python

Chip analysis and backtesting using TEJ API trial database Preface Generally speaking, big players such as institutional investors, insiders or other investors holding large amounts of shares have information advantages over retail investors. Thus, they are more likely to select stocks with potential growth and distance themselves from risky stocks. To decrease this kind of […]

Sending the important data information to your phone through Line Notify After building our own database through TEJ API and understanding how to use Window Task Scheduler to update the database regularly a few weeks ago. Today we are going to teach you how to make it more convenient. That is through the Line Notify to automatically […]

A plot is better than countless words After two weeks of some complicated articles, let’s take a break and turn to our previous topic “Data Analysis” and introduce another important tool when working on the data analysis- data visualization! If you forget what we have done few weeks ago, you can go back, review on them and come […]

Through the previous 2 articles of “Data Analysis” , we have shared with you how to use Numpy and Pandas to start the first step of data analysis and the importance of using the adjusted stock price if you want to calculate the return. Therefore, this time we are going to use those tools to do […]

Using NumPy and Pandas to start your first step of data analysis After reading our previous articles, you might have already known how to get the data from TEJ API, store it into your computer, and update automatically! Then we are going to tell you how to analyze this data by using these two important packages- […]