Replies

I am mostly a long-term investor in growth stocks (disruptors like Nvidia). But most of my analysis work using AI recently has been focused on buying Nvidia calls when it spikes downward.

I use AI to analyze/locate predictable patterns (to the extent they exist) that improve my odds of making a profit buying Nvidia calls when it takes a steep-ish downturn right after hitting a new high.

To do that, I used ChatGPT to help me write the scripts to download various price intervals (minute-to-minute, 5,10,15-minute, 1 hour, and daily) from the ThinkorSwim trading platform. I download them into Excel and use ChatGPT to help me write VBA code to find and analyze predictable behavior.

If you trade options, you know that finding predictability isn't easy.;-)

What I have been most successful at so far is assigning odds to Nvidia downturns and recoveries (which, as said, almost always occur after a new high is reached) over specific periods (days, not minute-to-minute, etc.) that so far have help me make money on OTM calls.

The stock predictably recovers within a week or 10 days MOST of the time. Of course, there are many times when the stock turns down sharply after hitting a new high and then wallows for weeks on end.

As to using ChatGPT, it is incredibly good at writing code if you give it VERY specific and precise instructions. It can also provide good input as to how to develop a system to perform statistic analyses. My learning curve with ChatGPT has been incredibly steep because it is only as good as my questions. I sometimes spend hours thinking about and writing the questions. And then more hours testing those questions with ChatGPT.