Gabriel Zenobi's repositories
gbzenobi
Config files for my GitHub profile.
Delta-TSP-SplittingTwoOpt-heuristic
The following paper aims to study and understand a heuristic model called splitting 2-opt that I have developed to find a suboptimal solution to the well-known millennium problem δ−TSP, inspired by the 2-opt classic heuristic.
Hypercube-d-rule-inductor
This is a new machine learning model which I create from scratch, it is a mathematical model of supervised learning and rule induction, which can be used both for data mining and for the creation of an expert system.
Elbow_selection_method_using_lagrange_calculus_and_numerical_analysis
My technique is based on the following fundamental pillars: Interpolation, Calculus, Numerical analysis, Numerical methods, linearity. Also i explore KMeans and elbow method in machine learning
Analyzing-SMA-EMA-and-RSI-with-Monte-Carlo-and-Probabilistic-Programming
statistical analysis using probabilistic programming techniques, such as Monte Carlo simulation to study the effect of outliers on the formulas.
Alcohol-consumption-all-over-the-world
Analysis of alcohol consumption all over the world, using EDA, barplot and mean analysis and geolocator
Market-conditions-miner-demo
Real-time demo of the market conditions miner. An application I've been working on, created with the intention of mining the best(ideal) market conditions based on profit-loss. It uses an expert algorithm totally designed by me, Monte Carlo simulations and an artificial intelligence algorithm known as K-Means, it also applies a mathematical formula that I developed specifically for this method, with which it selects the best cluster based on the characteristics mentioned earlier.
Linux-Kernel.Driver-Ring0_hook_for_immortal_processes
Linux kernel driver hook in Ring0 for make all the processes in Ring3 immortal. This was one of my jobs back in 2013-2014, when I was programming kernel-modules. It started as a proof of concept but also serves as a basis for manipulating processes from kernel space, with this you can do very powerful rootkits at system level!.
FOREX-Methods_to_detect_market_manipulation
This study seeks to uncover and help detect manipulation in the financial markets, although it is focused on forex the logic applies to any market. For this we will explore three statistical methodologies combined with the use of algorithms, and typical formulas in machine learning.
File-XOR-Encryption
A small lib that i program back in 2014, useful for encrypt resources(images in a videogame for example) using a XOR key.
Demystifying_market_patterns_-SP500-EDA-Bayes_engine-cryptography_and_much_more
Hello, this is my first Data Science research. Its about detecting patterns in financial markets, for this i used a lot of techniques; statistics, probability, combinatorial analysis, brute force, markovian property, stochastic process principles, bayes theorem, EDA, among others... this focus on S&P500(Futures) but in general the logics and algorithms studied apply in any market, even FOREX.
CSharp-NT8-OrderFlowKit
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.