Tejapi Data Analysis

Backtesting and stock-picking strategy with machine learning Highlights Preface To put it simply, random forest is one of algorithms made up of many decision trees with the adoption of bagging and random sampling. Since it’s based on CART algorithm, it can handle both classification and continuous data. Other advantages such as its comparability with high […]

Use Python Django to create a website Highlights Preface Django is a Python-based application framework of web. Since it has advantages such as fixed framework and abundant libraries, users can develop a website in a more straightforward and efficient way. In this series, we’ll cover the topics including the setting of Django, framework introduction, connection […]

Use radar chart to present company’s performance Highlights Preface Dashboard is a simple page that coveys valuable information with proper visualization and informative chart. The users can quickly identify a certain trend or make some inferences. Therefore, a well-designed dashboard not only requires simple and clean user interface, but also has to reveal the most […]

Use algorithm to learn the investment factors and predict returns. Highlights Preface We talked about how to create new enviornment and install XGBoost last time. If you haven’t read it yet, please click this link. In this article we will make some preprocessing on data. Then train the model to predict the stock returns and try […]

Use algorithm to learn the investment factors and predict returns. Highlights Preface Recently, a lot of algorithms have emerged, and various mathematical models have been developed to solve problems. The classic model is “regression”. With the advancement of technology, algorithms now been developed which can improve and learn by themselves (Machine Learning). Nowaday has developed […]

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 […]

– 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- […]