Algorithmic trading used to be something only Wall Street powerhouses could afford — complex systems, massive data and lightning-fast decisions were out of reach for most. Now, that's changing.

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 ...

Why do algorithmic trading systems amplify market manipulation? Learn how HFT, spoofing, and feedback loops intensify crypto ...

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 ...

The financial sector has changed a lot since AI has become a mainstream technology. Forget the Silicon Valley garage stereotype. Today’s hottest startups aren’t built on sweat and pizza alone. They’re ...

Asset managers are obliged to comply with best execution mandates while delivering consistent results to their investors. However, finding reliable algorithmic solutions across global markets is a ...

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 ...

Buy-side respondents have until 14 February to rate their brokers in The TRADE’s Algorithmic Trading Survey for 2025. The TRADE’s annual Algorithmic Trading Survey, allowing buy-side users to rate and ...

NEW YORK (Reuters) - A spine-chilling slide of nearly 1,000 points in the Dow Jones Industrial Average, its biggest intraday points drop ever, led to heightened calls for a crackdown on ...

While it was once something only Wall Street players could afford, algorithmic trading is now accessible to smaller investors and startups. Algorithmic trading is when you use computer programs to ...