Abstract: The stock market's volatility which makes it challenging for human traders to make accurate price predictions has led to a notable increase in prediction models over the past few decades.

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

Abstract: Stock movement prediction remains challenging due to the complexity of integrating heterogeneous data sources and capturing intricate temporal-semantic relationships. Existing approaches ...

Supported Releases: These releases have been certified by Bloomberg’s Enterprise Products team for use by Bloomberg customers. Experimental Releases: These releases have not yet been certified for use ...

This directory contains samples for construction of an Iceberg-based data lake using Docker Compose and Altinity Antalya. The docker compose structure and the Python scripts take inspiration from ...

Broadcom's latest deals reinforce its industry leadership in next-generation AI data centers. The semiconductor maker is forecasting explosive growth in AI chips and networking. Its highly profitable ...

LONDON, April 6 (Reuters) - Amazon, Microsoft and Alphabet's Google have each recently abandoned construction of multibillion-dollar data centers over community opposition and now the companies are ...

Oracle is building some of the most powerful and most cost-efficient AI data centers in the industry, and demand is through the roof. The company has a record $553 billion order backlog from AI ...

Shares in Boston Scientific tumbled to their lowest level in more than two years on Monday after the medical device maker shared what should have been encouraging new data for its Watchman heart ...