TakeProfit Inc, operator of the cloud trading platform TakeProfit.com, this week announced the launch of a cloud-based strategy backtesting module available to both paid and free-tier users. The ...

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...

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 ...

In the dynamic realm of modern trading, technological advancements are revolutionizing the buying and selling of assets. This article aims to provide readers, particularly those in the tech industry, ...

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 ...

Algorithmic trading (algo trading for short) uses computer programs to execute trades automatically based on predetermined criteria. These programs enter and exit positions on traders' behalf when ...

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 ...

Algorithm trading firms, also known as quantitative trading firms, are financial organizations that use sophisticated algorithms and mathematical models to make investment decisions in financial ...

Over the past couple of years, big data has emerged as an integral constituent in algorithmic trading with regard to how traders perceive markets and make informed decisions. In that regard, a host of ...