chrisworsey55/atlas-gic
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch observed · 2026-10-10
Health v2 · maintenance only
58/100
- Activity 96
- 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 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 223
- days_rel: n/a
- days_push: 28
- n_releases_24m: 0
Adoption not part of the score
2312 stars · 417 forks observed · 2026-10-10
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
ATLAS is a Python framework of self-improving AI trading agents that optimize their own prompts against market outcomes, using multi-agent debate across macro, sector, and market layers. It is tied to a commercial SaaS platform (ATLAS Agents) offering live signals, copy trading via Alpaca and Kalshi, backtesting, and an agent marketplace.
Use cases
- run self-improving AI trading agents that rewrite their own prompts
- backtest trading strategies described in plain English
- copy-trade AI agent signals into equities and prediction markets
- simulate reflexive market futures before deploying a strategy
- benchmark agent performance using Sharpe ratio as the objective
- publish and monetize custom trading agents on a marketplace
When to choose
- you want an open framework for autonomous LLM trading agents with prompt evolution
- you need multi-agent market debate with performance-scored feedback loops
- you want to experiment with autoresearch-style optimization applied to finance
When to avoid
- you need a battle-tested, audited trading system for serious capital
- you want a neutral open-source tool without commercial upsell pressure
- you require guaranteed returns or verified track records from marketing claims
Facets
framework · maturity active
agent-framework machine-learning trading benchmarking workflow-automation fintech artificial-intelligence large-language-models python cli cross-platform ai-trading-agents autoresearch prompt-optimization self-improving-agents backtesting copy-trading prediction-markets reflexivity-simulation multi-agent-debate saas ai-agents trading
1 source
- readme: https://github.com/chrisworsey55/atlas-gic · fetched 2026-10-10 · 61660fefc066
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| chrisworsey55/atlas-gic | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="chrisworsey55/atlas-gic")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem