One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to ...

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 ...

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

For more than three decades, Nirvana Systems has pursued an ambitious goal that many trading technology firms promise but few ...

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 ...

Find the best AI crypto trading bot in 2026. Compare the top 10 profitable platforms to easily automate trades and maximize your gains.

(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 ...

Futures Trading Algorithms involve using automated computer programs to conduct trades in the futures markets. These algorithms evaluate market data and autonomously make trading decisions, aiming to ...

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 ...

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 ...

More than six years after implementation, supervisory practice has begun to vary between member states. ESMA’s intervention suggests concern that uneven ...