There are 3 repositories under fred-api topic.
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.
:tada: How to crawl the FRED big data in a rapid and methodical way
Easy-to-use client for accessing Federal Reserve Bank of St. Louis FRED® API
Custom Function (Google Sheets) to Import FRED® Economical 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.
Financial Data Analysis with FRED API - USA Federal Reserve Economic Data
This Python script is designed to interact with the Federal Reserve Economic Data (FRED) API to fetch, save, and manage economic data categories
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.
OpenAPI Specification (YAML and JSON) for the Federal Reserve Economic Data (FRED) API
Analysis of macroeconomic and CO2 emissions data from FRED and World Bank APIs using pandas data reader.
I prepared a modified version of the Taylor Rule to measure inflation at risk for the U.S. economy using R programming.
Simple script to compare the correlation on assets beetween S&P500 and FED Asset Balance.
Use a simple command line interface to easily download data from FRED® and save it to a MSSQL or MySQL database
We created an interactive web application in Python for determing the best states to live in based on user preferences. We sourced data from the FRED Economic Database with custom API wrappers and integrated it into a Python Dash Application framework. Users can filter states, data catageories and even apply weights to parameters for use in the final calculations.
DEM assignment.
FBProphet prediction for 2020 Future Unemployment rate by effect of COVID-19
Similar to https://github.com/kylebinder-public/daily_market_update: here are scripts (.py, .bat) for automated sending of weekly emails of economic statistics that interest me. ETL mostly from https://fred.stlouisfed.org/
Interfaces and utilities for FRED® API client
Model objects for FRED® API client
The project aims to analyze and visualize economic indicators, including the S&P 500 index and unemployment rates across U.S. states, using data retrieved from the FRED API.