Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)

An R client for the Federal Reserve Economic Data (FRED) API

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

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 fully-featured FRED Command Line Interface & Python API wrapper.

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.

CLI tool to interface with the FRED (Federal Reserve Economic Data) API.

🎉 How to crawl the FRED big data in a rapid and methodical way

Custom Function (Google Sheets) to Import FRED® Economical Data

Easy-to-use client for accessing Federal Reserve Bank of St. Louis FRED® API

Download FRED data in Julia.

This Python code for interact with the Federal Reserve Economic Data (FRED) API to fetch, save, and manage economic data categories

Professional stock market analyzer using LLM

A Discord bot that integrates real-time economic calendar tracking with stock chart analysis. Get instant alerts for market-moving events, Finviz stock charts, and Federal Reserve (FRED) economic data - all within your Discord server.

Files to access economic indicators, nowcasts, and recession dates from FRED

Financial Data Analysis with FRED API - USA Federal Reserve Economic Data

This project utilizes the Federal Reserve Economic Data (FRED) API and Python's Pandas library to gather, clean, and analyze economic data. The project walks through the process of pulling down data for various economic indicators, cleaning and joining the data, and using the FRED API to obtain up-to-date data.

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.