Bitwise estimates that long-term crypto investors sold over $100 billion worth of Bitcoin last year in anticipation of a potential cyclical market crash. The firm also outlined a surge in AI stocks ...

The Bitwise Crypto Industry Innovators ETF is filled with crypto miners that are pivoting to AI infrastructure. Unfortunately, this fund has a 0.85% expense ratio, which is quite excessive compared to ...

This ETF is a nifty way to gain cryptocurrency exposure. It's potential-rich, but prospective investors need to look under the hood. Some of its holdings are spreading their wings beyond crypto.

The digital asset market is facing a critical fork in the road, according to crypto asset management firm Bitwise. In a Monday blog post, the investment manager warned that the stalling of the Clarity ...

Eighth annual benchmark study finds stablecoins, tokenization, and fiat debasement are the most-watched themes for investment professionals in 2026. More professional advisors own crypto than ever ...

PHOENIX (AZFamily) — The owner and two operators of a Phoenix-area sushi chain have been indicted after investigators said they were harboring illegal workers and keeping them in stash houses. Qin Liu ...

Devyani International and Sapphire Foods, two major franchisee operators, for U.S. based Yum!Brands in India to merge. Devyani International will issue 117 shares for every 100-equity share of ...

The Trump administration, for the second time in recent weeks, is using allegations of fraud to justify increased federal law enforcement actions in Minnesota, the state with the country’s largest ...

Standard Chartered predicts XRP will reach $8 by 2026 based on spot ETF inflows of $4B to $8B and regulatory clarity. XRP is down 13% year-to-date at $1.88 despite SEC lawsuit resolution and $1.25B in ...

Asset management firm Bitwise expects 2026 to be a breakout year for crypto, with Bitcoin (CRYPTO: BTC), Ethereum (CRYPTO: ETH), and Solana (CRYPTO: SOL) all pushing to new all-time highs as ...

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several ...