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gbzenobi/README.md

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

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  1. Hypercube-d-rule-inductor Hypercube-d-rule-inductor Public

    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 o…

    Jupyter Notebook 2

  2. Delta-TSP-SplittingTwoOpt-heuristic Delta-TSP-SplittingTwoOpt-heuristic Public

    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…

    Jupyter Notebook 2

  3. Predictive-Collatz-conjecture-using-classification-and-regressive-translation-models Predictive-Collatz-conjecture-using-classification-and-regressive-translation-models Public

  4. CSharp-NT8-OrderFlowKit CSharp-NT8-OrderFlowKit Public

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

    C# 193 89

  5. Demystifying_market_patterns_-SP500-EDA-Bayes_engine-cryptography_and_much_more Demystifying_market_patterns_-SP500-EDA-Bayes_engine-cryptography_and_much_more Public

    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, …

    Jupyter Notebook 4 3

  6. Elbow_selection_method_using_lagrange_calculus_and_numerical_analysis Elbow_selection_method_using_lagrange_calculus_and_numerical_analysis Public

    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

    Jupyter Notebook