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
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.
A fully-featured FRED Command Line Interface & Python API wrapper.
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.
Custom Function (Google Sheets) to Import FRED® Economical Data
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.
DEM assignment.
CLI tool to interface with the FRED (Federal Reserve Economic Data) API.
In this project, I carry out a case study of factors impacting US Home Price and build a data science model.
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.
Machine learning driven algorithmic trading ideas through Tradier API
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/
Financial Data Analysis with FRED API - USA Federal Reserve Economic Data
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 …
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