Updated today
by minihellboy
factorminer
A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery
123 GitHub stars (123)
+3 in 16 days
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- 7 skills (7 skills found in its SKILL.md files)
- 37 forks (37 forks)
- Today last update (Last updated today)
Install
Skills CLI
npx skills add minihellboy/factorminer
Asks which skills and agents to install. Just one: npx skills add minihellboy/factorminer --skill factor-backtest — add -g for every project.
Claude Code
git clone https://github.com/minihellboy/factorminercp -r "factorminer/integrations/factor-researcher/plugin/skills/factor-backtest" ~/.claude/skills/
Copies the factor-backtest skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add minihellboy/factorminer
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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factor-backtest
Combine a factor library into a composite signal and quintile-backtest it under transaction costs — long-short return, monotonicity, turnover, and tearsheets. Use for the portfolio-level view that single-factor IC does not give. Triggers on "backtest", "composite signal", "combine factors", "long-short return", "portfolio", "quintile", "tearsheet", "transaction costs".
integrations/factor-researcher/plugin/skills/factor-backtest/SKILL.md on GitHub (opens in a new tab) -
factor-benchmark
Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite. Use to compare FactorMiner against baselines or to reproduce paper results. Triggers on "benchmark", "ablation", "compare to baseline", "reproduce table 1", "cost pressure", "benchmark suite".
integrations/factor-researcher/plugin/skills/factor-benchmark/SKILL.md on GitHub (opens in a new tab) -
factor-data
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 data", "fetch data", "ingest prices", "is this dataset usable".
integrations/factor-researcher/plugin/skills/factor-data/SKILL.md on GitHub (opens in a new tab) -
factor-evaluation
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 factor overfit", "out-of-sample".
integrations/factor-researcher/plugin/skills/factor-evaluation/SKILL.md on GitHub (opens in a new tab) -
factor-mining
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 factors", "run mining", "find alpha", "helix loop", "ralph loop", "build a factor librar…
integrations/factor-researcher/plugin/skills/factor-mining/SKILL.md on GitHub (opens in a new tab) -
factor-report
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 library", "write up the results".
integrations/factor-researcher/plugin/skills/factor-report/SKILL.md on GitHub (opens in a new tab) -
research-ingestion
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 hypothesis before mining, not to mine factors directly. Triggers on "ingest research", "…
integrations/factor-researcher/plugin/skills/research-ingestion/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.
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