By TL;DR YES. You can earn HKD 400-800 per issue on the first-day risk-free. However, you cannot earn big money since at most, you can subscribe for 3 lots due to the allocation strategy. Basic Bond Information According to the press release on 5 October 2020, the Hong Kong Government will issue a new bond. (The …
To Generation Z: Why You Should Invest?
Date: 6/09/2020 To my surprise, many of my friends are not motivated to invest their money. I tried to summarize the school of thoughts: For people who don’t see the benefits of investing I think investing is risky. I think saving my money in the bank is fine. I don’t want to be rich. For …
Margin Buying Basics You Should Know
The conventional opinion said margin buying is dangerous. You may get a margin call or be forced to liquidate your stocks. It might be true or false. But to analyze the risk involved, we need to first understand what is margin buying. What is margin buying? Margin buying is to use other people’s money to …
Intel Became My Lastest Holding after TSM
Date: 10/08/2020 How Intel Comes to My Radar? Following the news of TSM, the largest holding in my portfolio, I saw several articles on Intel announces delay in its 7nm CPUs, and AMD CPUs outperform Intel ones benefiting from the use of TSM’s most advance process node technology (5nm). After the announcement, Intel stock price …
Predicting House Price in Hong Kong #5
in #4, I talked about how to find the hidden APIs of Centaline Android App. In this article, I am going to show you how to write a scraper to scrape the data. You can find the Scrapy Crawler in this Git directory. 3 Levels of Data The scraping was done in 3 levels. First, …
Predicting House Price in Hong Kong #4
Date: 26 July 2020 In #3, I faced difficulty in having a lot of missing values in the property transaction data. After searching the web, I found that Centaline claimed they have spent 10 million HKD to fill the missing values. Maybe, I should try scraping data from Centaline. Luckily, I have scrapped Centaline data …
Predicting House Price in Hong Kong #3
By Date: 13 July 2020 In part 2, we have talked about splitting data into a training set and testing set. In part 3, I would like to share some findings on the first data exploration. Big Problem: Missing Data I did not expect there are so many missing data in some of the key fields. I …
Scraping Yahoo Finance Data into Google Sheet
Sample Google Sheet: https://docs.google.com/spreadsheets/d/1pu1VmBKFvtdJPb78eYNooHaVAucff8_9blQPUUWoW2k/edit?usp=sharing Very often, data on websites is in presentation format instead of a nicely formatted table. This makes analysis difficult. Therefore, the first step of doing any real-world data analysis is to gather data in a nice format (usually table). If you don’t know any programming, the task will be difficult. But, …
Predicting House Price in Hong Kong #2
In part 1, we have talked about scraping transactional data of apartments. In part 2, let’s talk about splitting data into a training set and testing set. Why we need to split? The short answer is we want to prevent overfitting/memorizing and hope that the model trained can generalize into unknown cases. For example, if …
Reading Math Symbols
Date : 7 July 2020 Sometimes, it is quite scary to read Maths. Just like learning a new language, we need to understand the symbols/ vocabulary first. In this post, I am going to talk about some common maths symbols. The following content is extracted from my YouTube video. Logic Symbols Conditional and Bi-conditional Connectives …
