Clustering-based AI forecasts river water levels using just a few long records

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

Federal Reserve Research: Kalshi Prediction Markets Are Just as Good, if Not Better, Than Traditional Forecasting Methods

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

Time Series Forecasting in Financial Markets using Temporal Convolutional Network with Informer

Abstract: In recent years, time series forecasting in financial markets plays a crucial role for strategic decision making. Even though, the previous researchers suggested various advanced models ...