Popular GitHub Repositories for Economic Indicators

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Tensorflow's Fairness Evaluation and Visualization Toolkit

A framework for autonomous economic agent (AEA) development

?? EA31337 framework (MQL library for writing trading Expert Advisors, indicators and scripts)

Extract indicators of compromise from text, including "escaped" ones.

OHLC,news,economic event restfull api and WebSocket API for specifically designed for AI quantitative trading/training.Multiple Timeframes,Multiple-Symbols-Multiple-Timeframes

Machine learning Options Trading Algorithm. API calls to collect the data from Yahoo Finance, Sentiment Investor, Finta. Encoding financial indicators. Building Logistic regression and Multinomial Machine Lerning models for evaluation. P2.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A multi-agent framework that leverages LLMs to simulate socio-economic systems

LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.

A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.

Open source framework for using LLMs to forecast political, economic, and social events.

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

LSTM neural networks for nowcasting economic data.

A high-performance, open-source Python charting library for visualizing financial data with technical indicators. Built with FastAPI, uPlot, and modern web technologies.

This repo contains documentation for public Fetch.ai products.

Korean NLP Python Library for Economic Analysis

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

MCP server for accessing FRED (Federal Reserve Economic Data) API