Bachelor of Applied Mathematics – Investment Science,
The Hong Kong Polytechnic University (QS: 50-100)
Foundation of Google Analytics
Google Digital Garage [ JTK JH3 SKN ]
BMC Bloomberg Market Concepts [ 158988087112 ]
STEM Teacher - 06-07/2018 SALEM-Immanuel Lutheran College
Digital Marketing Assistant - 11/2018 to 02/2019 HKPolyU
HTML5, CSS3, JavaScript, Note.js, MySQL, Postgresql, MongoDB, Redis
Python, PyTorch, Tensorflow, Keras, Microsoft VBA, Power BI, Tableau
Google Data Studio, Google Analytics, SEO, SEM,
Project Management
There are more than 120 stocks included in the stock list. The calculation includes their slope, volatility rate and golden ratio, to name but a few. In the process, they are managed to ranked in an ascending order.
The technical part is to visualization the result based on the individual stock, unlike a time-series as usual. Tableau, Google Data Studio and Power BI are the suitable analyzing tools for that by catigorizing the stage on the list of stocks.
For the data-mining purpose, I simulate the stock prices by using Geometric Brownian Motion.
After testing its correlation in prices, I apply K-means, forecasting method and CAPM to contruct my portfolio.
Recent ProjectSoftware : Excel and R-studio
Indicators : Stock Code, Asset Type, Current Price, Golden Ratio [ 0.382, 0.5, 0.618, 0.8 ], Volatility, Slope,
Accounting Finance, Profit Performance and Institution Participation.
Recent ProjectSoftware : Excel and VBA
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