manuel-tellechea Goto Github PK

100_days_of_code

The Complete Python Pro Bootcamp for 2021

big-mac-data

Data and methodology for the Big Mac index

candlestick-patterns

Candlestick patterns detector

candlestick-trading-analysis-strategy

Candlestick Trading, Analysis & Strategy

coronavirus

Información sobre el Coronavirus en España y Madrid (https://covid19.isciii.es)

financial-data-and-models-using-r

Based in the Clifford S. Ang Book - Analyzing Financial Data and Implementing Financial Models Using R

financial_trading_with_python

Are you fascinated by the financial markets and interested in financial trading? This course will help you to understand why people trade, what the different trading styles are, and how to use Python to implement and test your trading strategies. Start your trading adventure with an introduction to technical analysis, indicators, and signals. You'll learn to build trading strategies by working with real-world financial data such as stocks, foreign exchange, and cryptocurrencies. By the end of this course, you'll be able to implement custom trading strategies in Python, backtest them, and evaluate their performance.

machine-learning-and-ai-in-trading

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

pentaho-udemy

Pentaho for ETL & Data Integration Masterclass 2021- PDI 9.0

poo_platzi_course

python-exercices

python-for-finance-cookbook

python-for-finance-oreilly

quanttradingresearch

Different quantitative trading models research

r

Repository to exercise with financial data using R

stock-screener

techindicators

Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.