Adds Polaris Knowledge API as a third data vendor alongside yfinance and
Alpha Vantage. Polaris provides sentiment-scored intelligence, composite
trading signals, and news impact analysis that raw data feeds don't offer.
Implements all existing vendor methods plus 3 Polaris-exclusive methods
(sentiment_score, sector_analysis, news_impact).
Uses cachetools.TTLCache for thread-safe caching, shared financials fetch
to avoid redundant API calls, and polaris-news SDK for all API access.
Tested with real API calls — all functions return valid data.
Addresses #305, #11, #86.
- Point requirements.txt to pyproject.toml as single source of truth
- Resolve welcome.txt path relative to module for CLI portability
- Include cli/static files in package build
- Extract shared normalize_content for OpenAI Responses API and
Gemini 3 list-format responses into base_client.py
- Update README install and CLI usage instructions
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
John Weston
Yijia-Xiao
Yijia Xiao
Geeta Chauhan
Atharv Sabde