ZhiZhi Gewu

Sign in Subscribe

Latest

Predicting House Price in Hong Kong #6

It has been a while since I made the last git commit in the project repository. Although I am a bit busy with my daytime job recently, I will keep the side project rolling. This blog post is about my recent reflection on the project direction. There are two goals

IBond 2020: Should You Subscribe?

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

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: 1. For people who don’t see the benefits of investing * I think investing is risky. * I think saving my money in the bank

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

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

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

Predicting House Price in Hong Kong #4

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,