Algorithmic trading refers to using computer programs and mathematical models to execute trades automatically.

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

Algorithmic trading automatically places stock orders based on price and other conditions. Here are the basics of this method, how it works, its pros and cons, and when to use it.

About the course Gain valuable insights into the diverse components, strategies and challenges of algorithmic and quantitative trading. This highly informative learning event will equip participants ...

Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS. How to get it Please ensure you read the terms and conditions to claim this offer.

The strategy’s creator, an Australian based crowd researcher, leveraged CloudQuant’s market simulation and python-based back-testing tools, to prove the algorithm’s performance and ...

AI algorithmic trading’s impact on stocks is likely to continue to grow.

The global algorithmic trading market has demonstrated remarkable growth, expanding from $16.02 billion in 2022 to $18.06 billion in 2023, with a Compound Annual Growth Rate (CAGR) of 12.7%.

Algorithmic high-frequency trading (HFT) has a number of risks, and it can also amplify systemic risk because of its propensity to intensify market volatility.