Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to ...

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 ...

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 ...

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 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 ...

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 ...