Overall Statistics
Total Trades
94
Average Win
6.37%
Average Loss
-5.70%
Compounding Annual Return
-99.237%
Drawdown
61.200%
Expectancy
-0.189
Net Profit
-47.800%
Sharpe Ratio
-0.598
Probabilistic Sharpe Ratio
13.274%
Loss Rate
62%
Win Rate
38%
Profit-Loss Ratio
1.12
Alpha
0
Beta
0
Annual Standard Deviation
1.524
Annual Variance
2.324
Information Ratio
-0.598
Tracking Error
1.524
Treynor Ratio
0
Total Fees
$94.00
Estimated Strategy Capacity
$0
Lowest Capacity Asset
AMZN Y3LLM9TN0Q3Q|AMZN R735QTJ8XC9X
from AlgorithmImports import *
from datetime import datetime as date

class MACD(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2022, 9, 1)
        self.SetCash(500)

        self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin)

        self.LastTime = None
        self.entryTicket = None
        self.macd = dict()
        self.symbols = []

        symbols = ["AAPL","MSFT","GOOGL","AMZN"]

        for ticker in symbols:
            symbol = self.AddEquity(ticker, Resolution.Minute).Symbol
            option = self.AddOption(symbol, Resolution.Minute)
            self.symbols.append(option.Symbol)
            option.SetFilter(-100, 100, timedelta(41), timedelta(60))
            self.macd[symbol] = self.MACD(ticker, 12, 26, 9, MovingAverageType.Simple, Resolution.Minute)
        
        self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.At(15, 45), self.Liquidate)
        
    def OnData(self, data):
        if not all([macd.IsReady for symbol, macd in self.macd.items()]):
            return

        if self.Portfolio.Invested:
            return

        for symbol, macd in self.macd.items():
            if macd.Current.Value < -0.5:
                for symbol in self.symbols:
                    for kvp in data.OptionChains:
                            if kvp.Key == symbol:
                                chains = kvp.Value
                                self.BuyCall(chains)

    def BuyCall(self,chains):
        expiry = sorted(chains,key = lambda x: x.Expiry, reverse=False)[0].Expiry
        calls = [kvp for kvp in chains if 
                kvp.Expiry == expiry
                and kvp.Right == OptionRight.Call
                and kvp.AskPrice > 1]
        call_contracts = sorted(sorted(calls,                              
                                        key = lambda x: abs(x.Strike - x.UnderlyingLastPrice)),\
                                        key = lambda x: x.AskPrice, reverse=False)
        if len(call_contracts) == 0: 
            return
        self.call = call_contracts[0]
        
        quantity = math.ceil((0.1 * self.Portfolio.TotalPortfolioValue) / (self.call.AskPrice*100))

        self.entry_ticket = self.LimitOrder(self.call.Symbol, quantity, round(self.call.AskPrice,2))