Sub-microsecond bare-metal execution engine with deterministic replay, lock-free order path, and hardware-timestamped latency measurement.
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Updated
May 7, 2026 - C++
Sub-microsecond bare-metal execution engine with deterministic replay, lock-free order path, and hardware-timestamped latency measurement.
Exchange-grade CLOB matching engine + microstructure analytics in C++20
WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
WSDM'2021: Temporal Cross-Effects in Knowledge Tracing
Python and MATLAB code for Stein Variational sampling methods
MCMC Inference for a Hawkes process in Julia
A statistical learning toolkit for high-dimensional Hawkes processes in Python
This repository contains recent background materials, current works, and codes for researching in TPP.
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
Parametric estimation of multivariate Hawkes processes with general kernels.
package useful for likelihood-based inference
A collection of algorithmic trading strategies implemented in Python. Ideal for backtesting and refining trading ideas, this repository serves as a resource for quantitative traders and developers interest
Python Package for simulation and estimation of Hawkes processes
Codes for "The European intraday electricity market: a modeling based on the Hawkes process"
Spatial analysis using Deep Spatio Temporal Point Process (DeepSTPP) updated with state-of-the-art mamba state space model, using spatiotemporal Hawkes Process, spatiotemporal self-correcting process, NJ COVID-19 and Japanese earthquake data.
A novel framework for learning latent information diffusion mechanism in online discussion forum
"Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data" MLHC 2017
⚡ Execute trades with unmatched speed using this ultra-low latency engine designed for algorithmic trading, ensuring nanosecond precision and reliability.
Statistical volume anomaly detection for trade streams - Hawkes process, CUSUM, and Bayesian Online Changepoint Detection (BOCPD). Zero dependencies. TypeScript.
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