The new monitoring platform aims to detect suspicious trading as prediction markets face scrutiny over insider information.

Prediction markets are facing backlash over bets related to war, with Polymarket recently archiving some predictions on nuclear detonation.

Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes ...

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

DraftKings missed the mark with its guidance for this year as it plans steep investments in prediction markets. The lines between sports betting and prediction markets are already blurry, but ...

Four top AI companies plan to spend $650 billion this year on the artificial intelligence build-out. Nebius Group has a market cap of only $21 billion and looks to be a good bet to outperform the rest ...

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model. Analysis, a development of insights and a training of a prediction model for ...

Lemonade uses AI and machine learning to build a better, cheaper insurance model. Its loss ratio has come down significantly. Management is projecting positive adjusted EBITDA this year. Lemonade was ...

Finding stocks that can increase in value 5 times within five years is a lofty goal. That requires serious stock performance, and few companies can deliver that. To achieve 5 times returns in five ...

Abstract: Ensuring the accuracy of stock price predictions is crucial for maintaining financial stability and making informed decisions. The prompt identification of stock market trends and the ...

Coinbase is reportedly set to launch its own prediction markets with Kalshi, alongside potential tokenized stock offerings. Coinbase is reportedly preparing to launch its own prediction markets, ...