Real Estate — AI Trading Signals & Analysis

Open Alpha monitors SEC Form 4 insider filings for all major real estate companies in real-time. When executives buy their own stock, our AI scores the trade on a 0-100 conviction scale. Cluster buying — multiple insiders buying within 10 days — generates the highest conviction scores. Sign up free to see current insider activity.

Our AI convergence engine monitors 8 independent data sources for real estate stocks: insider trades, options flow, congressional activity, 8-K material events, dark pool volume, FDA catalysts, government contracts, and COT positioning. When multiple sources agree, a high-conviction signal fires. We've processed 38 signals for 19 real estate tickers.

Open Alpha monitors congressional trade disclosures from both the House and Senate for all real estate companies. Congressional trades are reported with a 28-45 day delay by law. Our system cross-references political trades with insider buying and options flow to detect convergence patterns.