Been chatting with the llms to get lucky who came up with this system. Not paying for anything other than the entry level llm subscription. The connectors are free tier, hence limited.

**The System:**

Every stock has to clear 4 hard cutoffs first: decent growth, controlled risk/leverage, big enough to trade easily, and clean accounting (that last one isn't fully live yet). Fail any one and it's out, no exceptions.

Whatever survives gets scored on 7 things: valuation, momentum/positioning, analyst backing, management quality, upcoming catalysts, growth durability, and sector timing. Each is worth +1, 0, or -1, valuation counts double. Add it up and that's the rank.

Fair value itself is just a formula, not a guess: take the analyst price target, discount it 15% for optimism bias, discount it further if the stock's already fallen a lot. No cherry-picking, same math for every name.

**How it actually runs:**

Everything lives inside a Project so nothing resets between sessions, snapshots and methodology notes get saved there as I go. For a full rerun across 40+ names the llm spins up 4 to 6 parallel AI subagents to pull live prices, sentiment and macro data instead of doing it one ticker at a time. It's plugged into a dozen-ish data source tools, though only two of them actually earned a permanent spot in the system. Final tables land in Google Sheets.

Tell me why this is wrong. I built it to stop myself from making bad moves but I have a feeling I may end up making them anyway..

The LLMs told me to buy a 100 year old boomer company over NVDA