Love to learn new knowledge and technology with high quality of self-learning skills.
Enjoy thinking deeply to a problem from different approaches and solved it by using my programming skills and analytical ability.
The LSTM neural network algorithm was used to model the daily open positions of the foreign investors. After backtesting and verification, it can effectively avoid the biggest drawdown risk of the market, and this project won the third place in the annual graduation project competition of CSIE Dept.
Establish a crawler system that can automatically schedule daily crawling of various financial information (including daily exposure of transaction information, economic news, individual stock news, corporate information, etc.), and the system is deployed on the cloud (GCP) server.
【Project Name】The Futures Trading Strategy Designed by LSTM Neural Network
Modeling a quantitative strategy with "foreign institution trading data of TXF" by using LSTM Algorithm to predict the possibility of the increasing ratio.
In this Hackthon, our team spent three days creating a prototype of a credit system platform for Accupass in order to help the organizers to identify the participants with bad attendance records. My job in this project was to build the back-end of the demo platform by using Django.