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Hello world, Gabriel Zenobi here

I am a Physics student with 1 year and a half of career and 1 year of studies in Data Science, in 2022 I started the degree of Computer Scientist. Im a lover of mathematics, modeling of dynamic systems and simulation. During 2021 I worked in +15 independent projects related to financial markets, researching and developing techniques for the creation of trading systems using Machine Learning and Deep Learning with Python in addition to the Ninjatrader and Metatrader platforms, along with the management of risk metrics using a simulator that I programmed in Cython.

Another of my important works in this area was the creation of a toolkit for investment funds, banks and traders... this is the Order flow, Volume profile, Bookmap, Volume Filter, among others(the Wyckoff method). Even in my search I consider myself a student in this subject and I am looking to work with people who are interested in the use of these technologies applied to the markets(hedge funds, traders, investment banks, etc..) for make algorithmic trading and data science.

Skills

mathematics Applied Mathematics
computerscience Computer science
physics Physics
python Python
cython Cython
Cpp C++
WebDev HTML / CSS / Javascript / PHP
ML Machine Learning
CSharp Ninjatrader8: C#
MQL5 Metatrader 5: Mql(embedded language), Optimization, Risk metrics(Sharpe, RMSE, Expected Payoff, Drawdown and another factors)
system Trading systems developing; Python, Cython, TALib, Machine Learning, Ninjatrader8 and Metatrader 5.
datascience Data Science
statistics Statistics

Social media.

ins Instagram: www.instagram.com/gab.zenobi/
lin LinkedIn: www.linkedin.com/in/gabriel-zenobi

Gabriel Zenobi's Projects

csharp-nt8-orderflowkit icon csharp-nt8-orderflowkit

Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.

delta-tsp-splittingtwoopt-heuristic icon 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.

demystifying_market_patterns_-sp500-eda-bayes_engine-cryptography_and_much_more icon 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.

file-xor-encryption icon 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.

forex-methods_to_detect_market_manipulation icon 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.

hypercube-d-rule-inductor icon 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.

linux-kernel.driver-ring0_hook_for_immortal_processes icon 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!.

market-conditions-miner-demo icon 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.

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