There are 3 repositories under fred-api topic.
Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)
Jupyter notebooks for analysis of US federal debt, tax revenues, GDP, 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, stock market. Using APIs from FRED and Yahoo-Finance.
Pull data from Federal Reserve Economic Data (FRED) directly into Julia
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
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.
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.
:tada: How to crawl the FRED big data in a rapid and methodical way
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.
This Python code for interact with the Federal Reserve Economic Data (FRED) API to fetch, save, and manage economic data categories
Financial Data Analysis with FRED API - USA Federal Reserve Economic Data
Easy-to-use client for accessing Federal Reserve Bank of St. Louis FRED® API
OpenAPI Specification (YAML and JSON) for the Federal Reserve Economic Data (FRED) API
Professional stock market analyzer using LLM
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.
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.
Interfaces and utilities for FRED® API client
A real-time economic data visualization platform that helps track and analyze key economic indicators through interactive charts, custom datasets, and FRED API integration.
Analysis of macroeconomic and CO2 emissions data from FRED and World Bank APIs using pandas data reader.
DEM assignment.
I prepared a modified version of the Taylor Rule to measure inflation at risk for the U.S. economy using R programming.
Use a simple command line interface to easily download data from FRED® and save it to a MSSQL or MySQL database
Dynamic Chart Dashboard with React 19 & Vite for customizable charts via the FRED API using Redux, React Query & Material UI.
This repository contains the R code to programmatically download US macro data from the FRED database.
Economic Data Analysis Project with Python Pandas
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.
This is an End to End MLOps Integrated implementation of my previous app Home Price Index Predictor.
In this project, I carry out a case study of factors impacting US Home Price and build a data science model.