Traders are using Claude AI to build automated Polymarket trading bots that scan news, detect mispriced probabilities, and execute trades.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Researchers at the Federal Reserve recently published a paper on Kalshi's effectiveness in predicting certain economic ...

Palantir is going to be working with Polymarket to help crack down on insider trading and other suspicious activities.

Hackers use credentials stolen in the GlassWorm campaign to access GitHub accounts and inject malware into Python repositories.

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 ...

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 ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Abstract: In this paper, we explore applying multivariate time series models using Python to forecast the impacts of severe weather on agricultural supply chains. Using data on key environmental ...