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 ...

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 ...

A technical study from Passify examining how unintended strategy correlation increases portfolio risk and the necessity ...

FINRA recently issued Regulatory Notice 15-06 requesting comments on the proposal that would require the registration of associated persons involved in the design, development or modification of ...

In the latest regulatory action addressing high frequency and other algorithmic trading, a recent FINRA Regulatory Notice seeks comment on a proposed rule change under which persons associated with 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 ...

Global financial markets are entering a new era of digital transformation, one in which data-driven analysis and algorithmic trading are no longer optional tools but core elements of modern investing.

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 MarketWatch News Department was not involved in the creation of this content. Dallas, Texas , Dec. 16, 2025 (GLOBE NEWSWIRE) -- If you hold XRP and have been looking for a way to put your position ...

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 ...