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.
- Updated
Mar 2, 2026 - C#
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
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
Official PyTorch Implementation for the "3D Gabor Splatting: Reconstruction of High-frequency Surface Texture using Gabor Noise" paper (Eurographics 2025 Short).
Code and documents from Econ 690 at Duke
High-frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states (2025)
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.
High-frequency broadband activity detected noninvasively in infants distinguishes wake from sleep states: Part 2 (2025)
Custom built Decision Tree + Boosted Trees + KernelPLS in python
SIMOTION Trace connector is a web-based application running on SIEMENS Industrial Edge
Forecasting GDP using MIDAS regressions with mixed-frequency macroeconomic indicators; includes data preparation, model estimation, and evaluation.
High frequency dynamics signal processing and analysis.
Identyfing stylized facts of online sports betting markets by analysing high frequency data from Betfair UK horse racing markets.
A rapid theta network mechanism for flexible information encoding (2023)
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.
Real-time GDP nowcasting for Argentina using high-frequency indicators and machine learning, deployed as an interactive web app on Vercel.
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