Developing algorithmic trading models and strategies is no simple task. To make matters worse the current state of crypto is highly volatile and rapidly changing. The market has become war zone due to ...

In 2026, quant trading platforms are increasingly relying on artificial intelligence (AI) to optimize trading strategies, ...

Miletus Trading was founded on the belief that the buy-side needed more efficient user friendly trading tools to establish real-time quantitative execution strategies. We have assembled an elite ...

The rapid development of artificial intelligence is reshaping numerous industries, including digital finance. In the ...

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 ...

We spoke with Viktoria Dolzhenko, an expert with over a decade of experience developing complex systems, about her new book, Algorithmic Trading Systems and Strategies: A New Approach: Design, Build, ...

Algorithm trading firms, also known as quantitative trading firms, are financial organizations that use sophisticated algorithms and mathematical models to make investment decisions in financial ...

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 ...

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 ...

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 ...