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Research / AI & Machine Learning

Quantum SmartFlow

Market-analysis experiments across Python, Telegram and an AI agent.

Contribution
Research implementation
Status
Research & challenge submission
Project type
Research

01 / Context

Overview & purpose

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

My work

Developed the application components and integration work described in the project’s source and documentation.

03 / Engineering

Technical perspective

The case study concerns software integration and research tooling. It does not claim profitable trading performance or autonomous production execution.

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