Algorithmic trading ispurchasing or selling stocks and other investment assets via an automated electronic order. In other words, software can be programmed with instructions to buy or sell an asset.

In recent years, Digital assets have taken the financial world by storm, becoming one of the most dynamic and talked-about asset classes globally. Despite their rapid growth, they have also faced ...

Algorithmic trading in India is set to reach $1.55 billion by 2033, driven by SEBI safeguards, AI-based strategies and rising ...

A Bot Copy Trading feature from Bitget allows one-click simulations of automated strategies as algorithmic trading is ...

The following Algorithm Q&A Special Report was crafted after conversations with the Buy and Sell sides of the Institutional Trading Community. This Report is not a re-hash of all things Algo, but ...

In recent posts, I have been focused on algorithm nuances that can have disproportionate effects on algorithm performance. In this post, I am going to move in the opposite direction and discuss a much ...

The consultation paper proposes strict oversight of algorithmic trading to curb volatility, manipulation, and system risks. The key takeaway is enhanced accountability and transparency without ...

Algorithmic trading has attracted much attention recently. It is estimated that by 2008, 40% of the trading volume in US equities markets will be contributed by algorithmic trading. Need for Testing ...

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 ...

In the fast-paced world of finance, the utilization of algorithmic trading software has become a game-changer. Defined as the use of computer algorithms to automate trading strategies, this ...