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This is the collection of research projects of Likelihood Tech 2018 Summer Program.

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About

Likelihood Lab 2018 Summer Program is a research program exploring exciting combinations of artificial intelligence and finance. Participants conduct independent researches on selected topics on Fintech or AI in july and august 2018.

Orgnizer and Participant

  • MingWen Liu, PhD of Sun Yat-sen University and CEO of ShiningMidas Private Fund, is the leader of the Lab.
  • XingYu Fu, co-founder of the lab, is responsible of the administration and orgnization of 2018 summer program.
  • Zheng Xie, JinYuan Yu, ZhiPeng Liang, KangKang Jiang, JunHao Zhu, Hao Chen, YanRan Li, JunBang Huo, YuLin Wu, JinGe Wu, XiaoYang Wu, JiaHui Wu participate the 2018 summer program.

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Research Project

AlphaRenju Zero

  • Xie Zheng; XingYu Fu; JinYuan Yu;
  • Apply AlphaZero algorithm in the game of Renju.
  • Home Page

Deep Reinforcement Learning in Portfolio Management

  • ZhiPeng Liang; KangKang Jiang; Hao Chen; JunHao Zhu; YanRan Li;

  • Train a Deep Reinforcement Learning agent in the financial market to conduct portfolio management.

  • Home Page

  • Comparison of Portfolio Values before and after Learning in American Stock Market:

  • Comparison of Portfolio Values before and after Learning in Chinese Stock Market:

  • Back Test on USA Stock Market:

Sentimental Analysis of Financial Market

  • JunFeng Jiang; JiaHao Li;
  • Apply NLP to analyze the sentiment of financial market.
  • Home Page

Stock Trend Analysis using HMM and LSTM

  • JunBang Huo; YuLin Wu; JinGe Wu;
  • Using Hidden Markov Model and Long Short Term Memory to analyze stock trend.
  • Home Page

Analysis of High Frequency Stock Data based on Machine Learning

  • XiaoYang Wu; Zheng Xie; JiaHui Wu; JinYuan Yu;
  • Apply Machine Learning techniques like LSTM, and XGBoost to predict tick-level financial trend.
  • Home Page

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This is the collection of research projects of Likelihood Tech 2018 Summer Program.

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