18.06.2025 07:34

AI Agent for Investors: Analyzing 100 NASDAQ Companies in Minutes

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Meet Skywork, a groundbreaking AI assistant that outpaces Wall Street analysts by delivering deep financial analysis in record time.

Recently, a user uploaded NASDAQ-100 data, and Skywork generated a comprehensive report with risks, opportunities, and forecasts — all in minutes.


How It Works

Skywork’s standout feature is its ability to transform raw data into actionable insights. Users can upload spreadsheets, charts, and reports, and the AI compiles a detailed guide, highlights trends, and builds forecasts. Visuals, conclusions, and recommendations are all packaged into one seamless output.

Sample Prompt to Try

Save this useful prompt for instant results:

CREATE A SLIDE DECK ON NASDAQ 100 COMPANIES CATEGORIZED BY SECTOR.

For each sector, include:

  1. A list of companies in that sector
  2. Key metrics: Market cap, revenue, growth rate
  3. Performance trends for each sector (up to last quarter)
  4. Visual comparison of sector performance
  5. Emerging trends or notable insights within each sector

Why It’s a Game-Changer

Skywork acts like a team of analysts at your fingertips—delivering professional-grade insights for free and in mere minutes. Its Knowledge feature leverages uploaded data to identify patterns and provide tailored advice, making it ideal for investors seeking an edge.


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Get Started

Ready to test this powerful tool? Visit Skywork at https://skywork.ai/home and revolutionize your investment analysis today.

Author: Slava Vasipenok
Founder and CEO of QUASA (quasa.io) - Daily insights on Web3, AI, Crypto, and Freelance. Stay updated on finance, technology trends, and creator tools - with sources and real value.

Innovative entrepreneur with over 20 years of experience in IT, fintech, and blockchain. Specializes in decentralized solutions for freelancing, helping to overcome the barriers of traditional finance, especially in developing regions.

This is not financial or investment advice. Always do your own research (DYOR).


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