AI-Powered Market Analysis: From Manual Research to Automated Intelligence

‍Client Overview

Lumiwealth, a fintech company serving active traders, needed to transform how their clients process market information. In fast-moving markets, manual news analysis and data gathering created a competitive disadvantage, traders were spending hours researching when they should have been trading.

The Challenge: Information Overload Slowing Down Traders

Before automation, traders faced a critical time problem:

• Manual news monitoring: Hours spent scanning multiple news sources, financial sites, and social media for relevant market information
• Delayed insights: By the time traders manually analyzed news and sentiment, market opportunities had often passed
• Inconsistent analysis: Quality of insights varied based on individual trader experience and available time
• Scalability bottleneck: Couldn't effectively monitor enough stocks or news sources to capitalize on opportunities
• Data fragmentation: Financial data, news sentiment, and social discussions lived in separate silos

Traders needed their time back to focus on what matters, making trades, not gathering information.

The Solution: Multi-Agent AI System for Market Intelligence

We built a collaborative multi-agent AI system that automates the entire market research workflow. Each specialized AI agent handles a specific task:

• News Agent: Real-time scraping and filtering of relevant market news
• Sentiment Agent: Analyzes news tone and market psychology
• Financial Data Agent: Extracts and processes data from Yahoo Finance and other sources
• Social Monitoring Agent: Tracks X.com (Twitter) for breaking news and market discussions
• Analysis Agent: Identifies trends and generates actionable trade suggestions
• Coordination Agent: Synthesizes insights from all agents into comprehensive reports

The agents work together, sharing insights and cross-referencing data to deliver what used to take hours in minutes.

The Results: From Product Feature to Revenue Stream

Operational Efficiency

• Automated what previously required hours of manual research per day
• Real-time market intelligence delivery instead of delayed, manual analysis
• Consistent, comprehensive analysis across multiple data sources simultaneously

Time Back for Revenue Activities

‍Traders reclaimed hours previously spent on research, now invested in:

• Executing more trades per day
• Identifying and acting on opportunities faster
• Managing larger portfolios without proportional time increase

Business Impact: Feature Became Product

‍The system was so valuable that Lumiwealth now sells it as a standalone product to their clients, turning an internal efficiency tool into a new revenue stream.

Technical Foundation for Growth

‍Beyond the market analysis tool, AI Point built critical infrastructure enabling Lumiwealth's entire business:

• AWS infrastructure setup that powers their platform
• Data processing pipeline that drives their website ("literally the whole reason why our website works")
• Additional AI products in development (FAQ assistant) to further enhance customer value

Client Testimonial

"AI Point helped us build some really cool stuff... They helped us build out a data listener for our website which is incredible, it's literally the whole reason why our website works. We just launched this brand new website and we're getting amazing traction on it.

They also helped us build an AI agent for market analysis which we're now actually selling to our clients as well... They've been very responsive and helpful whenever we reach out. They're a great team, very easy to work with.

I strongly recommend working with them, if you guys are thinking about it, don't think, just act."

— Rob, CEO, Lumiwealth

ROI Beyond The Initial Build

This project demonstrates how AI automation can:

1. Give time back to professionals for high-value activities
2. Create new revenue streams by turning internal tools into marketable products
3. Enable scaling without proportional resource increases
4. Build competitive advantages through faster, better information processing

Beyond Trading

While built for financial market analysis, this multi-agent approach applies to any information-intensive workflow:

• Legal research: Automated case law and document analysis
• Business intelligence: Competitive monitoring and market research
• Due diligence: Investment research and company analysis
• Media monitoring: Brand tracking and crisis detection

Ready to turn your time-consuming research into automated intelligence? Contact us here