AdaptingAlpha gives you 1–3 high-conviction stock picks a day, explains why, tracks whether each one worked, and adjusts its own factor weights from the outcomes. US stocks + Chinese A-shares, an AI advisor chat, a portfolio tracker, and a public Track Record so you can see the real hit rate.
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Maker
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I built AdaptingAlpha because most "AI investing" tools never admit when they're wrong. This one saves every recommendation with its entry price, checks the outcome, and re-weights the factors behind winning vs losing picks, so the model adapts instead of repeating the same mistakes.
Two design choices I'd love feedback on:
1) One high-conviction pick per day instead of a noisy list.
2) A public Track Record + Trust Center instead of hidden performance.