Behind the Scenes of FÉLAG: Architecture, Automation, and Collaboration

Introduction: purpose and architecture

FÉLAG is both a personal knowledge base for building trading systems and an open platform for documenting the engineering process. The resource captures real-world experience: from CI/CD setup to responsive layout and analytics integration.

Constructive feedback on code, layout, or content is welcome. Contact details are on the “About” page.

Behind the scenes: engineering improvements

The project architecture went through several optimization iterations. Key changes:

• Continuous integration: npm run verify script blocks commits with JSON-LD errors, NUL bytes, or broken links.
• UX: View Transitions API for smooth language switching, scroll position preservation, CSS theme toggle animation.
• Responsive layout: Articles catalog on CSS Grid with sticky sidebar on desktop and drawer menu on mobile.
• Localization: RU/EN audit, meta tag alignment, translation key parity.

Detailed content distribution architecture is covered in a separate article: “Information Harbor Architecture”.

Development direction

Upcoming posts will shift from general architecture topics to specifics: trading bot configuration, analysis of real trading systems, and post-mortems of mistakes made.

All external resources and tools are listed in the footer of each article.

Summary

The project infrastructure is built on transparency and continuous improvement. It is open to suggestions and professional connections.

FAQ

Why publish technical development details in a blog? Transparency builds trust. Real engineering solutions are valued higher than abstract discussions.

How to propose a collaboration or report an issue? Contact details are on the “About” page. Constructive criticism is treated as a resource for improvement.

Do you publish ready-made trading strategies for copying? Trading signals and individual investment advice are not published. However, materials regularly break down the mechanics, architecture, and logic of trading systems: how rules are formalized, hypotheses tested, and risk management structured on specific platforms.