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Add StockKit to Sentiment Analysis & Alternative Data

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Add StockKit - AI-powered stock research reports
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Wilson Freitas
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@@ -320,6 +320,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [Asset News Sentiment Analyzer](https://github.com/KVignesh122/AssetNewsSentimentAnalyzer) - `Python` - Sentiment analysis and report generation package for financial assets and securities utilizing GPT models.
- [Social Stock Sentiment API](https://api.adanos.org/docs) - `Python` - REST API analyzing Reddit and X/Twitter for stock mentions and sentiment, providing buzz scores, trending stocks, and AI-generated trend explanations.
- [CoWorker Fin-Agent](https://github.com/ZiwayZhao/agent-coworker) - `Python` - LLM-powered A-share stock analysis via P2P agent collaboration. Technical analysis (MA60, volume-price patterns, golden eye), deep research reports using proprietary methodology, and market state summaries. Analysis logic stays private via Skill-as-API protocol.
- [StockKit](https://stockkit.net/) - `TypeScript` - Free AI-powered stock research reports for US, China & HK using Claude Opus and multi-model AI with 20+ technical indicators. [GitHub](https://github.com/kentmswood-ui/stockkit)
## Time Series Analysis