Skip to content
View ValenDiazzz's full-sized avatar

Block or report ValenDiazzz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. MachineLearning MachineLearning Public

    This repository contains my machine learning projects developed during the ML course I took during my time at UNI.

    Jupyter Notebook

  2. PortfolioOptimizationWithCAPM PortfolioOptimizationWithCAPM Public

    In this proyect I developed a trading strategy to optimize portfolio returns with a linear programming model based on the CAPM. It was backtested using historical data and implemented on Python.

    Jupyter Notebook

  3. OptimizationOfStocksPortfolio OptimizationOfStocksPortfolio Public

    This project is based on the Mean-Variance model for optimization of a Stock Portfolio. It includes an analysis of the scheme, an implementation and its backtesting with Python.

    Jupyter Notebook

  4. BitcoinPricePredictionWithPDEs BitcoinPricePredictionWithPDEs Public

    The aim of this project is to forecast bitcoin price using a partial differential equation model. The project uses Google Trend Index, chainlets data and Crank-Nicolson method for solving the pde.

    Jupyter Notebook

  5. SQL-Spark SQL-Spark Public

    This repository contains data bases creation and SQL queries developed during the DB course I took during my time at UNI and the Coursera "SQL for Data Science Specialization" course.

    SQL

  6. ComparingModelsForEuropeanAndBarrierOptions ComparingModelsForEuropeanAndBarrierOptions Public

    The aim of this project is to compare different models for a European Call Option and a Call Barrier up-and-out Option.

    Jupyter Notebook