An AI stock recommendation app that gets sharper with every outcome.
Most stock apps recommend and forget. AdaptingAlpha logs every recommendation with its entry price, measures what actually happened, and feeds that signal back into the model so tomorrow's picks are smarter than today's.
Recommendation systems without accountability are guesses dressed up as advice. AdaptingAlpha closes the loop: every pick saved, every outcome resolved against live market prices, every factor multiplier updated. The picks today are informed by yesterday's results — and you can audit the entire process in the Trust Center.
The Learning Loop
Recommend → Track → Learn → Improve
The flywheel that makes AdaptingAlpha sharper every week.
Recommend
AdaptingAlpha scores hundreds of US stocks and A-shares against your investor profile, then surfaces personalized rankings.
Track
Every recommendation is saved with its entry price. Outcomes are measured against live market prices, not backtests.
Learn
Factor multipliers update after each resolved outcome. Winning signals get promoted; losing ones get penalized.
Improve
Next week's rankings are sharper because the model is informed by what actually worked, not what looked good on paper.
Inside AdaptingAlpha
Everything an AI investing platform should have
AI Advisor
Conversational AI that takes your portfolio, watchlist, and profile into account when recommending picks.
Open
Personalized Picks
Daily rankings of stocks that match your risk, horizon, and goals — adjusted by the learning engine.
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Track Record
Every recommendation is logged with entry price and resolved against live market data.
Open
Portfolio Brain
Live P&L plus AI commentary on concentration, market exposure, and risk balance.
Open
Daily Briefing
What changed for the AI today — market regime, learning updates, and recommendation changes.
Open
Trust Center
Public win rate, average return, and AI vs S&P 500 comparison from real tracked picks.
Open
Why It's Different
Adaptive AI vs. traditional stock tools
Most stock apps apply static filters. AdaptingAlpha applies a model that updates itself.
AdaptingAlpha
- Filters update from results
- Personalized to your profile
- Tracks every recommendation
- Cross-device sync
- Conversational AI advisor
- Multi-market (US + A-shares)
Typical screeners
- Static rules
- One ranking for everyone
- No accountability
- Local-only
- Search only
- One market
FAQ
Frequently asked questions
How does the app learn from outcomes?▾
When the AI recommends a stock, it's saved with the entry price and the factors that led to the pick (e.g., EPS growth, low P/E). When the position resolves (defined by return thresholds), the system credits or debits each factor: winning factors get their multiplier increased, losing factors get penalized. Future rankings combine these updated multipliers with your profile.
What stocks can it recommend?▾
Around 500 US stocks across all major sectors and 400 Chinese A-shares including HS300 components and ZZ500 names. The AI Advisor can recommend from the full universe; Personalized Picks ranks a daily sample.
How accurate is the AI?▾
We publish accuracy honestly in the Trust Center: tracked picks, win rate, average return, and a comparison vs the S&P 500. If we don't have enough resolved picks yet, we say so instead of inventing numbers. No backtests, no hindsight bias.
Does the app work for my country?▾
The web app is available globally. US-listed stocks (NYSE/NASDAQ) and Chinese A-shares are currently supported. Other markets are on the roadmap.
Is this financial advice?▾
No. Recommendations are informational. The app helps you find candidates matching your profile and shows its reasoning. You're responsible for every decision. Past recommendation performance does not guarantee future returns.
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Start training your investment AI
Takes about a minute. Free forever. The AI gets sharper the longer you use it.