Quant Finance Analysis

This is a simple stock tutorial for beginners and everyone to learn in python or R. It will shows you step by step and it will explain each code of lines. However, I would recommend to know the basic of python before starting this tutorial. You can still start this simple tutorial and it will guide you step by step toward becoming finance analysis in python.

If you are into the stock market, trading, investing, finance, or programming, this is good tutorial for you to learn. There are 2 different types of language you can learn: Python or R. This tutorial will teach you how to analysis the stock data and how to use the stock data. However, if you are new or already know python or R, this will help you or expand your knowledge in the stock market and coding. In addition, this tutorial is similar to data science. This is beginning tutorial for stock analysis based on data analysis. It is very simple stock analysis and tutorial. On the other hand, it will not make you the best quant, trader, or make you rich. Therefore, the tutorial will teach you how to analyze the stock data and how to use the stock data. You will understand the stock data more.

In the GitHub, the files start from 1 through 26 in python. You start from number 1 and when you understand, you go to the next one. If you do not understand the comments for each codes, you can retype the codes and you will get better understanding. On the other hand, if you just copy and paste the codes, you will not be learning. You will be learning and understanding the codes, if you retype the codes.

Number 1 – 4 is the basic for stock analysis. You need to get the stock historical data and know how to manipulate the data and date. After that, you will need to know how to plot charts and you need to know list of technical analysis libraries.

Number 5 – 6 is how to use csv file such as load csv file to python and saving to csv file. Also, you will know to use stock tables and customize the tables.

Number 7 – 12 is how to scrape stock data such as historical data, news, and statements. In addition, you will learn how to manipulate multi index. On the other hand, you will learn about fundamental analysis and analyze stock statistics.

Number 13 – 14 is how to create scripts and classes for stock.

Number 15 is the final stage of learning the basic stock analysis. After that, it will be more advances.

Number 16 – 21 is how to create stock indicators, pivot point, trend lines, and signals for stock investment or trading.

Number 22 – 24 is how to create back testing using stock indicator or other trading strategy. Also, you will learning about time series for stock and Kelly criterion for reducing risk. Kelly is about how the much bet when the odds is in your favor.

Number 25 – 26 is the last tutorial to learn and since the stock market and technology had evolve, you will be learning about machine learning and deep learning in this section. You will learn how to create stock prediction in machine learning using sklearn and deep learning in tensorflow.

Here the tutorial in python:
https://github.com/LastAncientOne/SimpleStockAnalysisPython

Here the tutorial in R:
https://github.com/LastAncientOne/SimpleStockAnalysisR

I hope you enjoy reading and enjoy the tutorial. Have fun learning!!!