Python For Trading - Quantitative Models and Algorithmic Trading

After a long period completely disconnected, we return to writing some notes for you. On this occasion, we are going to program from scratch a complete research process, and instead of going for a specific asset, we are going to create a complete method, reusable in the future, to be able to run it

In this article, we explain how to get free market data for stocks, futures, options, forex, and more using OpenBB and Python.

In this second part of the Zipline tutorial, we will perform our first data analysis using bundles and build a basic strategy.

In algorithmic trading there are countless options for carrying out your analyses or backtests, but we are going to use the best quant stack to build a professional research and backtesting pipeline.

In the complex field of economics and monetary policy, it is essential to have the ability to analyze and understand trends and the effects of economic policies. In this context, Python, a versatile programming language, has become indispensable for economists and financial analysts.