mattbev / finpandas
[deprecated] U.S. public financial analysis tools using pandas.
☆13Updated 3 years ago
Alternatives and similar repositories for finpandas:
Users that are interested in finpandas are comparing it to the libraries listed below
- Random Forest-based "Correlation" measures☆15Updated 2 years ago
- This is a sentiment trading strategy, written in Python, and applying NLP on 10-K's from the SEC EDGAR database.☆10Updated 3 years ago
- Tutor step-by-step on how to analyze stock data using the R language.☆17Updated last year
- 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…☆28Updated this week
- ☆10Updated 5 years ago
- Development space for PhD in Finance☆33Updated 4 years ago
- Applying NLP framework to 10-K filings in equity markets☆14Updated 3 years ago
- Filters stocks using Magic Formula, F-score and 6-month index which enables users to find the most undervalued stocks based on financial…☆15Updated 3 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 2 years ago
- ☆18Updated 3 years ago
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆32Updated 3 years ago
- Simple portfolio analysis and management.☆28Updated 3 years ago
- Stochastic volatility models☆18Updated 6 years ago
- Collecting news articles for all the companies in the R1000, for a pre-defined set of news outlets, using Diffbot's Knowledge Graph☆11Updated 2 years ago
- Value and Momentum Using Machine Learning☆11Updated 4 years ago
- This contains notebooks and scripts used to support my writing in WILMOTT Magazine.☆16Updated 10 months ago
- ☆13Updated last year
- analyze financial data using python: numpy, pandas, etc.☆21Updated 7 years ago
- A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)☆7Updated 3 years ago
- Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…☆62Updated 7 months ago
- A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and…☆24Updated 4 years ago
- Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.☆27Updated last year
- Regime Based Asset Allocation with MPT, Random Forest and Bayesian Inference☆25Updated 2 years ago
- Implementation with a Jupyter Notebook of the VIX index modelization provided in its CBOE white paper.☆21Updated 5 years ago
- ☆29Updated last year
- ☆20Updated 5 years ago
- Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject☆13Updated 6 years ago
- Notebooks based on financial machine learning.☆15Updated 2 years ago
- Collection of business analytics case studies that leverage data science methods to create business value (R and Python)☆12Updated 5 years ago
- Market Data & Derivatives Pricing Tutorial based on Jupyter notebooks☆39Updated 4 years ago