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QuantaAlpha/QuantaAlpha

QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories. observed · 2026-08-28

github.com/QuantaAlpha/QuantaAlpha · Python observed · 2026-08-28

Health v2 · maintenance only

56/100

  • Activity 90
  • Release rhythm 35
  • Longevity 15

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 217
  • days_rel: n/a
  • days_push: 65
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1466 stars · 286 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

QuantaAlpha is an LLM-driven framework for mining quantitative alpha factors using a trajectory-based self-evolving paradigm. Users describe a research direction in natural language, and the system automatically generates, evolves, and validates factors through evolutionary strategies with structured hypothesis-code constraints.

Use cases

  • mine quantitative alpha factors with LLMs
  • automate factor discovery for trading strategies
  • evolve and validate quant factors using evolutionary search
  • describe a research idea and get candidate factors generated
  • run walk-forward validation on mined factors
  • apply LLM agents to quantitative research workflows

When to choose

  • you want to automate quantitative factor mining with LLM intelligence
  • you need evolutionary, trajectory-based factor generation and validation
  • you prefer describing research goals in natural language rather than coding factor formulas by hand

When to avoid

  • you need a battle-tested production trading system rather than a research framework
  • you require a permissively licensed dependency and cannot accept unclear licensing
  • you need a no-LLM, purely statistical factor research pipeline

Facets

framework · maturity active

agent-framework llm-inference machine-learning data-science workflow-automation fintech large-language-models machine-learning data-science python cli cross-platform quantitative-finance factor-mining alpha-research evolutionary-algorithms llm-driven self-evolving trading ai-agents

1 source

Member repositories

RepositoryRoleHealth v2
QuantaAlpha/QuantaAlphamain56

For agents

markdown · JSON · MCP: product_card(name="QuantaAlpha/QuantaAlpha")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem