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1. bessie_foodie_shop bessie_foodie_shop Public

   The goal of this project is to build a fully functional e-commerce website platform using a monolithic architecture design, implementing functions including address management, order processing and…

   JavaScript 1

2. Reinforcement-Learning-and-Desicion-Making Reinforcement-Learning-and-Desicion-Making Public

   This project contains three experiments on reinforcement learning. For instance, it demonstrates how to apply the DQN to the Lunar Lander environment and how DDQN can obtain better performance.

   Python 1

3. Algorithmic-Portfolio-Management-in-R-programming-language Algorithmic-Portfolio-Management-in-R-programming-language Public

   The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The cour…

   R 12 3

4. Competition-from-International-Association-of-Quantitative-Finance Competition-from-International-Association-of-Quantitative-Finance Public

   Our team won the competition hold by IAQF in 2018. We submitted a solution titled, Implementing Momentum Strategy with Options: Dynamic Scaling and Optimization.

   MATLAB 3 1

5. Mechine-Learning-Projects-for-Personal-Interest Mechine-Learning-Projects-for-Personal-Interest Public

   Projects just for fun, eg. Apply Lasso Technique to Forecast Stock Movement, Apply Random Forest Technique to Forecast Stock Movement

   Python 2 1

6. Academic-Project-on-Options-Pricing-based-on-object-oriented-programming-in-Cpp Academic-Project-on-Options-Pricing-based-on-object-oriented-programming-in-Cpp Public

   Calculated the implied volatility under dynamic price of options based on Newton-Raphson method, utilized Monte Carlo techniques for path-dependent derivative securities pricing

   C++