The source code here at fecon236 is designed to be more
explicit than casual usage, so if you have experience in
setting up a nice documentation framework, please
kindly volunteer.
The current "docs" need a complete redo, one that starts from fresh eyes.
Nobody peeks at the source code unless t
This repository consists several bots encoding various algorithmic trading strategies. The aim here is for absolute beginners in stock trading to get familiar with the various aspects of the market. All you need is basics of statistics and python to understand the underlying metrics and conditions utilized to make decisions. Contributions welcome.
This repository will be used to organize all the codes and notes written on the Empirical asset pricing course given at the school of economics at FGV-SP on 2020 by prof. Marcelo Fernandes.
In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.
This code was written for my Linear Algebra capstone project. I analyze the performance of ARK Invest, an investment firm specializing in actively managed Exchange Traded Funds (ETFs). My analysis is motivated by the broader debate over whether active investors can generate superior returns to passive funds.
So far we have relied largely on demonstrative notebooks
at https://github.com/rsvp/fecon235
The source code here at fecon236 is designed to be more
explicit than casual usage, so if you have experience in
setting up a nice documentation framework, please
kindly volunteer.
The current "docs" need a complete redo, one that starts from fresh eyes.
Nobody peeks at the source code unless t