TEJ API

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 […]

– Explaining the importance of data quality — Free data api versus TEJ API Highlights of this article Links related to this article Adjusted v.s non-adjusted stock price Using 0050 as an example: Assume that 0050 was priced at 30 dollars 10 years before, and the current price of 0050 is 120 dollars. Therefore, we […]

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- […]

– update your database automatically Continuing with the TEJ API data collecting/reading/saving instructions which we have learned in the previous episode, this episode focuses on the way to update your database automatically. It is consistent with the previous episode, so friends who have not read the previous episode, please go back and read the introduction […]

– how to grab data from TEJ API? What is TEJ API? Would you find it very difficult to find a high-quality and stable source of data before doing an analysis on it? Or is it time-consuming to maintain your own web-crawling program after spending a lot of time creating it? Now, TEJ (Taiwan Economic Journal) has […]