To track the real flow of short-selling funds using data monitoring tools, start by leveraging financial APIs and market data platforms to collect real-time trading data, including stock prices, volumes, and short interest. Integrate web scraping tools to monitor SEC filings, insider trading reports, and institutional ownership changes. Use social media analytics, such as X post sentiment analysis, to detect coordinated short campaigns or market manipulation signals. Deploy network analysis to map fund movements across exchanges, identifying patterns in high-frequency trades or dark pool activities. Cross-reference this with blockchain data for crypto-related shorts, if applicable. Finally, employ machine learning models to predict anomalies in fund flows, ensuring compliance with regulatory frameworks. This multi-layered approach provides a comprehensive view of short-selling dynamics.