Tejapi Quant

Use python and TEJ database to execute event study Preface Seasoned equity offerings is a common financing option for listed firms, and the purpose of it includes expansion of capital expenditures, retirement of debts and improvement of financial structure. However, previous literature has implied that this borrowing behavior tends to send negative signals to the market, […]

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 […]

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 […]

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 […]