Agewerc / ML-Finance
A project for financial risk classification of more than 500 companies. We forecast the ratings given by agencies such as Moody's and Standard and Poors.
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ML-Finance
- Applying NLP framework to 10-K filings in equity markets☆13Updated 3 years ago
- This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.☆9Updated 2 years ago
- Portfolio optimization with cvxopt☆15Updated last year
- FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability☆15Updated 2 weeks ago
- Classification of reserve risk with chain-ladder☆11Updated 5 years ago
- ☆14Updated this week
- Export 15 years P&L and BS data from moneycontrol. Correlation analysis of various heads. Mean & Std. Graphs of YoY changes and projectin…☆25Updated 4 years ago
- Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on struct…☆37Updated 5 months ago
- Solutions to machine learning HW from bloomberg ml course☆12Updated 5 years ago
- Building an option trading dashboard with Python☆0Updated 3 years ago
- ☆10Updated 4 years ago
- Portfolio Management for Everyone☆12Updated 10 months ago
- ☆14Updated last year
- MV Port is a Python package to perform Mean-Variance Analysis. It provides a Portfolio class with a variety of methods to help on your po…☆11Updated this week
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Updated 6 years ago
- Financial Models using vba script and Python☆24Updated 3 years ago
- ☆15Updated this week
- openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or…☆27Updated this week
- An Excel integration of OpenGamma Strata.☆13Updated 3 years ago
- ☆12Updated 5 years ago
- Modelling Maximum Drawdown with Python☆10Updated 4 years ago
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆33Updated 3 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆67Updated 3 years ago
- Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling☆17Updated 5 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆39Updated 4 years ago
- Corporate Credit Rating Prediction with AWS SageMaker JumpStart☆21Updated last year
- Predicting option prices using Black-Scholes model and deep learning networks☆9Updated 4 years ago
- Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.☆21Updated 5 years ago
- Random Forest-based "Correlation" measures☆15Updated 2 years ago
- This contains notebooks and scripts used to support my writing in WILMOTT Magazine.☆16Updated 6 months ago