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 ...

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 ...

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...

This class of algorithms is designed to trade as close as possible to a common trading benchmark. VWAP (volume-weighted average price) This is probably the best-known and most commonly used trading ...

(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 ...

Finance 4.0., the latest phase of evolution in the industry, is set to embrace the utilisation of advanced technologies, and trading is no exception to the rule. The global algorithmic trading 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 ...

The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...

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 ...