Filters (kalman, hodrick-prescott, moving average) together with comparison and sensitivity analysis (in notebook filters_with_parameters)+var analysis and granger causality test. Test for random walk (CE currencies using yfinance API)

dual MA strategy. MA for moving average, May 2017

Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.

Exploring Weather Trends - Data Analyst Nanodegree with Udacity

Series de tiempo - Julio César Martínez Sánchez

Summer research June 2020- September 2020. This repository contains code for the model and machine learning for growth control.

In this project I have analyzed local and global temperature data and compare the temperature trends where I live (Amsterdam) to overall global temperature trends.

I AM NOT A DAYTRADER (i just did this to learn the code)