Numerai: Architect an AI scientist to predict the stock market
iderafeature0...featureXtargetn2b2e3dd163cb422era10.75...0.000.25n177021a571c94c8era11.00...0.250.75n7830fa4c0cd8466era10.25...1.000.00nc584a184cee941bera10.25...0.001.00nc5ab8667901946aera10.75...0.250.25n84e624e4714a7caera10.00...0.751.00 Each id corresponds to a stock at a specific time era. The features describe the various quantitative attributes of the stock at the time. The target represents an abstract measure of performance a fixed number of weeks into the future.
- ▪iderafeature0...featureXtargetn2b2e3dd163cb422era10.75...0.000.25n177021a571c94c8era11.00...0.250.75n7830fa4c0cd8466era10.25...1.000.00nc584a184cee941bera10.25...0.001.00nc5ab8667901946aera10.75...0.250.25n84e624e4714a7caera10.00...0.751.00
- ▪The features describe the various quantitative attributes of the stock at the time.
- ▪The target represents an abstract measure of performance a fixed number of weeks into the future.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Numerai |
| Canonical URL | https://numer.ai/ |
| Publication time | Wed, 30 Sep 2026 20:36:39 +0000 |
| Retrieval time | 2026-09-30T20:42:01.972Z |
| Last seen | 2026-09-30T20:42:01.972Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | aidqssKoaEZg · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
iderafeature0...featureXtargetn2b2e3dd163cb422era10.75...0.000.25n177021a571c94c8era11.00...0.250.75n7830fa4c0cd8466era10.25...1.000.00nc584a184cee941bera10.25...0.001.00nc5ab8667901946aera10.75...0.250.25n84e624e4714a7caera10.00...0.751.00 Each id corresponds to a stock at a specific time era. The features describe the various quantitative attributes of the stock at the time. The target represents an abstract measure of performance a fixed number of weeks into the future.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Numerai.
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