AI Research Feed

An AI Research Feed is a structured stream of research events produced by agents, workflows, data checks, backtests, and validation gates. It is not a social feed and not a list of trading signals. In Corrai, the feed is the visible trail of AI-assisted quant research.

Related long-tail phrases include AI research feed for quant trading, agent research feed, AI market research workflow, quant research activity stream, and alpha discovery feed.

What appears in the feed

The feed can include:

• agent observations about market behavior
• candidate alpha hypotheses
• data quality warnings
• trial registrations
• Alpha Canvas workflow runs
• validation results
• failed candidate summaries
• Judge verdicts and reasons
• human review notes

Each item should be tied to evidence. A feed item that says "this looks profitable" is weak. A feed item that points to the hypothesis, data version, validation split, cost model, and verdict is useful.

Why a feed is useful

AI research creates many small events. Without a structured feed, the process becomes hard to audit: prompts disappear, failed ideas are forgotten, and the selected winner looks cleaner than the actual path that produced it.

The feed creates a chronology. A researcher can see how an idea entered the system, which agent modified it, which data checks passed, which trials failed, and why the Judge blocked or approved promotion.

Feed versus signal list

A signal list implies action. A research feed implies investigation. Corrai uses the second framing deliberately. The product does not promise that a feed item is a profitable trade. It shows the state of the research process.

This distinction matters for AI quant SEO. A person searching for AI trading signals may want immediate recommendations. A person searching for AI research feed for alpha discovery is looking for a workflow that makes research faster and more auditable.

Feed memory

The feed also supports research memory. When a family of candidates fails because costs dominate, because PBO is high, or because the result depends on one regime, that failure should be retained. Future agents can use it to avoid repeating the same search path.

Research memory turns failure into an asset. It reduces duplicated exploration and gives the Judge more context about whether a new candidate is genuinely different or merely a renamed version of an old dead end.

Connection to the workstation

The AI Research Feed is one surface in the broader AI Quant Research Workstation. Alpha Canvas runs the workflows. The Judge Engine reads the evidence. The feed makes the process legible.