Most “AI stock research” tools are dressed-up ChatGPTs, or worse, hallucinating bots. At MarketCrunch AI, we built a deep-learning quantitative AI model that analyzes 300 million+ points daily - including macro, price action, news - to give you 1-click next-day + weekly price targets. Our AI shows its work: each price target has confidence markers, backtest, and clear drivers to help you can decide on trade / size / skip. Our fans say, its Bloomberg terminal for Robinhood users.
Backtests are where most tools get hand-wavy. What evidence do you show so users can judge if this is overfit vs legit?
@islam_toba Totally fair. We’re opinionated about showing receipts without fake certainty. If you’re evaluating rigor, what’s your minimum bar: walk-forward tests, out-of-sample windows, regime splits, or a live/paper tracker that updates daily?