Seyed Mohamad Seyed Hoseini, known professionally as Hoseini Finance, is a data-driven finance specialist, instructor, and ...

Algorithmic trading ispurchasing or selling stocks and other investment assets via an automated electronic order. In other words, software can be programmed with instructions to buy or sell an asset.

Backtesting is the process of applying a trading strategy to historical price data to see how it would have performed in the past. It allows traders to test their ideas and plans without using real ...

With growing client expectations and a constantly developing market landscape, Wesley Bray explores the evolution of algorithmic trading, delving into its use cases, the importance of data and trader ...

Nurp is at the forefront of cutting-edge financial technology that helps traders stay ahead of the trading curve. The platform boasts diverse algorithms tailored to address various aspects of trading ...

Algorithmic trading strategies, pivotal in today's financial markets, must be built on solid statistical methods and a sound understanding of market dynamics. These strategies automate trading by ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

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 ...

Quant investors today need access to high-quality data, powerful analytical tools, and significant resources to stay competitive and drive their strategies, according to John Bartleman, President and ...