MingGuang Data provides an AI‑driven platform that links data providers and consumers via a blockchain‑secured marketplace, using a recommendation engine to match data assets with user demand. It also offers a no‑code, multi‑agent quantitative trading suite and AI tools that let financial institutions and analysts build, back‑test, and deploy strategies without programming.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations and investors often struggle to locate high-quality data assets and to build quantitative trading strategies without extensive technical expertise, leading to inefficient decision‑making and missed investment opportunities.
Solution
MingGuang Data offers an AI‑driven data circulation platform that connects data providers with consumers through a blockchain‑secured marketplace. An intelligent recommendation engine matches user demand with the most relevant data assets, while smart contracts ensure secure, tamper‑proof transactions. The platform also includes a no‑code, multi‑agent quantitative trading system that lets users assemble, back‑test, and deploy investment strategies using modular AI agents without programming. Additional tools such as a local algorithm workbench, AI analysis assistant, and curated industry research help users transform raw data into actionable insights, streamlining data‑driven investment decisions.
Target Audience
Primary customers are financial institutions, investment firms, and corporate analysts who need reliable data assets and accessible quantitative trading tools, as well as data providers seeking a secure marketplace for monetizing their datasets.
Features
- AI recommendation engine that automatically matches data supply and demand, continuously refined by deep‑learning models
- Blockchain‑based marketplace with smart‑contract execution for encrypted, immutable data transaction records
- No‑code multi‑agent quantitative trading suite (Quant Blocks) with modular AI agents for fundamentals, macro, technical, sentiment, arbitrage, risk, and more
- Local algorithm workbench providing a library of machine‑learning models, visual pipelines for data preprocessing, feature engineering, training, and evaluation
- AI‑powered data analysis assistant that generates reports from natural‑language queries, lowering technical barriers for business users
- Integrated data forum and AI‑curated research paper recommendations to foster community knowledge sharing and stay abreast of industry advances