AI · 56m ago
LLM Crypto Bot Uses Chart Vision, Vector Memory, and Multi-Agent Code Maintenance
A developer built an LLM-powered crypto trading bot that evolved from a simple RSI script into a multi-agent system with chart vision, vector memory, and bull/bear debate. The bot uses ChromaDB for trade memory, computes expected value from real history, and includes a falsification check before every signal. Seven AI agents maintain the codebase, producing real commits and tests.
Meridian48 take
The bot's architecture is impressive, but crypto trading bots are notoriously unreliable; the real value may be in the multi-agent code maintenance approach.
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# Stop Trading Like It's 1999 — An LLM Crypto Bot That Sees Charts, Remembers Trades, and Learns From Mistakes →
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llm-trading-botmulti-agent-system