Slides and demo script for my talk at Codestock 2017
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Updated
May 6, 2017
Slides and demo script for my talk at Codestock 2017
Presentation and notebook for the lightning talk A Quick Intro to Hidden Markov Models Applied to Stock Volatility presented in R/Finance 2017.
Memory forensic tool for process resurrection starting from a memory dump
Development guide for Volatility Plugins
A short and small memory forensics helper.
C++ code: Manipulating data and extracting useful outputs
Stock market volatility alert demo
Malware Analysis Workshop
Package for option pricing and volatility calibration for index (and FX) options
A POC tool for initial quick memory analysis. DFIR for fun and learning!
Advanced machine learning techniques for volatility prediction on financial markets. The Kairos package was developed for CFM’s ENS DataChallenge 2018.
A technical analysis of price volatility in bitcoins for a over a year using 6 hour intervals
Simulate and estimate volatility by GARCH with/without leverage, riskmetriks. Compute Value-at-Risk and Test on VaR Violation
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