Prediction markets have gone mainstream. Now the mechanics that powered $44 billion in volume are spreading to stock picks, ...
Shares of Amazon.com Inc. (NASDAQ: AMZN) lost 2.37% over the past five trading sessions after gaining 2.54% the five prior. Despite having turned a corner after struggling for most of 2025, Amazon was ...
Rigetti Computing has become an early leader in the quantum computing industry thanks to its vertically integrated business. Investors are racing to capture a slice of this potential technological ...
DraftKings Inc. announced its formal entry into the prediction markets with DraftKings Predictions. The launch is a response to increasing prediction market competition. The launch expands DKNG's ...
Coinbase has rolled out commission-free stock trading for US users with support for both fiat and USDC. A new Kalshi-powered prediction market lets users trade outcomes tied to events like elections ...
Coinbase is racing toward its goal of creating an “everything app” with its platform adding a slew of new offerings, including stock trading and prediction markets. Update (Dec. 18, 2:40 am UTC): This ...
Coinbase will allow customers to trade stocks that aren’t tokenized. The firm will also offer access to Kalshi-powered prediction markets. The exchange’s app now supports novel assets on Solana.
This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines 14 ...
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, ...
Sometimes companies choose to split their stock in order to make their shares more accessible. Stock splits do not change the market value of a company. Microsoft has not completed a stock split in ...
Volatility forecasting is a key component of modern finance, used in asset allocation, risk management, and options pricing. Investors and traders rely on precise volatility models to optimize ...
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