Stock Price Prediction with K-nearest Neighbors (KNN) and Random Forest
This project focus on the price action and aims to predict stock price on the next day whether it is up or down, utilizing KNN, random forest, and ...
I graduated with a Bachelor of Science in Physics from the Hong Kong University of Science and Technology.
I entered the Economic Digest as a project executive after my graduation.
I had self-leant and completed several data science professional certificates. Some projects are highlighted in the following. Hope you enjoy!
This project focus on the price action and aims to predict stock price on the next day whether it is up or down, utilizing KNN, random forest, and ...
Rating prediction is important for movie recommendation system on item specific recommendation. Different factors including movie effects, user effect...
This project aims to classify european money denominations. The neutral network is built on pytorch and Convolutional Neural Network (CNN) is used....
This project predicts the complaint that a more likely to be happened on the residential flat though numbers of selected features, including numbers of floors...
Building a stock and etf database with postgreSQL and Timescale DB. Gathering data from Alpaca API...
Building a financial dashboard using streamlit and redis. Gathering data from IEX Cloud...
This project investing strategy that selects the 50 stocks with the best value metrics, including Price-to-earnings ratio...
This project aims to bulit a crypto trading bot. The strategy used is the supertrend indicators. The bot is connected to ...
Should you need more information, feel free to reach me via email at victorwancf@gmail.com. Thank you.