Every quant has been there. You’re backtesting a strategy, the overall results look good, but something feels off when you dig into the day-by-day breakdown. You keep digging while your gut says “this feels like data mining,” but the statistics keep pointing to the same uncomfortable truth – some trading days are just bad for business. That’s where I found myself...
This promising strategy comes from Option Alpha’s comprehensive research on trading SPX breakouts with zero-day-to-expiration (0DTE) credit spreads – selling one option while buying a further OTM option for protection, collecting premium with defined risk. If you’re not famliar with Option Alpha, and are serious about trading options, I highly recommend you check them...
This strategy was inspired by u/mori226. The system trades options spreads (diagonals) around earnings volatility, buying when IV is lowest, selling when it is highest. Current work-in-progress is in the embedded PDF below and includes backtest results from my prototyping in OptionStack. Spread Entry Long: One month after earnings, buy cheap LEAP calls.Entry Criteria (all must be met)It’s been at...
I’ve been doing some research on portfolio hedges using Quantconnect and it’s quite interesting. Here are the results from backtesting a ‘Protective SPY Put’ hedge. Summary of Results: It’s proven to be effective, but there is some selection bias at play. ie: In my backtest, I’ve picked Put options that are ‘just the right’ distance away from spot...