About This Publication
Welcome to my engineering log documenting the development of QuantCoderFS — a unified quantitative research platform for retail traders.
What is QuantCoderFS
QuantCoderFS integrates two core modules:
Market Intelligence Module
Purpose: Multi-agent equity research inspired by MarketSense AI (Fatouros et al., 2024).
Input: Stock tickers (e.g., AAPL.US, TSLA.US)
Output: BUY/HOLD/SELL trading signals with conviction scores (1–10)
Technology: Custom multi-agent system featuring four specialized agents and one orchestrator
Strategy Generator Module
Purpose: Automated trading algorithm creation derived from academic research papers
Input: PDF research papers
Output: Production-ready QuantConnect algorithm code (Python)About This Publication
Welcome to my engineering log documenting the development of QuantCoderFS — a unified quantitative research platform.
Each post shares what truly happens under the hood: successful builds, failed experiments, and everything in between.
Launch planned: February 2026
Documentation: QuantCoderFS Documentation
Who Should Subscribe
This publication is for traders, quants, data engineers, and risk managers who build and run systematic code — or anyone managing real-world positions using algorithmic signals.
As the project evolves, outputs such as equity analyses and strategy research may also be published.
