, Resolution.Hour) self.Donchian = self.DCH(self.symbol, SenkouBPeriod) self.bolinger = self.BB(self.symbol, 20, 2) 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 ''' #holdings = self.Portfolio[self.symbol].Quantity self.PlotIndicator("Indicator", self.Ichi) #self.PlotIndicator("Donchian", self.Donchian)