iron0012 / dash-goldman-sachs-report-demo
View this app live at:
☆11Updated 2 years ago
Alternatives and similar repositories for dash-goldman-sachs-report-demo:
Users that are interested in dash-goldman-sachs-report-demo are comparing it to the libraries listed below
- Stock prediction using xgboost and knn classification done in R☆29Updated 6 years ago
- Web GUI for backtesting pair trading statistical arbitrage portfolio strategies☆26Updated 8 years ago
- Stock returns dashboard in React and Flask using data from IEX☆37Updated 2 years ago
- iexcloud api wrapper☆16Updated 4 years ago
- Python interface to Bloomberg COM APIs☆53Updated 10 years ago
- Monthly net new cash flow into various mutual fund investment classes (equities, bonds etc).☆32Updated 2 weeks ago
- This is a read-only mirror of the CRAN R package repository. PerformanceAnalytics — Econometric Tools for Performance and Risk Analysis…☆16Updated 2 months ago
- ☆36Updated 6 years ago
- Financial modeling with Python and Pandas☆60Updated 3 years ago
- Retrieving historical financial stocks data from MorningStar☆28Updated 9 years ago
- Python tools to quantitatively manage financial risk☆65Updated 5 years ago
- A python wrapper for the Financial Model Prep API for analysis of public companies☆49Updated 3 years ago
- R presentation files (knitr, shiny, etc.)☆12Updated 3 months ago
- ☆17Updated 3 years ago
- Open Business Analytics and Data Science Research☆14Updated 3 years ago
- ☆33Updated 3 years ago
- using the Inverse-Transform method to speed up options pricing simulations in R☆27Updated 5 years ago
- Modeling the volatility of commodity futures Indices☆14Updated 7 years ago
- Repository for teachings on Quant Finance☆49Updated 5 years ago
- Python Monthly Returns Heatmap (DEPRECATED! Use QuantStats instead)☆27Updated 5 years ago
- Financial modeling in R☆24Updated 4 years ago
- Project includes scripts to set up a securities master database with stock and ETF timeseries data☆10Updated 8 years ago
- ☆49Updated 9 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Python module(s) to get stock data, options data and news.☆78Updated 6 years ago
- Extracting sentiment from financial statements using neural networks☆20Updated 6 years ago
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆33Updated 3 years ago
- A Shiny app to work with future contracts data☆23Updated 7 years ago
- Clean financial with adjusted closes and dividends in fast data formats (`cPickle` and `HDF5`)☆20Updated 10 years ago
- Development space for PhD in Finance☆33Updated 4 years ago