Financial time series forecasting using R

Build a LightGBM model to predict volatility of stocks across different sectors over 10-minute periods

DFIR portfolio: investigation cases with IOCs & ATT&CK, plus operational detections (Splunk/Sigma).

Projet personnel de finance quantitative et algorithmique (Python / M1 Dauphine)

Automate Linux Volatility Commands (and symbols file retrieval)

Test moving average crossover trading systems for various moving average lengths for several assets in R and Fortran

Process Hacker is a powerful process viewer and system monitor designed for system administrators and developers.

Understanding what forensic artifacts are present in the Windows and Linux Operating Systems, how to collect them, and leverage them to investigate security incidents.

A project exploring the geometric structure of volatility surfaces using PCA, curvature analysis, and stochastic modeling to identify systematic patterns in option markets.

A series of methods contained in classes to implement volatility based approaches to underlying data. For example, volatility timing strategies.

monitor various information in kvm with vmi

Volatility Command Search Engine

volatility githubactions

Cryptocurrency Volatility Analyzer using Streamlit (Python)

HAR model that also allows modelling higher moments of realised volatility with F distribution under the GAS framework. All parameters of the F distribution can be time-varying if required.

Volatility profiles for Linux and Mac OS X

options black-schole calc mode

Dynamic and interactive dashboards based on financial data

options pricing engine