# virattt/ai-hedge-fund

An AI Hedge Fund Team

Repository: https://github.com/virattt/ai-hedge-fund
Canonical: https://ross.abutalabs.com/products/ai-hedge-fund
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-07T17:21:58+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 96, longevity 45
- inputs: {"age_days": 642, "days_push": 26, "days_rel": 26, "gap_med": 6.5, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 63060, forks 11080 (observed 2026-08-28T04:12:19.150687+00:00)

## What it is
An educational AI-powered hedge fund simulator where LLM-driven agents modeled after famous investors analyze stocks and make simulated trading decisions. It supports interactive terminal use, mandate-based fund configurations, and backtesting with equity curves, but never executes real trades.

## Use cases
- simulate an AI hedge fund making trading decisions
- backtest LLM-based investment strategies against benchmarks
- learn how multi-agent AI systems reason about stocks
- run paper-trading experiments with investor-style alpha models
- explore AI-driven stock analysis for education

## When to choose
- you want to learn how LLM agents can be applied to financial analysis
- you need an educational backtesting playground for AI trading strategies
- you want a terminal app that simulates fund management without real money

## When to avoid
- you need real trading or live brokerage execution
- you require guaranteed investment returns or financial advice
- you need production-grade, low-latency trading infrastructure

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, machine-learning, cli, data-science
- domain: artificial-intelligence, fintech, large-language-models, education
- platform: python, cli, cross-platform
- tags: hedge-fund, trading-simulation, backtesting, alpha-models, educational, multi-agent, terminal-app, ai-agents

## Member repositories
- virattt/ai-hedge-fund (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:19.150687+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 2026-08-29T16:17:27.102065+00:00, confidence not recorded.
  - readme: https://github.com/virattt/ai-hedge-fund (fetched 2026-08-28T04:12:19.150687+00:00, sha 493c8c42615b)
- Data as of 2026-08-30T08:39:29.467469+00:00.