London is fast becoming one of the world’s leading hubs for quantitative finance, as a wave of data-driven trading firms post ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

Varun Goyal chose an AI startup over a quant role for broader career options. Goyal's master's program allowed exploration of AI and quant, influencing his career choice. He said AI startups offer ...

The emergence of artificial intelligence is forcing a lot of people, companies, and even whole industries to rethink the way they fundamentally operate. One such industry is the financial industry and ...

Supermicro (NASDAQ:SMCI) collaborated with Intel (NASDAQ:INTC) and Micron Technology (NASDAQ:MU) to build a new system that ...

Quantitative trading analysis requires skills that are well-honed and provide a market edge that’s clearly-defined are typically comprised of several key elements. In order to achieve long-term ...

Stock trading is always a risky affair, and the standard practice involves continuous monitoring, analysis with gut feeling. While this works for most people, there are other ways to reap revenue from ...

Join us for an exclusive webinar where we unveil our new Python API designed to streamline trading as a price taker in FX ...

Quantitative trading relies on mathematical models as part of its strategy to execute trades. Quantitative trading relies on mathematical models and statistical analysis to make trading decisions.

The recent CoinDesk opinion article “10 Reasons Quant Strategies for Crypto Fail” by Jesus Rodriguez makes for a great headline, but it overlooks relevant developments and key data in the sector.