Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

Institutional investors, asset managers and hedge funds are invited to rate the service, features and capabilities of their algo providers in The TRADE’s 2024 Algorithmic Trading Survey. The TRADE’s ...

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 ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Pre-trade analysis tools help the algorithmic trader by setting reasonable expectations regarding trading costs, identifying outliers, and assisting in the choice of an appropriate strategy. Where pre ...

The official introduction of XRP algorithmic trading into the US bond market marks a significant step towards compliant and ...

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 ...

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 ...

Strava, a San Francisco–based fitness website whose users upload data from their Fitbits and other devices to track their exercise routines and routes, didn’t set out to endanger U.S. military ...