Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
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Updated
Jul 7, 2023 - Python
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Pull data from Federal Reserve Economic Data (FRED) directly into Julia
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Python code for pricing European and American options with examples for individual stock, index, and FX options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.
💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.
This Python script provides two main functionalities: stock and economic indicators analysis. It utilizes the Yahoo Finance to fetch historical stock price data for multiple tickers and the fredapi library to fetch economic indicator data from the FRED API.
A fully-featured FRED Command Line Interface & Python API wrapper.
CLI tool to interface with the FRED (Federal Reserve Economic Data) API.
This Python code for interact with the Federal Reserve Economic Data (FRED) API to fetch, save, and manage economic data categories
Files to access economic indicators, nowcasts, and recession dates from FRED
Financial Data Analysis with FRED API - USA Federal Reserve Economic Data
OpenAPI Specification (YAML and JSON) for the Federal Reserve Economic Data (FRED) API
This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.
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