Add comprehensive sprint plan for SEC Financial Analyzer

[mrabiola]

Summary

This PR introduces a detailed sprint plan document that outlines the complete roadmap for building a cloud-native SEC filing analyzer with a Bloomberg-style terminal UI. The plan covers architecture, tech stack decisions, database schema, and a 5-sprint implementation strategy.

Key Changes

• Vision & Architecture: Defined the overall product vision and created a detailed system architecture diagram showing the flow from terminal UI → FastAPI backend → SEC EDGAR service → database
• Tech Stack: Documented technology choices (Python/FastAPI, SQLite/PostgreSQL, vanilla JS frontend, Docker) with rationale for each
• Database Schema: Designed three core tables (companies, filings, financial_metrics) to support caching, filing storage, and parsed financial data
• 5-Sprint Roadmap:
  • Sprint 1: Foundation (project scaffold, DB schema, SEC EDGAR client, basic API)
  • Sprint 2: Filing download & storage with background processing
  • Sprint 3: Financial data parsing (revenue, net income, assets, etc.)
  • Sprint 4: Bloomberg-style terminal UI with dark theme and keyboard navigation
  • Sprint 5: Cloud deployment, CI/CD, monitoring, and documentation
• API Endpoints: Defined all REST endpoints across sprints (ticker lookup, filing list, financials, etc.)
• Quick Start Guide: Included post-implementation usage instructions
• Success Criteria: Listed 6 measurable success criteria for the project

Notable Implementation Details

• SEC EDGAR rate limiting: 10 requests/second max with proper User-Agent headers
• Parsing strategy includes both XBRL (structured) and HTML fallback approaches
• Terminal UI uses Bloomberg-inspired color palette (orange #ff6600 primary, green for positive metrics)
• Docker multi-stage build for production with health checks
• Comprehensive file inventory mapping deliverables to sprints
• Out-of-scope section clarifies future enhancements (real-time prices, 8-K filings, auth, etc.)

This plan serves as the north star for development and can be tracked as sprints are completed.

https://claude.ai/code/session_01E5vqA5jVfyphgp5BWoyNNy