A practical way to use AI price targets without overconfidence (looking for critique)
Before launch, based on the current UI, I want to pressure-test a simple framework for using price targets responsibly: (1) target is a scenario, not a promise, (2) confidence should change sizing or ‘skip’, (3) always sanity-check volatility/regime, (4) decide rules for entry/exit before the open.
What am I missing? If you’ve been burned by ‘AI picks,’ what went wrong?
Context: 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.
Replies
This is very cool @bhushan_s ! First of all congratulation on the successful launch, this seems to be super useful for any actively day ow swing trading. Curious if you have any features that can help folks who mostly trade options on a day to day basic.
thank you Amit! Yes, we're focused on active trader in that those who likely check their broker account nearly everyday, but trade 2-3x a week with a days-to-a-few-weeks horizon.
On Options: we leveraged (literally) our our predictive estimate to give you an ideal option that leverages your returns (Options) on the base asset (stock). Take $MU for example: yesterday, we projected negative outlook for today with associated option ($402.5 strike, expiring Feb 13). Actuals: as of today ~11AM ET $MU (source: YF) was down to $409, which was close to our estimate from yesterday. So, hypothetically and based on risk appetite, if one had set a limit Put call at market open, they could have gained approx. 30% (assuming quick exit).
How do you trade on options?