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 ...

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 ...

A technical study from Passify examining how unintended strategy correlation increases portfolio risk and the necessity ...

(EXECUTION MATTERS is a Traders Magazine content series focused on the topics most important to traders and technologists in US equities and options markets. EXECUTION MATTERS is produced in ...

Test Strategy for Algorithmic Trading One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market ...

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 ...

In his 2019 book "The Man Who Solved The Market," author Greg Zuckerman describes Renaissance Technologies frontman Jim Simons standing outside his Manhattan, New York, office with his trademark Merit ...

Global financial markets are entering a new era of digital transformation, one in which data-driven analysis and algorithmic trading are no longer optional tools but core elements of modern investing.

Algorithmic trading in crypto leaves little room for error. A slow API, shallow order books, or unreliable execution can turn a profitable strategy into a losing one ...

NEW YORK CITY, NY / ACCESS Newswire / June 26, 2025 / AstraBit has integrated a portfolio optimization engine grounded in Markowitz’s Modern Portfolio Theory (MPT) and Post-Modern Portfolio Theory ...