In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

This is a Gomoku AI based on curriculum learning and AlphaGo methods.

Many machine learning techniques such as deep learning models need tons of data to train but in reality the financial data are limited and then restrain the power of models.

Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing.

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory.