Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

S&P Global today announced the completion of its acquisition of Enertel AI Corporation, a company specializing in AI and ...

Morgan Stanley reiterates Nvidia as overweight Morgan Stanley says Nvidia laid out a "winning strategy" at its GTC Conference ...

After a rough stretch, investment firm AQR is on a 5-year hot streak thanks to a new AI infused investing strategy and strong ...

As the legal war over how to regulate prediction markets rages on, financial institutions are embracing the industry anyway.

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

Strong predictive signals don't automatically translate into investable strategies, especially at institutional scale.

Kalshi prediction contracts put the odds of an S&P 500 correction around 58% in 2026. The stock market tends to suffer a steep decline during midterm election years. Contracts on the popular ...

Individual investors who embraced high-risk, high-reward stock bets in recent years are now flocking to prediction markets. For the cohort that piled into options—which give the right to buy or sell a ...

Ethereum co-founder Vitalik Buterin said he is starting to “worry” about the direction of prediction markets and suggested that they shift to become marketplaces to hedge against price exposure risk ...

Faceless avatars chime in with a standard missive. “Gnoise,” they say—a riff on “gm” or “gmorning,” which is internet parlance for greeting a new day. Noise’s fandom seems to be thriving, at least for ...

An end-to-end automated system for daily stock market predictions using machine learning, featuring email notifications and a Streamlit web interface. market_automation/ ├── .github/ │ └── workflows/ ...