miketong08 / Machine_Learning_for_Trading_CS7646Links
Georgia Tech OMCS CS7646 Assignment files
☆15Updated 7 years ago
Alternatives and similar repositories for Machine_Learning_for_Trading_CS7646
Users that are interested in Machine_Learning_for_Trading_CS7646 are comparing it to the libraries listed below
Sorting:
- Assignments as part of CS 7646 at GeorgiaTech under Dr. Tucker Balch in Fall 2017☆61Updated 7 years ago
- ☆16Updated 7 years ago
- NYU Tandon lecture slides☆32Updated 6 months ago
- Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677☆66Updated 3 years ago
- Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method☆42Updated 4 years ago
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆33Updated 4 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆50Updated 5 years ago
- Solutions to machine learning HW from bloomberg ml course☆11Updated 6 years ago
- ☆20Updated 4 years ago
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆78Updated 3 years ago
- AlphaWaveData delivers APIs for financial data analysis.☆72Updated 4 years ago
- A public available dataset for using market sentiment for financial asset allocation.☆23Updated 6 years ago
- Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…☆27Updated 4 years ago
- ☆61Updated last year
- A project of realizing multiple numerical option pricing methods, including trees, Monte Carlo simulations, and finite difference methods…☆20Updated 7 years ago
- Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.☆22Updated 6 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆43Updated 5 years ago
- Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model☆52Updated 5 years ago
- ☆34Updated 5 years ago
- Project description: https://medium.com/p/recession-prediction-using-machine-learning-de6eee16ca94?source=email-2adc3d3cd2ed--writer.post…☆39Updated 10 months ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Updated 7 years ago
- Source code for Multicriteria Portfolio Construction with Python☆31Updated 4 years ago
- Corporate bond price prediction model☆15Updated 5 years ago
- Examples of causality maps for time series driven by GitHub actions☆15Updated 2 years ago
- Syllabus and exercises for "Data Science for Finance," a course taught in the Masters of Financial Engineering program at UC Berkeley's H…☆24Updated 8 years ago
- Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.☆56Updated 2 years ago
- Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Diff…☆144Updated 3 years ago
- Collection of algorithm implementations from various sources plus own creations.☆180Updated 4 years ago
- My solutions for the “C++ Programming for Financial Engineering” Online Certificate. It is a joint project by the Baruch MFE program, Dr.…☆45Updated 6 years ago
- Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics an…☆96Updated 4 years ago