| Overall Statistics |
|
Total Trades 6 Average Win 1.37% Average Loss 0% Compounding Annual Return -6.493% Drawdown 4.100% Expectancy 0 Net Profit -1.043% Sharpe Ratio -0.506 Probabilistic Sharpe Ratio 24.894% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.057 Beta 0.058 Annual Standard Deviation 0.101 Annual Variance 0.01 Information Ratio -0.967 Tracking Error 0.166 Treynor Ratio -0.877 Total Fees $9.00 |
# I schedule signal Before trade - Say 8AM
# I schedule trade after market open - Say 10AM
# I need daily indicators updated for signal before trade
class IndicatorsTest(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2021,1,1)
self.SetEndDate(2021,2,28)
self.SetCash(100000)
self.QQQ = self.AddEquity("QQQ", Resolution.Daily).Symbol
self.TickerTable = {}
self.rsi = self.RSI(self.QQQ, 14, MovingAverageType.DoubleExponential, Resolution.Daily)
self.rsiSMA = IndicatorExtensions.SMA(self.rsi,14)
self.macd = self.MACD(self.QQQ, 12,26,9,MovingAverageType.Exponential, Resolution.Daily)
self.macdSMA = IndicatorExtensions.SMA(self.macd,9)
self.rc = self.RC(self.QQQ,12, 2, Resolution.Daily)
self.ppo = self.PPO(self.QQQ, 10,12, MovingAverageType.Exponential, Resolution.Daily)
self.ppoSMA = IndicatorExtensions.SMA(self.ppo,10)
self.sma = self.SMA(self.QQQ,50,Resolution.Daily)
# symbolData = SymbolData(self.QQQ, rsi, rsiSMA, macd, macdSMA, rc, ppo, ppoSMA,sma)
# self.TickerTable[self.QQQ] = symbolData
self.Log(f"{self.Time}, Price, RSI, RSI_SMA, PPO, PPO_SMA, SLOPE, MACD, MACD_SMA, HIST, SMA")
self.SetWarmUp(timedelta(days=120)) # Minimum should be RSI period X 2 + 1
# --------------------------------------------------- Schedules --------------------------------------------
# self.Schedule.On(self.DateRules.EveryDay("QQQ"),self.TimeRules.At(8,0), self.LogIndicator) # We update the indicators in OnData instead of in this scheduled event.
self.Schedule.On(self.DateRules.EveryDay("QQQ"),self.TimeRules.AfterMarketOpen("QQQ",30), self.Trade) # FYI, you can use -30 if you want to send an order before Market opens.
# ------------------------------------------------- On Data -----------------------------------------------------
def OnData(self, data):
if self.IsWarmingUp:
return
# Indicators will be updated every time OnData is run, which is everytime it is fed new data.
self.QQQ_RSI = self.rsi.Current.Value
self.QQQ_RSI_SMA = self.rsiSMA.Current.Value
self.QQQ_PPO = self.ppo.Current.Value
self.QQQ_PPO_SMA = self.ppoSMA.Current.Value
self.QQQ_MACD = self.macd.Current.Value
self.QQQ_MACD_SMA = self.macdSMA.Current.Value
self.QQQ_MACD_Signal = self.macd.Signal.Current.Value
self.QQQ_MACD_Histogram = self.macd.Histogram.Current.Value
self.QQQ_SLOPE = self.rc.Slope.Current.Value
self.QQQ_SMA = self.sma.Current.Value
self.Log(f"Before Trade: {self.Time}, {self.Securities[self.QQQ].Price}, {self.QQQ_RSI}, {self.QQQ_RSI_SMA}, {self.QQQ_PPO}, {self.QQQ_PPO_SMA}, {self.QQQ_SLOPE}, {self.QQQ_MACD}, {self.QQQ_MACD_SMA}, {self.QQQ_MACD_Histogram}, {self.QQQ_SMA}")
# Alternatively, you can also place the trade logic here:
self.Trade()
# ----------------------------------------- Trade After Market open------------------------------------------
def Trade(self):
self.Log("Trading logic and execution here")
if self.QQQ_RSI < 30:
self.SetHoldings(self.QQQ, 1)
else:
self.Liquidate()
# self.QQQ_RSI = self.TickerTable[self.QQQ].Rsi.Current.Value
# self.QQQ_RSI_SMA = self.TickerTable[self.QQQ].RsiSMA.Current.Value
# self.QQQ_PPO = self.TickerTable[self.QQQ].Ppo.Current.Value
# self.QQQ_PPO_SMA = self.TickerTable[self.QQQ].PpoSMA.Current.Value
# self.QQQ_MACD = self.TickerTable[self.QQQ].Macd.Current.Value
# self.QQQ_MACD_SMA = self.TickerTable[self.QQQ].MacdSMA.Current.Value
# self.QQQ_MACD_Signal = self.TickerTable[self.QQQ].Macd.Signal.Current.Value
# self.QQQ_MACD_Histogram = self.TickerTable[self.QQQ].Macd.Histogram.Current.Value
# self.QQQ_SLOPE = self.TickerTable[self.QQQ].Rc.Slope.Current.Value
# self.QQQ_SMA = self.TickerTable[self.QQQ].Sma.Current.Value
# self.Log(f"Trade open: {self.Time}, {self.Securities[self.QQQ].Price}, {self.QQQ_RSI}, {self.QQQ_RSI_SMA}, {self.QQQ_PPO}, {self.QQQ_PPO_SMA}, {self.QQQ_SLOPE}, {self.QQQ_MACD}, {self.QQQ_MACD_SMA}, {self.QQQ_MACD_Histogram}, {self.QQQ_SMA}")
# ----------------------------------------- Log Indicators Before Market Open--------------------------------
# def LogIndicator(self):
# # I NEED TO UPDATE INDICATORS HERE - Before trade
# self.QQQ_RSI = self.TickerTable[self.QQQ].Rsi.Current.Value
# self.QQQ_RSI_SMA = self.TickerTable[self.QQQ].RsiSMA.Current.Value
# self.QQQ_PPO = self.TickerTable[self.QQQ].Ppo.Current.Value
# self.QQQ_PPO_SMA = self.TickerTable[self.QQQ].PpoSMA.Current.Value
# self.QQQ_MACD = self.TickerTable[self.QQQ].Macd.Current.Value
# self.QQQ_MACD_SMA = self.TickerTable[self.QQQ].MacdSMA.Current.Value
# self.QQQ_MACD_Signal = self.TickerTable[self.QQQ].Macd.Signal.Current.Value
# self.QQQ_MACD_Histogram = self.TickerTable[self.QQQ].Macd.Histogram.Current.Value
# self.QQQ_SLOPE = self.TickerTable[self.QQQ].Rc.Slope.Current.Value
# self.QQQ_SMA = self.TickerTable[self.QQQ].Sma.Current.Value
# self.Log(f"Before Trade: {self.Time}, {self.Securities[self.QQQ].Price}, {self.QQQ_RSI}, {self.QQQ_RSI_SMA}, {self.QQQ_PPO}, {self.QQQ_PPO_SMA}, {self.QQQ_SLOPE}, {self.QQQ_MACD}, {self.QQQ_MACD_SMA}, {self.QQQ_MACD_Histogram}, {self.QQQ_SMA}")
# ---------------------------------------------- SymbolData --------------------------------------------------
# class SymbolData:
# def __init__(self, symbol, rsi, rsiSMA, macd, macdSMA, rc, ppo, ppoSMA, sma):
# self.Symbol = symbol
# self.Rsi = rsi
# self.RsiSMA =rsiSMA
# self.Macd = macd
# self.MacdSMA = macdSMA
# self.Rc = rc
# self.Ppo = ppo
# self.PpoSMA = ppoSMA
# self.Sma = sma