Deutsche Borse HFT Research
Market microstructure analysis using nanosecond-level trading data from Eurex and Xetra
Decoding the Flash: A Data-Driven Approach to Measuring Ultra-Fast and High-Frequency Traders Activity
SubmittedGabin Taibi, Stefan Schlamp, and Joerg Osterrieder
SSRN (2024)
This paper presents a novel methodology for classifying market participants in electronic financial markets based on their trading speed, and measure their participation in the financial markets. As t...
Nanoseconds traders: How Ultra-Fast and High-Frequency Traders Reshape Market Microstructure
In ProgressGabin Taibi, Stefan Schlamp, and Joerg Osterrieder
Physica A (2025)
The advent of ultra-fast (UFT) and high-frequency trading (HFT) has fundamentally transformed financial markets, sparking intense debate about their impact on market quality and stability. This study ...
Identifying Market Signals: A Statistical/Machine Learning Approach
PlanningGabin Taibi, Stefan Schlamp, and Joerg Osterrieder
Top Journal TBD (2025)
Data Source: Deutsche Borse Group - Eurex and Xetra platforms
Period: January 2021 - January 2024
Collaboration: Stefan Schlamp (Deutsche Borse)