/research — AI Research Brain

A multi-agent brain for data, factors, and reports.

Local and external models collaborate on a routed pipeline — automating collection, cleaning, restoration, and factor mining across mountains of research.

Agent topology

Routed collaboration between local and external models

Orchestrator

Routes tasks across local & external models

Data Agent

Cleans and restores missing quotes & report archives

Research Agent

Parses analyst reports and market narratives

Factor Agent

Mines and validates candidate factors

Strategy Agent

Composes and codes strategy drafts

Risk Agent

Attributes drawdowns and enforces limits

Data governance

Missing bars, delisted histories, and fragmented report libraries are restored for time-series continuity.

Dataset restoration coverage

Percent complete before vs. after agent restoration

Automated workflow

01 / 4

Collect

Ingest reports, filings, market data and internal project libraries.

02 / 4

Restore

Restore missing quotes and reports for time-series continuity.

03 / 4

Mine

Surface and validate factor candidates across regimes.

04 / 4

Author

Draft and code strategies handed to the execution core.

Built with v0