| 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
import pandas as pd
import talib as tb
class UnfilledGap(QCAlgorithm):
stopMarketTicket = None
StopPrice = 0
MarketTicket = None
def Initialize(self):
self.SetStartDate(2019, 1, 1)
self.SetEndDate(2019, 8, 30)
self.SetCash(100000)
self.Keys = self.AddEquity("KEYS", Resolution.Daily)
self.OneDayATR = self.ATR("KEYS", 1, MovingAverageType.Simple, Resolution.Daily)
self.Window = RollingWindow[TradeBar](3)
self.TwentyDayATR = self.ATR("KEYS", 20, MovingAverageType.Simple, Resolution.Daily)
self.SetWarmup(20, Resolution.Daily)
def TradeBarHandler(self, TradeBar):
self.Window.Add(TradeBar);
def OnData(self, data):
if not self.Window.IsReady:
return
if self.OneDayATR.IsReady and self.TwentyDayATR.IsReady:
OneDayATR = self.OneDayATR.Current.Value
TwentyDayATR = self.TwentyDayATR.Current.Value
if not self.Portfolio.Invested and OneDayATR is not None and TwentyDayATR is not None and self.Window.IsReady:
if OneDayATR > TwentyDayATR and self.Securities["KEYS"].Price > self.Window[0].High:
self.MarketOrder("KEYS", 100, True, '1st day')
if OneDayATR > TwentyDayATR and self.Securities["KEYS"].Price > self.Window[1].High:
self.MarketOrder("KEYS", 100, True, '2nd day')
if OneDayATR > TwentyDayATR and self.Securities["KEYS"].Price > self.Window[2].High:
self.MarketOrder("KEYS", 100, True, '3rd day')
self.Log("OneDayATR: {} TwentyDayATR: {}".format(str(OneDayATR),str(TwentyDayATR)))