AI Stock Picker With a Track Record

An AI stock picker that keeps the receipts.

Most AI stock tools recommend confidently and quietly forget. AdaptingAlpha saves every pick with its entry price, then shows you the real outcome — wins, losses, and accuracy you can verify.

The hardest question to ask any stock-picking tool is simple: did it actually work? AdaptingAlpha is built to answer it. Every recommendation is timestamped and stored with the price at the moment it was made, and a public Track Record measures the real return of each pick over time. There's no cherry-picking the winners — the losses are right there too. If a tool can't show you its history, it's asking you to trust a guess.

The Learning Loop

Recommend → Track → Learn → Improve

The flywheel that makes AdaptingAlpha sharper every week.

01

Recommend

AdaptingAlpha scores hundreds of US stocks and A-shares against your investor profile, then surfaces personalized rankings.

02

Track

Every recommendation is saved with its entry price. Outcomes are measured against live market prices, not backtests.

03

Learn

Factor multipliers update after each resolved outcome. Winning signals get promoted; losing ones get penalized.

04

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

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 do you track whether a pick actually worked?

When the AI surfaces a pick, we save the symbol, the date, and the exact entry price. From then on we compare the live price to that entry price to compute the real return. The Track Record page shows every resolved pick, its return, and the running accuracy — including the ones that lost.

Can I see the losses too, or just the wins?

Both. Hiding losers would make the accuracy meaningless. The Track Record and Trust Center show wins and losses together, plus the overall hit rate, so the number actually means something.

What accuracy should I expect?

We don't promise a number — that would be dishonest, and markets don't work that way. What we promise is that whatever the real hit rate is, you'll see it. The learning engine then works to improve it over time by favoring the factors that actually predicted winners.

How is the track record different from a backtest?

A backtest is run against historical data and is easy to over-fit. This is a forward record: picks are logged the day they're made and graded by what happens next, in real market conditions. It's slower to build, but it's honest.

Is this financial advice?

No. The picks and track record are informational. Past results never guarantee future returns, and you're responsible for your own investment decisions.

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AdaptingAlpha is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Recommendations are generated by a machine learning model and may be incorrect. Always do your own research before investing.