Polyphemus

Trading System Case Study

Built the trading system and documented the architecture, development workflow, and operating constraints in public.

Project Overview

Polyphemus is a Python trading system for Polymarket with signal detection, execution logic, risk controls, and operational tooling. This portfolio entry is published as a documented case study backed by the local codebase and first-party writing, not as a public live demo.

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Challenge

Build a trading system that is explainable and well-instrumented enough to document honestly, without implying public access to a live production bot.

Key Features

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Signal Detection

Consumes market data feeds and turns them into explicit trading signals.

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Execution + Risk Controls

Combines execution logic, position management, and operational safeguards.

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Operational Tooling

Includes dashboards, watchdogs, and supporting production operations code.

Lessons Learned

school Operational rigor matters as much as model logic in trading systems.
school Case-study-first framing is more truthful here than implying a public live product.