Strategy just made its biggest Bitcoin buy of 2026, and Kalshi is running a $1 billion March Madness bracket contest.

Dragonfly Capital's Haseeb Qureshi explains why AI trading bots face structural limits — and why big tech won't build them.

AI agents are now placing trades on prediction markets through the same APIs that human developers use, and regulators are ...

Hackers use credentials stolen in the GlassWorm campaign to access GitHub accounts and inject malware into Python ...

While Strategy doubles down on accumulation, MARA Holdings (MARA) moved in the opposite direction. In early March 2026, MARA ...

China's OpenClaw craze is spawning quirky uses, from AI stock traders to blind-date wingmen and digital pets.

Finance careers such as investment banking, hedge funds, and venture capital offer some of the highest salaries.Technical ...

TakeProfit has introduced a browser-based strategy backtesting module within its cloud trading platform, adding new ...

Abstract: The majority of algorithmic trading studies rely on datasets with fixed physical time intervals, such as hourly or daily data, resulting in a discontinuous representation of time.

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

In theory, there’s no difference between theory and practice. In practice, the difference is huge. Many investing theories look great on paper, where taxes, fees and other frictions don’t exist.