Skip to main content

How Does the Use of High-Frequency Trading (HFT) Algorithms Relate to Front-Running Accusations?

HFT algorithms, designed for speed, can exploit minor price discrepancies and information asymmetries. While not all HFT is front-running, some HFT strategies involve detecting large pending orders (e.g. in the mempool or through order book changes) and trading ahead of them.

This practice, often called 'order anticipation,' blurs the line between legitimate speed advantage and illegal front-running, leading to frequent accusations.

How Do High-Frequency Trading (HFT) Firms Utilize the Detection of Iceberg Orders to Their Advantage?
What Algorithmic Strategies Are Used to Detect the Presence of Hidden Volume from Iceberg Orders?
Can Machine Learning Models Be Trained to Detect Iceberg Orders More Effectively than Rule-Based HFT Algorithms?
How Do Exchanges Design “Speed Bumps” or Randomized Order Queues to Counter HFT Detection of Icebergs?