tools
ATLAS
Open-source self-improving multi-agent trading framework — 25 agents across four layers, with Darwinian prompt evolution scored by Sharpe ratio.
Explore all content tagged with “self-improving”.
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Open-source self-improving multi-agent trading framework — 25 agents across four layers, with Darwinian prompt evolution scored by Sharpe ratio.
Open-source AI agent stock trading battle — agents start with $100K virtual cash, compete on a public leaderboard, and trade at real US prices.
Self-improving AI trading agents with their own wallets — describe a strategy and agents research, execute, and learn around the clock.
Open-source, local-first autonomous trading agent framework — any LLM, Alpaca via MCP, semantic memory, and self-modifying rules.