10-year receipts: how to audit an AI research engine before you trust it
Any AI can show a highlight reel. The question that matters is boring: what would this engine's signals have done over ten years, including the drawdowns? Balance Labs treats that as the receipt — visible, not promised.
What the receipt shows
- Per-signal entry/exit on daily bars from redundant public data sources.
- Aggregate return and max drawdown — the number highlight reels skip.
- Win rate and trade counts on the same window you can re-run.
The screener book (753 tickers across US, HK, China A-share, Korea, India) carries these stats per name on its scanner pages.
How to audit any AI research tool (including ours)
- Ask for the backtest window and data source.
- Ask for max drawdown, not just return.
- Ask what happens on data the model has never seen.
- If answers are "proprietary" — that is the finding.
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FAQ
How successful is AI at picking stocks?
The practical answer is to run the same task twice — once with the tool in question, once free on Balance Labs (30 AI credits, no card) — and compare the decision-readiness of the outputs. This page documents exactly what our side includes.
Is there an AI that can analyze stocks?
The practical answer is to run the same task twice — once with the tool in question, once free on Balance Labs (30 AI credits, no card) — and compare the decision-readiness of the outputs. This page documents exactly what our side includes.
What are the top 3 AI stocks to buy?
The practical answer is to run the same task twice — once with the tool in question, once free on Balance Labs (30 AI credits, no card) — and compare the decision-readiness of the outputs. This page documents exactly what our side includes.
← All guides · Home · Comparison data from public landing pages, Aug 2026 · Not investment advice.