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# One-Month Milestone Plan — MarketPilot Core System ## Overall Objective Deliver a **fully functional, validated, and tested MarketPilot data and intelligence system** that: * Collects and processes financial and market data from multiple sources. * Cleans, aligns, deduplicates, and validates input streams. * Produces **optimized analytical outputs** ready for agentic operations. * Includes **centralized logs**, **unit and end-to-end testing coverage**, and full documentation. * Establishes a solid foundation for future agent-based analytics and production deployment. --- ## Total Duration: 4 Weeks (~30 days) | Phase | Duration | Core Goal | | -------------------------------------------------- | --------- | -------------------------------------------------------------- | | **Phase 1 — System Setup & Adapter Development** | Week 1 | Build base infrastructure and data connectors | | **Phase 2 — Integration, Logging & Unit Testing** | Weeks 2–3 | Implement pipeline integration, logging, and component testing | | **Phase 3 — End-to-End Validation & Finalization** | Week 4 | Perform complete validation, documentation, and optimization | --- ## Detailed Breakdown ### Week 1 — Foundation & Data Adapter Layer **Objective:** Establish the ingestion and configuration layer for MarketPilot, ensuring seamless connectivity to all required APIs and data feeds. **Tasks:** 1. Initialize repository and virtual environment. 2. Finalize project configuration (`config.yaml`). 3. Develop initial adapters for: * Market prices (YFinance / AlphaVantage) * News sentiment (Finnhub / Google / AlphaVantage) * Fundamentals (FMP / internal datasets) 4. Validate adapter ingestion for 1–2 test assets. 5. Confirm schema consistency across data types (`symbol`, `timestamp`, key metrics). **Deliverables:** * Adapter modules operational. * Unified data schema. * Initial debug logs confirming ingestion. * Sample raw datasets for verification. --- ### Weeks 2–3 — Pipeline Integration, Logging, and Unit Testing **Objective:** Integrate all processing stages into a unified data flow, ensuring consistent logging and test coverage for reliability. **Tasks:** 1. Connect all pipeline components in sequence: * HealthCheck → DataCollection → Cleaning → Alignment → Deduplication → Validation → Export. 2. Implement inter-stage communication with standardized result tracking. 3. Develop centralized logging using structured JSONL format: * `/logs/pipeline/`, `/logs/stages/`, `/logs/errors/` 4. Write unit tests for all modules and adapters. 5. Set up continuous integration (CI) for automated testing. 6. Validate stability for multiple symbols and data types. **Deliverables:** * Fully integrated data pipeline. * Centralized and structured logs. * 80%+ unit test coverage. * Passing CI pipeline. * Verified intermediate data outputs. --- ### Week 4 — End-to-End Testing, Refinement & Finalization **Objective:** Execute full-scale validation and finalize all documentation, configurations, and quality metrics. **Tasks:** 1. Conduct end-to-end runs for selected symbols (e.g., AAPL, TSLA, NVDA). 2. Verify data integrity: deduplication, alignment, and completeness. 3. Run end-to-end tests simulating production conditions. 4. Audit logs for completeness and error-free execution. 5. Perform final code review and optimization. 6. Complete all documentation, including EPIC.md and configuration files. 7. Prepare the final developer handover package with logs, QA reports, and sample outputs. **Deliverables:** * Stable and reproducible full pipeline run. * Complete and verified datasets under `/marketpilot_exports/`. * Centralized logs validated. * Documentation finalized for internal and external use. --- ## Success Metrics | Category | Target | | ------------------------ | -------------------------------- | | Data Quality Score | ≥ 95% | | Schema Consistency | 100% verified per symbol | | Unit Test Coverage | ≥ 80% | | End-to-End Test Success | 100% on critical paths | | Logging Completeness | ≥ 99% stage coverage | | Documentation Completion | EPIC.md and config fully updated | --- ## Team Responsibilities | Role | Responsibilities | | ------------------ | -------------------------------------------------------- | | Data Engineer | Build and test adapters; ensure stable data ingestion. | | System Architect | Integrate modules and maintain flow consistency. | | QA Engineer | Implement and manage testing; ensure quality thresholds. | | Documentation Lead | Maintain milestone tracking, EPIC.md, and YAML updates. | --- ## Final Month Deliverables 1. Stable and validated data ingestion and processing pipeline. 2. Clean, deduplicated, and validated exports. 3. Complete centralized logging for all modules. 4. Comprehensive unit and E2E test reports. 5. QA validation report meeting 95%+ data quality target. 6. Final documentation package ready for release. --- ## End-of-Milestone Summary By the end of this one-month milestone, **MarketPilot** will be: * Fully operational for continuous market data collection and validation. * Tested at both unit and system levels. * Ready for integration with the upcoming agentic intelligence layer and production deployment. **Outcome:** A stable, scalable, and production-ready **Data and Intelligence Core** forming the foundation of the MarketPilot ecosystem.
Overdue by 4 month(s)•Due by November 30, 2025•18/28 issues closed