Validate, resample, and ingest market data for factor mining. Schema-checks OHLCV files (CSV/Parquet/HDF5), resamples bar frequencies, and pulls live data from external MCP connectors (FactSet, Daloopa, Morningstar). Use before any mining run. Triggers on "validate data", "check my dataset", "resample", "load market…
Evaluate a factor library — recompute Information Coefficient (IC), ICIR, win rate, and turnover on held-out data, and surface train→test decay. Use to judge how good a mined library actually is out of sample. Triggers on "evaluate factors", "compute IC", "how good is this library", "factor metrics", "ICIR", "is this…
Discover alpha factors by running the FactorMiner research engine — the paper-faithful Ralph loop or the enhanced Helix loop (causal validation, regime conditioning, multi-specialist debate, canonicalization). Use to generate a new factor library from a validated dataset. Triggers on "mine factors", "discover…
Generate static reports, tearsheets, and exports from FactorMiner artifacts — markdown/HTML research notes, plots, and library exports (JSON/CSV/formulas). Use to package a finished research run for review. Triggers on "generate report", "factor report", "research note", "tearsheet", "visualize factors", "export…
Absorb external research reports/papers into structured, retrievable hypothesis cues via FactorMiner's Report-to-Memory Absorption (RMA) service — an OHLCV-eligibility gate, a mechanism-family classifier, and research-path cues that feed factor generation prompts. Use to turn a report fragment into a research…
Automate research paper processing with NotebookLM - fetch papers from Hugging Face Daily Papers, arXiv, or Papers With Code, create NotebookLM notebooks, and generate AI-powered slide decks, audio overviews, and summaries.
Research and analyze academic papers using NotebookLM. Use when user wants to understand, summarize, or create presentations from research papers. Triggered by requests involving arXiv papers, research paper analysis, or NotebookLM operations.