Chart Library vs Danelfin — an AI score versus calibrated base rates.
Danelfin distills a stock into a single AI Score (1–10) — its model’s probability that the name beats the market over the next few months. It is a prediction, packaged as a rating.
Chart Library deliberately refuses to do that. It returns no score and no buy/sell call. For any (symbol, date, timeframe) it retrieves the real historical analogs of that exact setup and reports what they actually did next — a calibrated forward-return distribution with an audited coverage receipt, over API/MCP for an agent to reason on. The difference is philosophical: a rating tells you what to think; base rates tell you what happened, and how often the band held.
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Prediction vs calibration
- Danelfin = a directional score. One number per stock; you trust it or you don’t. The hard part — how often a given score is actually right — is opaque.
- Chart Library = a calibrated distribution. The cohort’s p10/median/p90 and up-rate per horizon, plus the dated rolling coverage record and sequential trust audit. You can see when the audit says to investigate rather than taking a score on faith.
- Single-name prediction hits a noise floor. The forward-return signal for one stock is close to irreducibly noisy — which is why we don’t sell a point forecast; the durable edge is honest, calibrated base rates, not a sharper guess.
- Built for agents. Danelfin is a website you read; Chart Library is an endpoint your agent calls (MCP, REST, SDKs) and cites in its reasoning.
Frequently asked questions
- Does Chart Library give a stock score or rating like Danelfin?
- No, by design. It returns the calibrated forward-return distribution of a setup's historical analogs plus a coverage receipt — not a 1-10 score or a buy/sell call. It surfaces base rates; the decision stays with you or your agent.
- Is it a Danelfin alternative?
- Only if you're looking for honest historical base rates instead of a predictive rating. They're different philosophies: Danelfin predicts (AI Score); Chart Library calibrates (what analogs did, with audited coverage). Some users consult a rating and the base rates together.
- Why not just trust an AI score?
- Because a score with no published, audited calibration is confidence you can't verify. Chart Library's value is the dated rolling receipt and sequential trust verdict—not a number to take on faith.
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