Jim Simons wasn’t a finance guy — he was a mathematician and Cold War codebreaker. Instead of hiring traders, he hired scientists who knew nothing about markets. His hedge fund, Medallion, used ...

Abstract: This paper proposes a method to optimize financial trading strategies by combining data augmentation, Bayesian-optimized XGBoost models, and genetic algorithms to enhance performance in ...

This is my final project for the ‘Intelligent Algorithmic Trading Assignment’ for the Andi Nugroho study unit. The final results for this project is best viewed using nbviewer, click on the following ...

Hong Kong, Oct. 29, 2025 (GLOBE NEWSWIRE) -- Arc Trading, a leading crypto market maker, has unveiled its new AI-driven algorithm designed to transform liquidity across digital asset markets. The ...

Independent investors often use the terms "algorithmic trading" and "AI trading" interchangeably, but the two are actually completely different. One isn’t better than the other—in the same way that an ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

In 2025, success in the markets depends on how intelligently you use technology. From retail traders to institutional investors, everyone is turning to bot trading — a system where trades are executed ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Kelley Cotter has received funding from the National Science Foundation. Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S.

Crypto signals are alerts that prompt you to buy or sell cryptocurrency or try a new strategy. Signals can be based on technical or fundamental analysis done by a human analyst or artificial ...

Dara-Abasi Ita writes about trading and investing for Investopedia and Investing.com, and he is an editor at Lawverse magazine. He has written about financial topics, including private equity, asset ...

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.