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 ...

As profit season ramps up, companies like Orica and Worley are turning to AI and analysis to better communicate and offset ...

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 ...

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 ...

For algorithmic trading or any kind of high frequency trading, having a solid, backtested trading strategy, complete with entry and exit signals and a risk management framework is key to success. Most ...

Is the time ripe now for using algorithms to trade foreign exchange? After decades of being used to trade equities and equity derivatives, and as institutional money managers move away from equities ...

Raleigh, North Carolina, United States, January 20, 2026 -- Helix Alpha Systems Ltd , a quantitative research and systems-engineering firm, today announced the deployment of a next-generation research ...

The Need for Algo Trading Digital assets are inherently volatile, coupled with their 24-hour trading window, making them ideal candidates for automated trading. While it is nearly impossible for a ...

Algorithmic trading (algo trading for short) uses computer programs to execute trades automatically based on predetermined criteria. These programs enter and exit positions on traders' behalf when ...

The first type of algo trading strategy that we'll talk about is an arbitrage strategy. Arbitrage strategies use price differentials to generate risk free profit. Although these price differentials ...