GitHub Repository<\/a><\/p>\n News Sentiment<\/strong>: Ticker-matched and theme-matched news sentiment datasets. Price Breakout<\/strong>: Daily predictions for price breakouts of U.S. equities. Insider Flow Prediction<\/strong>: Features insider trading metrics for machine learning models. Institutional Trading<\/strong>: Insights into institutional investments and strategies. Lobbying Data<\/strong>: Ticker-matched corporate lobbying data. Short Selling<\/strong>: Short-selling datasets for risk analysis. Wikipedia Views<\/strong>: Daily views and trends of large firms on Wikipedia. Pharma Clinical Trials<\/strong>: Clinical trial data with success predictions. Factor Signals<\/strong>: Traditional and alternative financial factors for modeling. Financial Ratios<\/strong>: 80+ ratios from financial statements and market data. Government Contracts<\/strong>: Data on contracts awarded to publicly traded companies. Corporate Risks<\/strong>: Bankruptcy predictions for U.S. publicly traded stocks. Global Risks<\/strong>: Daily updates on global risk perceptions. CFPB Complaints<\/strong>: Consumer financial complaints data linked to tickers. Risk Indicators<\/strong>: Corporate risk scores derived from events. Traffic Agencies<\/strong>: Government website traffic data. Earnings Surprise<\/strong>: Earnings announcements and estimates leading up to announcements. Bankruptcy<\/strong>: Predictions for Chapter 7 and Chapter 11 bankruptcies in U.S. stocks. <\/p>\n We just launched an open investment data initiative<\/strong>. For academic users, these datasets are free to download<\/a> from Hugging Face. <\/p>\n All of our datasets will be progressively made available for free at a 6-month lag for all research purposes.<\/p>\n Sov.ai<\/a> plans on having 100+ investment datasets by the end of 2026 as part of our standard $285 plan. This implies that we will deliver a ticker-linked patent dataset that would otherwise cost $6,000 per month for the equivalent of $6 a month.<\/p>\n<\/div>\n submitted by \/u\/OppositeMidnight <\/a>
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