Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

The world's first Autonomous Product Engine (APE): AI agents research your market, generate features, and ship code as PRs. Convoy mode, crash recovery, cost tracking, 80+ API endpoints. Self-hosted via OpenClaw Gateway.

Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.

🤖 Advanced AI-powered trading system for Kalshi prediction markets. Features Grok-4 integration, multi-agent decision making, portfolio optimization, and real-time market analysis. Educational/research purposes only.

Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

Agent skill for fast, cheap market research using LLM synthetic surveys + Semantic Similarity Rating (SSR). No API keys needed.

CryptoAgents is a sophisticated multi-agent LLM framework specifically designed for cryptocurrency trading. It leverages specialized AI agents working as a coordinated trading desk to analyze crypto markets, conduct research debates, execute trades, and manage risk in the 24/7 cryptocurrency ecosystem.

An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep research intelligence. Use it to spin up programmable "VC brains" for pitch feedback, diligence simulations, term sheet negotiations, and more.

A Multi-Agent based application which provides a comphrehensive financial/market analysis of any company

A LangGraph-powered agent that finds and analyzes similar companies, leveraging Qdrant for data storage, Exa for research, and Gmail for report delivery. Performs comprehensive market analysis across 5 dimensions with 40+ comparison points per company.

AI-powered research agent that analyzes GitHub repositories and provides technical scoring and market insights.

"ArXiv to Product" — A multi-agent CLI pipeline that analyzes research papers and generates ranked startup ideas with market analysis.

a TUI‑first Python package and multi‑agent market research engine that orchestrates validated data collection, analysis, and report synthesis into citation‑rich PDF reports.

Turn any AI agent into a McKinsey-level strategy consulting team for full market research and analysis

The high quality agentic ai Solana harness ✨ like openclaw 🦞 but specialized for Solana 👽 make trading bots, launch bots, build strategies, trade prediction markets and do research. Made with bun, solana/kit 6, Svelte, Helius, and more. Very gud tek 🤌🏼

AI-powered autonomous equity research agent. Multi-source analysis (Yahoo Finance, SEC 10-K, Reddit, news) with LangGraph orchestration, hybrid RAG, and real-time market data. Generates professional research reports via Telegram bot or REST API. Deployed on Azure Container Apps.

A Multi-Agent based application which provides a comphrehensive financial/market analysis of any company

CryptoMind AI is a frontend demonstration project that showcases a multi-agent AI decision-making workflow for cryptocurrency market analysis. > Demo only · Research & educational purpose · Not financial advice

Financial AI Agent。A professional financial AI agent team, with seven collaborative roles, provides services including investment research, investment banking, market capitalization management, wealth management, trade execution, public opinion monitoring, and investment advisory.

A multi-agent system built with Phidata(Agno) Framework that combines web search and YFinance data to provide comprehensive stock market analysis and investment insights. Features real-time data fetching, fundamental analysis, and automated research capabilities.

A sophisticated multi-agent AI system designed to revolutionize sustainable farming practices. Key Features: Farmer Advisor Agent, Market Researcher Agent, Resource Optimization, Profit Maximization, Real-time Recommendations

InsightEdge is a cutting-edge AI-powered system that transforms raw customer data into actionable business intelligence. Using advanced LangGraph agents and machine learning techniques, it analyzes customer purchasing patterns, identifies market opportunities, and generates comprehensive research reports with strategic recommendations.

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Market Research Agent app, with a focus on opposition research (competitor analysis).

Multi -Agent Environment for market research agents

A multi-agent system for AI-driven market research, use case generation, and resource collection. It utilizes Langchain, Langgraph, Gradio and Tavily API to research industries, generate AI/ML use cases, and gather datasets and tools. This system helps organizations explore AI solutions and implement innovative strategies effectively.

Multi-agent marketing automation system built with CrewAI --> generates market research, strategy, content calendars, social posts, blogs, and SEO-optimized content using structured Pydantic outputs.

This repository provides a Gym environment for analyzing the stock market using reinforcement learning techniques. The environment is compatible with MuZero and enables researchers and practitioners to train and evaluate RL agents in simulated stock market scenarios

No description available