# The-Swarm-Corporation/AutoHedge

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

Repository: https://github.com/The-Swarm-Corporation/AutoHedge
Canonical: https://ross.abutalabs.com/products/autohedge
Homepage: https://swarms.xyz/
Language: Python
License: MIT
License Family: permissive
Topics: ai, blackrock, finance, goldmansachs, hedgefund, jpmorgan, ml, quant, quantitative-finance, quantitative-trading, trading
Last push: 2026-05-11T05:44:09+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 81, release rhythm 35, longevity 45
- inputs: {"age_days": 631, "days_push": 114, "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 4290, forks 725 (observed 2026-08-28T04:08:41.385869+00:00)

## What it is
AutoHedge is a Python framework for building autonomous AI-agent hedge funds that automate market analysis, risk management, and trade execution using multi-agent swarm intelligence. It ships specialized agents (director, quant, risk, execution) and currently supports fully autonomous trading on Solana, with Coinbase and other exchanges on the roadmap.

## Use cases
- build an autonomous AI trading agent for Solana
- automate market analysis with multi-agent workflows
- generate and validate trading theses with LLM agents
- automate position sizing and risk assessment before trade execution
- run a quant agent for technical and statistical analysis
- get structured JSON trade recommendations for downstream systems

## When to choose
- you want an extensible multi-agent framework for autonomous crypto trading on Solana
- you need a risk-first pipeline that sizes positions before executing orders
- you want structured JSON outputs and enterprise-style logging for trading agents
- you are prototyping AI-driven quant strategies in Python

## When to avoid
- you need production trading on Coinbase or other CEXs today (only Solana is supported)
- you require guaranteed returns or audited, regulated fund management - this is experimental agent software
- you cannot expose wallet private keys or LLM API keys to the system
- you need traditional equities or forex trading support

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, machine-learning, trading, analytics
- domain: artificial-intelligence, fintech
- platform: python, cross-platform, cli
- tags: hedge-fund, quantitative-trading, multi-agent, swarm-intelligence, solana, risk-management, trade-execution, market-analysis, ai-agents, cryptocurrency, quantitative-finance

## Member repositories
- The-Swarm-Corporation/AutoHedge (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:41.385869+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 2026-08-29T18:21:54.163422+00:00, confidence not recorded.
  - readme: https://github.com/The-Swarm-Corporation/AutoHedge (fetched 2026-08-28T04:08:41.385869+00:00, sha f4c97c6b1bf3)
  - homepage: https://swarms.xyz/ (fetched 2026-08-29T09:11:12.794004+00:00, sha 07a770e49773)
  - registry_pypi: https://pypi.org/pypi/autohedge/json (fetched 2026-08-29T09:11:12.801355+00:00, sha 53f5f4c72c2a)
  - site_page: https://www.swarms.xyz/pricing (fetched 2026-08-29T09:11:12.797143+00:00, sha 84fbe818c21e)
  - site_page: https://www.swarms.xyz/blog/swarms-weekly-ecosystem-update-august-17-24 (fetched 2026-08-29T09:11:12.799298+00:00, sha 71786cc4837f)
- Data as of 2026-08-30T08:39:29.467469+00:00.