VisualHFT is a WPF/C# desktop GUI that shows market microstructure in real time. You can track advanced limit‑order‑book dynamics and execution quality, then use its modular plugins to shape the analysis to your workflow.

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

Build your own historical Limit Order Book dataset

[Eurographics 2025 Short] Official PyTorch Implementation for the "3D Gabor Splatting: Reconstruction of High-frequency Surface Texture using Gabor Noise" paper

Companion to publication "Understanding Jumps in High Frequency Digital Asset Markets". Contains scalable implementations of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy high frequency data

Code and documents from Econ 690 at Duke

C++/Python microstructure research engine for event-driven limit order book prediction and reproducible quantitative experiments.

High-frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states (2025)

High-frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states: Part 2 (2025)

Forecasting GDP using MIDAS regressions with mixed-frequency macroeconomic indicators; includes data preparation, model estimation, and evaluation.

The SIMATIC library "LEdgeBuffer" allows creating a local buffer in the PLC to sample high speed signals. This buffer and the recording job can be accessed and controled via OPC-UA.

Custom built Decision Tree + Boosted Trees + KernelPLS in python

SIMOTION Trace connector is a web-based application running on SIEMENS Industrial Edge

A rapid theta network mechanism for flexible information encoding (2023)

High frequency dynamics signal processing and analysis.

End-to-End Python replication of Camara & Aublin's (2025) monetary spillover analysis methodology. Implements rotational-angle decomposition, Bayesian VAR with Normal-Wishart priors, sign restrictions for shock identification, and a full robustness suite for international macroeconomic analysis.

High-frequency identification of monetary policy surprises and their effects on the yield curve and macroeconomic outcomes.

DroxenBot is a research project exploring the design of scalable, event-driven architectures for real-time blockchain data ingestion and autonomous decision systems. The project investigates how intelligent agents can operate reliably in high-velocity, noisy environments using distributed systems and machine learning techniques.

HF Macroeconomic Spillovers