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aguumg/README.md

Hi! I am Agustín 😁

I am a mathematician from the University of Buenos Aires, FCEN, and I am deeply passionate about my work. I am interested in quantitative research and particularly in applications to the cryptocurrency world. I am PhD on the topic of Non-linear problems from the study of financial models and game theory.

📚|PhD Mathematics.

📊|Researcher.

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  1. Quant-Analysts/LSTM-NN-Analysis-of-Bitcoin-and-Gold-daily-direction Quant-Analysts/LSTM-NN-Analysis-of-Bitcoin-and-Gold-daily-direction Public

    We show applications of Long Short-Term Memory (LSTM) neural networks using Keras Python package to the directional classification problem of Bitcoin and Gold daily price direction prediction.

    Jupyter Notebook 1 1

  2. Calculo-de-Volatilidades-en-R Calculo-de-Volatilidades-en-R Public

    Algoritmos en R para las volatilidades propuestas en el Capitulo 9 del libro Paul Wilmott Introduces Quantitative Finance.

  3. Redes-Neuronales-en-R Redes-Neuronales-en-R Public

    En este trabajo exhibimos, en dos ejemplos distintos, la manera de implementar un modelo predictivo entrenando redes neuronales.

  4. Curso-Ciencia-de-Datos-con-R-Fundamentos-Estadisticos Curso-Ciencia-de-Datos-con-R-Fundamentos-Estadisticos Public

    Material del curso dictado por la FCEN, UBA, el 1er cuatrimestre del 2020.

    TeX

  5. Curso-Introduccion-a-la-Computacion-para-Matematicos Curso-Introduccion-a-la-Computacion-para-Matematicos Public

    Material sobre el curso dictado por la FCEN, UBA, el 1er cuatrimestre del 2019.

    Python

  6. Analisis-de-la-direccion-del-precio-del-Bitcoin Analisis-de-la-direccion-del-precio-del-Bitcoin Public

    Aplicación de modelos estadísticos al movimiento diario del Bitcoin con Python via Jupyter notebook.

    Jupyter Notebook 1