Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of ...

Spotware—the team behind the multi-asset trading platform cTrader—has unveiled cTrader 5.4, a major release chock-full of ...

To use algorithmic trading, a trader must first create a strategy that includes the rules for entering and exiting trades. This can be done using a programming language such as Python or a trading ...

Algorithmic trading is a modern investment strategy that uses computer programs to execute trades based on mathematical algorithms and market data. In recent years, it has become increasingly popular ...

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 ...

Also referred to as automated trading or black-box trading, algorithmic trading uses several market variables in its algorithm. These variables include price, time, and volume.

The History Of Algorithmic Trading From the mid-2000s to 2010, algorithmic trading expanded significantly due to advances in computing power and data analytics.

Execution algorithms are crucial buy-side-trader tools. While Europe lags behind the U.S., the gap may soon close as more sophisticated algorithms help source liquidity. Read the full analysis.

Algorithmic trading uses computers to trade stocks quickly based on set rules. It can affect market prices and volatility, impacting long-term investment portfolios. Such trading requires specific ...

According to the report, the algorithmic trading market was valued at $17.0 billion in 2023, and is estimated to reach $65.2 billion by 2032, growing at a CAGR of 15.9% from 2024 to 2032.