# newshedge.com

> AI-optimized mirror of newshedge.com containing 23 pages totalling 42,579 words of clean markdown content, structured data, and semantic HTML. Original source: https://newshedge.com/. Last updated: 2026-06-16T06:47:25.606Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [NewsHedge](/content/site-root.html) (421 words)

## Articles & Blog Posts

- [Predicting break-points in trading strategies with Twitter](/content/wp-content/uploads/2025/03/predicting_break-points_with_twitter_data-pdf.html) (4,251 words)
- [Research Program on Forecasting](/content/wp-content/uploads/2025/03/using_social_media_to_identify_market_inefficiencies-pdf.html) (8,620 words)
- [News Correlation Study](/content/wp-content/uploads/2025/03/newshedge_news_correlation_study-pdf.html) (47 words)
- [NewsHedge vs. Benzinga Alerts](/content/wp-content/uploads/2025/03/newshedge_vs_benzinga_study-pdf.html) (309 words)
- [Case Study #3](/content/case-study/case-study-3/index.html) (165 words)
- [Case Study #1](/content/case-study/case-study-1/index.html) (189 words)
- [Case Study #6](/content/case-study/case-study-6/index.html) (166 words)
- [Case Study #2](/content/case-study/case-study-2/index.html) (164 words)
- [Case Study #5](/content/case-study/case-study-5/index.html) (159 words)
- [Case Study #4](/content/case-study/case-study-4/index.html) (152 words)
- [Can Twitter Help Predict Firm-Level Earnings and Stock Returns?](/content/wp-content/uploads/2025/03/can_twitter_help_predict_returns-pdf.html) (12,511 words)
- [NewsHedge](/content/wp-content/uploads/2025/03/newshedge_full_day_review-pdf.html) (196 words)
- [wp-content/uploads/2025/03/forecasting_with_twitter_data-pdf.html](/content/wp-content/uploads/2025/03/forecasting_with_twitter_data-pdf.html) (11,999 words)
- [NewsHedge Intellectual Property](/content/ip/index.html) (645 words)
- [wp-content/uploads/2025/03/gnip_unexpected_events_in_social_data-pdf.html](/content/wp-content/uploads/2025/03/gnip_unexpected_events_in_social_data-pdf.html) (1 words)
- [Your Competitive Edge](/content/case-studies/index.html) (399 words)
- [Twitter Correlation Study](/content/wp-content/uploads/2025/03/newshedge_twitter_correlation_study-pdf.html) (758 words)
- [Our Tracked Assets](/content/assets/index.html) (532 words)
- [Frequently Asked Questions](/content/faqs/index.html) (498 words)
- [Let's Connect](/content/contact/index.html) (22 words)
- [We Connect Market-Moving Events to Social Context](/content/about/index.html) (290 words)
- [Intuitively Structured Data. Customized for You.](/content/products/index.html) (85 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/robots.txt): Crawler directives