Make financial information more transparent.Bring technology closer to every investor.

We study global financial markets, financial technology and investment tools, with attention to macroeconomics, U.S. equities and company fundamentals.We present financial information and research methods clearly, helping individual investors build the ability to understand and analyze markets.

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Integrated market data

Key market, sector and company data in one view.

In-depth AI analysis

Perspectives across fundamentals, technicals and sentiment.

Professional research reports

Structured insights that surface what matters.

End-to-end investment tools

Support from research through decision-making.

About us

Research and technology expand individual investors’ horizons.

Yuansheng Research was founded by a research team that follows capital markets over the long term. We believe professional research should not belong only to a few institutions. Technology can give more individual investors access to high-quality financial information and analytical tools.

More transparent markets create more rational investors.

Founder

Ethan Fu

His long-term work focuses on global financial markets, including macro cycles, U.S. company fundamentals, sector trends and financial technology tools. He aims to turn the most useful professional investment frameworks into clear methods that individual investors can understand and use.

Date of birth18 April 1978BackgroundSingaporean Chinese; later relocated to Manhattan, New YorkBased inNew York and Washington, D.C., United States

Make complex markets understandable and individual investing closer to professional research.

AI Nebula

AI Nebula: a revolutionary AI investing system

Ethan Fu’s flagship work

I. Origins and development

1. Origins

AI Nebula (AI Nebula quantitative trading intelligence) is the flagship system led by globally recognized investor Ethan Fu.

Ethan Fu is a Wall Street veteran with international credentials including the CFA (Chartered Financial Analyst) and FRM (Financial Risk Manager). Since 2015, he has systematically collected global investor data covering millions of historical trades, investor behavior patterns, and macroeconomic indicators across equities, ETFs, cryptocurrencies, and derivatives.

The data comes from large enterprise databases, public market APIs, and real user feedback gathered through free online investing communities—including a global series of investment courses launched across Asia-Pacific and Europe since 2020. Over years of accumulation, this became a structured dataset of more than 10TB.

After years of research and development, Ethan Fu combined investment psychology with AI engineering, drawing on Daniel Kahneman’s Prospect Theory and building with technologies such as Python and TensorFlow. Starting from volume analysis, he gradually constructed this autonomous intelligent system.

AI Nebula is not a simple algorithmic tool. It is an intelligent system built on a distinctive three-chain architecture:

Data Chain

Collects global market data in real time to ground the system’s analysis.

Decision Chain

Turns collected data and analytical models into trading signals.

Evolution Chain

Uses reinforcement learning (RL) to iterate the models and continuously improve analytical capability.

AI analysis workflow

Professional stock analysis in four steps

From extensive data to structured conclusions, we make complex analysis clear and efficient.

Choose a security

Enter a ticker or company name and define the market, sector and research scope you want to examine.

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Develop insights

Combine fundamentals, market performance and public information to form multidimensional research leads.

Structure the report

Organize conclusions, risk factors and visual data into a clear, readable report.

Support judgement

Provide a research framework that helps investors form more complete independent views.

AI stock analysis is for research assistance and information organization only. It is not investment advice, a return promise or a trading instruction.

Market prices are affected by macro conditions, sector changes, company operations and liquidity. Investors should make independent decisions in light of their own risk tolerance.

Future platform features, data coverage and report content are subject to the live backend integration and service rules.

Report samples

Professional, clear and readable equity research reports

From company profiles, financial analysis and sector comparisons to valuation and risk disclosures, our research framework presents concise and accessible analysis.

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Multidimensional data analysis
Clear visual charts
Key conclusions and risk disclosures
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Market briefings

Follow market developments and understand the forces behind them

We aggregate important financial and market developments with concise context to help you understand what is happening faster.

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