PS. I will venture that you are trading options in such a hurry that you would rather always take the displayed market, you would be better of trading the underlying
No options. Trading momentum pockets in mid-large cap stocks, primarily around news/high volatility cycles.
As an experiment, I recently morphed my pricing model, and algo, to backtest trades (big caps) that enter at start of month and exit (OCO) based on multivariable R:R levels, or time stop at last trading day of month. Basically a swing model. I’m using the same tick data that I use for my intraday systems.
One variation (6 month backtest) looks promising, but I can’t tolerate holding overnight portfolios of equities. I’m somewhat versed in options theoretically, but wouldn’t know how to apply them toward the positive expectancy. The model seems to capture profits at tail extremes efficiently. I was thinking, some form of a net long ATM option might produce a decent ROI with good exposure. A method of transferring the underlying entry/exit signals/size into what option/spreads contracts to buy would need to be implemented. No time, but a pinch of motivation to pursue this

