economic-forecasting

This project leverages LSTM networks, a type of RNN, to accurately predict fruit and vegetable prices by analyzing a comprehensive dataset, utilizing a refined model adept at navigating the complexities and patterns within agricultural market data.

An AI-powered forecasting system that predicts economic and market trends using multi-source financial, macroeconomic, and behavioral indicators.

Our Economic Forecasting Model leverages Genetic Algorithms and Random Forests to provide farmers, policymakers, and businesses with cutting-edge insights for informed, profitable decisions in the ever-changing world of agriculture.

Open-source quantitative macroeconomic forecasting engine and business cycle tracer built in Python.

This repository hosts a Jupyter Notebook designed for financial data analysis. It provides tools and examples for analyzing market trends, investment opportunities, or financial forecasts using Python.

An ML scenario engine tracing how economic shocks move through property markets, where pressure appears first, and what evidence should change the decision.

Forecasting projects for Econ 144 (Time Series Analysis & Forecasting) at UCLA, Spring 2023

This is the associated code as part of my Bridgewater/Global Citizen competition entry. This is the foci of my research, with this I hope to apply some process and mathematical modelling to reinforce the argument.

Estimates 12-month-ahead U.S. recession probability using a five-model ensemble across 37 Federal Reserve indicators. Generates automated weekly investment committee briefings with embedded charts via GitHub Actions and Claude API.

Dashboard interactivo de Ecuador: compara datos macroeconómicos observados (2014–2025) con siete ediciones de pronósticos del FMI (2019–Abr. 2026). Fuentes verificables, tabla auditable y descargas CSV/PNG.

Machine learning models for credit rating prediction and economic cycle forecasting using financial indicators and yield curve data.

Portfolio repository for business and economic forecasting in R, featuring time-series modeling, forecast evaluation, empirical analysis, and reproducible workflows.

Course repo Econ 475 Economic Forecasting at UIUC.

Multimodal deep learning for quarterly GDP prediction using Twitter activity and economic indicators.

This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.

MSc Dissertation: Machine Learning based UK Inflation Forecasting and Economic Crisis Simulation Tool using ARIMA, Random Forest, XGBoost and Streamlit.

Time Series Modeling in R: ARIMA & VAR Models

Independent U.S.-focused fork of Banca d'Italia's BeforeIT.jl with auditable calibrations and simulation tools.

End-to-end flexible pipeline used for analyzing Tanzanian financial news sentiment and its relationship with USD/TZS and inflation (2022–2024).

Sybilion is a decision layer for industrial companies, providing economic and causal forecasting that connects external market dynamics to internal exposure for procurement, trading and risk teams. It exposes forecasts, their drivers, and alerts via a REST API and a hosted MCP server.