[ES] & [EN]

This repository contains a script we used in a educational class (screener_csv.py) and the screener.py itself.

The screener_csv.py has some functions which are not essential/efficient (storing data, os functions, etc.) but comes from a learning environment.

For screening and further usage go to screener.py which is computationally more efficient.

Although it uses stocks, it works for crypto, currencies, etc just by changing data source or adding specific functions. As said, is the skeleton.

[ES] Screener técnico.

Video de ayuda en youtube: https://www.youtube.com/watch?v=Dr51rhwa2TY

El proyecto tiene la intención de ser una iniciación al screener esencial técnico. Viene derivado de una clase (propósito educacional).

El ejemplo usado es adaptado al mercado de Argentina. Aunque escalable a distintos mercados (USA - EUROPA - Crypto - Forex, etc). Tanto por la propia librería investpy, como manteniendo las funciones y utilizando otras librerías.

Las librerías principales utilizadas serán:

TA - Para análisis técnico : https://technical-analysis-library-in-python.readthedocs.io/en/latest/index.html

PANDAS - Para el procesado esencial de datos: https://pandas.pydata.org/

INVESTPY - Para el acceso a datos de mercado : https://pypi.org/project/investpy/

Espero que te sirva, te ahorre tiempo en tu análisis y complemente tu visión de mercado. A medida que tenga tiempo iré complementando con algún recurso más.

¡Un saludo!

[EN]

Technical Screener.

Help video on youtube: https://www.youtube.com/watch?v=ewr_2nkHsxo

The project is intended to be an introduction to the essential technical screener. The project is coming from a lesson, therefore has educational purpose.

In this case adapted to the Argentina market. Although scalable to different markets (US - EUROPE - Crypto - FX, etc) Using the same library or others and keeping the main functions.

The main libraries used will be:

TA - For technical analysis: https://technical-analysis-library-in-python.readthedocs.io/en/latest/index.html

PANDAS - For essential data processing: https://pandas.pydata.org/

INVESTPY - For access to market data: https://pypi.org/project/investpy/

I hope it helps you, saves you time in your analysis and complements your market vision. As soon I have time I will supplement with some more resources.

All the best!