New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
Traders are using Claude AI to build automated Polymarket trading bots that scan news, detect mispriced probabilities, and execute trades.
Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...
Valory co-founder David Minarsch says autonomous agents running on the Olas protocol are giving retail traders a 24/7, strategy-driven edge on platforms like Polymarket.
House and Senate ethics committees give no financial disclosure guidance on event contracts or prediction markets — unlike stock, cryptocurrency and bond trades.
The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...
Interest in prediction markets has soared among political junkies, many of whom flock to the platforms to track elections, monitor Congress and more.
Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...
Dustin Gouker, the author of a Substack about prediction markets, says the media could benefit from keeping an eye on Kalshi and Polymarket.
Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...
Abstract: With the growing significance of renewable energy in the global energy structure, accurate photovoltaic power prediction is crucial for efficient power grid management. However, real-world ...
Create New Item Forecast Entries. Update Existing Item Forecast Entries. Delete Existing Item Forecast Entries (Delete by setting the Forecast Quantity = 0). Opens an empty spreadsheet where the user ...