MoatRadar

MoatRadar is a specialized analytical service for investors, designed to automatically scan financial markets to identify promising investment ideas. Its main value lies in systematizing and making accessible to a wide audience the investment strategies of large funds and renowned managers, such as Warren Buffett or Cathie Wood. The tool is positioned as a 'radar' for finding companies with a wide economic moat, utilizing artificial intelligence and machine learning technologies for data analysis and filtering.

Key features: The service conducts daily scans of thousands of public companies and crypto assets, matching them against criteria from open investor letters, fund presentations, and regulatory filings (e.g., 13F). Users can track which stocks or tokens major players have recently entered or exited. The system offers detailed filters by industry, market capitalization, transaction type, and specific investor, allowing for rapid narrowing of the search scope. A technical feature is the aggregation of data from multiple sources into a unified dashboard with customizable alerts.

MoatRadar's uniqueness lies in its narrow specialization on the strategies of market 'whales,' distinguishing it from classic stock screeners that focus on fundamental or technical indicators. The service doesn't just provide raw transaction data but interprets it within the context of each investor's long-term philosophy. Special features worth noting include the 'Moat Alerts' mode, which notifies users of significant capital movements in near real-time. The platform is available as a web application, with plans for mobile clients.

It is ideally suited for retail investors, traders, financial analysts, and anyone building their portfolio by following the actions of institutional players. A specific use case is finding ideas for long-term investments by analyzing which stocks with sustainable competitive advantages are currently being accumulated by large value funds. The tool is also useful for checking one's own investment hypotheses against the actions of recognized market authorities.