Hi, I am Philip.
I am a strong self-motivating active learner, always full of curiosity about many things, and cross-domain integration is one of my proudest strengths.
Financial Technology is my current research field, mainly focus on numerical analytics and deep learning applications.
Since I believe that we wouldn't be able to live without Digital Finance, I hope I could contribute to the innovation of FinTech in my future career.
Research Topic: Improving the Trading Strategy via Reinforcement Learning
Assist in the development of financial engineering algorithms related to machine learning and deep learning.
Assist in analysis of the real estate data and help to implement the machine learning methods for further research topics.
Research on deep learning applied to trading algorithms, and also use text mining skills to analyze social media discussions, forex news and financial reports.
All project source codes can be found in my GITHUB
MOST research project: Improving Foreign Exchange Trading Strategies via Reinforcement LearningResult
Inspired from CTBC forex trading team. The website provides "Candlestick Pattern Matching" and "Sentiment Analyze" service for forex trading.Paper
Predict Forex Trend via Convolutional Neural Network
Yun-Cheng Tsai, Jun-Hao Chen & Jun-Jie Wang
Journal of Intelligent Systems, 10.1515/jisys-2018-0074
The application of big data on house prices in Japan: Web data mining and machine learning
Ti-Ching Peng*, Chun-Chieh Wang
Annual International Conference on Recent Advances in Business, Economics, Social Sciences and Humanities (RBESH), Tokyo, 2018/10
An Efficiency Comparison on Chinese Typewriting between Zhuyin Pinyin and Hanyu Pinyin
International Conference of Innovation and Design (ICID) 2013
Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks
Yun-Cheng Tsai, Jun-Hao Chen & Chun-Chieh Wang
ArXiv Preprint, January 2019
Deep Reinforcement Learning for Foreign Exchange Trading
Chun-Chieh Wang & Yun-Cheng Tsai