Showing 1-12 of 12 projects
An advanced memory forensics framework for analyzing malware and volatile data
Technical Analysis Library using Pandas and Numpy for financial data analysis and trading strategies.
A Python library for technical analysis of stocks and futures using the Chaikin volatility indicator.
Volatility 3.0 is a powerful Python-based digital forensics framework for analyzing memory dumps.
A Python-based Binance trading bot that analyzes market volatility and places trades on the highest gaining coins.
LiME is a Loadable Kernel Module (LKM) for acquiring volatile memory from Linux and Linux-based devices, including Android.
A comprehensive Python library for estimating and trading financial market volatility.
Differentiable SDE solvers with GPU support and sensitivity analysis
A visualization tool for memory forensics, built using Memprocfs and Volatility3.
A comprehensive Python library for modeling and forecasting financial time series data using ARCH models.
A Python library for pricing financial options and derivatives.
A Rust library for acquiring and analyzing volatile memory on Linux systems.
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