An AI stock picker that learns from every outcome.
AdaptingAlpha scores hundreds of US stocks and A-shares against your investor profile, then refines its rankings every time a recommendation resolves.
AdaptingAlpha is an AI stock picker built around a single idea: a stock picker that doesn't measure itself isn't a picker — it's a guess. Every recommendation gets saved with its entry price, every outcome feeds the learning engine, and every future ranking is informed by what actually worked. You get personalized picks today, and a sharper model tomorrow.
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.
Open
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 AI pick stocks?▾
The AI scores each stock in its universe across 15+ factors — earnings growth, revenue growth, momentum, P/E, P/B, dividend yield, beta, volume, ROE, and more. Each factor has a multiplier that's updated by the learning engine based on which factors actually predicted winning recommendations in the past. Final rank combines your investor profile with the current factor weights.
How is this different from a regular stock screener?▾
Traditional screeners apply static filters: P/E below X, dividend above Y. AdaptingAlpha applies adaptive weights that update from outcomes. If 'low P/E' is currently producing winners, the weight increases. If high beta is currently producing losers, the weight drops. The picker evolves; static screeners don't.
Do I need an account to see picks?▾
You can preview the personalized rankings without signing in. To save your profile, sync across devices, and let the learning engine attribute outcomes to your picks, you sign in with Google or GitHub.
What markets are supported?▾
US stocks (large-cap and mid-cap) plus Chinese A-shares listed in Shanghai and Shenzhen. The universe currently covers around 900+ tickers; you can ask the AI Advisor for picks in either market.
Is this financial advice?▾
No. Recommendations are informational. The picker is a tool to help you find candidates that match your stated profile. You are responsible for your investment decisions. Past picks do 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.