ChamaClaw
A Solana contribution and treasury-reconciliation agent for savings groups.
Research / AI & Machine Learning
Market-analysis experiments across Python, Telegram and an AI agent.
01 / Context
A consolidated research family containing Python strategy and market-data code, Telegram interfaces and a Mastra-based Nosana challenge submission using Groq for language-model inference.
Market-analysis experiments across Python, Telegram and an AI agent.
02 / Contribution
Developed the application components and integration work described in the project’s source and documentation.
03 / Engineering
The case study concerns software integration and research tooling. It does not claim profitable trading performance or autonomous production execution.