Explore live open-source projects and AI models.

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series... Read more

A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations... Read more

A netcat/ncat like tool that bonds multiple sockets together.

PTrade is a full‑featured quantitative trading platform for developing, backtesting and executing strategies across stocks, convertible bonds, futures, ETFs, and options. This project provides API wrappers and documentation to help developers access PTrade efficiently. For local prototyping or of... Read more

Go library containing a collection of financial functions for time value of money (annuities), cash flow, interest rate conversions, bonds and depreciation calculations.

A modern personal relationship manager — Go + React rewrite of Monica CRM

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Trading Economics Python Jupyter Notebooks showcase how everyone can make insights and data science. Trading Economics has more than 20 million indicators from 196 countries plus historical, delayed and live quotes for exchange rates, stocks, indexes, bonds and commodity prices