Insights

Using the document to have a deep understanding of TEJ Rest API. Preface TEJ has official packages which are specialized for R, Python users to make data collection more convenient. (Python API document) TEJ also cares about the programmers of other language users(C, C#, Java), so we have developed Rest API to extract data from […]

Using the document to have a deeper understanding of TEJ API. After previous financial data applications we have introduced to you, we have received some messages about how to use the API properly. Therefore, to make users use our TEJ API more comfortably, we will spend one to two weeks to make a clear description of […]

Preface Machine learning(ML), deep learning(DL), and artificial intelligence have been widely used by industries recently. Applications such as image recognition and voice recognition are common in our life. However, wall street, the world center of finance has already recruited many statistics, mathematics even physics experts as algorithmic engineers and quantitative traders to exploit trading strategies. There had […]

Most investors mainly do their investment from the technical analysis, the fundamental analysis and the chip analysis. The technical analysis will use a lot of historical data among these 3 methods. Therefore, we are going to use Python to share some technical analysis indicators which investors used frequently this week. Highlights of this article Links related to this article […]

Building the financial dashboard through python. ( the top 5 buy list of the foreign & other investors, and combine the trading volume of foreign investors with the stock price.) Preface We have introduced some functions of the most-used python packages such as matplotlib, numpy, and pandas in previous articles. In this episode, we will further […]

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 […]

Using Python to fulfill the investing strategy of Benjamin Graham meanwhile backtesting it in the Taiwan stock market. Preface — who is Benjamin Graham? We will introduce the defensive investing strategy which was created by Benjamin Graham — master of value investing. Benjamin Graham is the recognized pioneer of securities analysis. His first private fund […]

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 […]