# EliteQuant/EliteQuant

A list of online resources for quantitative modeling, trading, portfolio management

Repository: https://github.com/EliteQuant/EliteQuant
Canonical: https://ross.abutalabs.com/products/elitequant
License: Apache-2.0
License Family: permissive
Topics: quantitative-trading, quantitative-finance, trading-platform, trading-systems, portfolio-management, asset-management, asset-pricing, mathematical-finance, machine-learning, algorithmic-trading
Last push: 2024-06-15T16:17:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3207, "days_push": 809, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4151, forks 707 (observed 2026-08-28T04:08:36.479432+00:00)

## What it is
A curated list of online resources for quantitative modeling, trading, and portfolio management. It catalogs trading platforms, trading systems, quantitative libraries, trading APIs, data sources, and fintech resources.

## Use cases
- find open source quantitative trading libraries
- discover algorithmic trading platforms
- learn quantitative finance resources
- compare trading systems and backtesting tools
- find market data sources for quant research
- explore fintech and crypto trading tools

## When to choose
- you want a curated directory of quant finance tools and resources
- you are researching trading platforms or libraries to adopt
- you want community-vetted links with a popularity threshold

## When to avoid
- you need working trading software rather than a list of links
- you need exhaustive or frequently re-verified coverage
- you need a runnable library or API

## Facets
- artifact type: learning-resource
- maturity: active
- function: trading, developer-tools
- domain: fintech, machine-learning, awesome-lists
- platform: cross-platform
- tags: quantitative-finance, curated-list, algorithmic-trading, portfolio-management, trading-resources

## Member repositories
- EliteQuant/EliteQuant (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:36.479432+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:53.879971+00:00, confidence not recorded.
  - readme: https://github.com/EliteQuant/EliteQuant (fetched 2026-08-28T04:08:36.479432+00:00, sha a6f32ca19ad2)
- Data as of 2026-08-30T08:39:29.467469+00:00.