With the exponential growth of quantitative trading in the worldwide financial industry, various forecasting algorithms, trading algorithms, factors, technical indicators, etc. are constantly being proposed. Quantum finance and its underlying technologies, including quantum field theory and quantum anharmonic oscillatory theory, provide a new research direction for traditional quantitative transactions. There are many factors that can be applied as modeling objects in the financial market. How to effectively use quantum theory to model the financial market and obtain considerable benefits through quantitative transactions has become one of the hottest topics in the financial world. A large number of researches show that although many quantum financial models have been proposed and can be explained by the concept of finance well, the actual profitability of these quantum financial model is not satisfactory, which is contrary to the original intention of our research. This study intends to take the global financial market as the research object, combined with quantum theory, fuzzy logic, chaos theory, deep learning and reinforcement learning, model the global financial market in quantum theory, and use algorithms to predict and trade the financial market. This research reveals the properties of quantum mechanics in the financial market, and tries to find traceable laws to make profits in the complex financial market movement, which lays a solid foundation for Quantum Finance from theory to practice.