Hi! I am looking to dive deeper into value investing, and one way that I've started to do that is using ai to write code to help me identify potential value stocks. The main reason for this as the starting point is it'll help bring the pool of potential stocks down from thousands to 50-100 options. So this is really just a starting place to find potential stocks.
Currently I have a list of valuation models (DCF, forward FCF, EV/EBITDA, etc.) it runs tickers through. For each sector (or types of stocks), it measures different ones and with different multiples. It then provides price targets (bear, base, bull) and provides an arbitrary score, based on a few other things I have written into the code. From there, I start my own DD further into why the ticker might be displaced in price/why the model views it as a high-potential buy.
What suggestions do you have on a project like this? What should I be focusing on? I'd love any feedback, or if anyone is interested in learning more about it, I'd love some help developing it further!