
Business Situation
Retail investors following volatile stocks, working across charting tools, news feeds, and forums to form a view before acting.
Operational Challenge
Answering one practical question — what is this stock doing right now, and does the movement matter — meant moving between three or four tools and interpreting the result yourself. Price charts show movement but not condition, and most analysis tools assume the reader already speaks their language.
Solution
QuotePlot Agent answers questions about a stock's status, condition, or trend in plain language, with live charts alongside. A classification pipeline evaluates market signals so each assessment is backed by a real model rather than generic text.
Business Impact
Research that meant assembling context from several sources returns a grounded answer on demand, with 86% classification accuracy on the underlying signals. Because the assessment comes from a model rather than free text, its behaviour can be measured against historical data and improved deliberately.
Workflow
Features
Natural-language Q&A
Ask about any stock
Live Charts
Prices and trends
SVM Pipeline
86% classification accuracy
Real-time Data
Market API integrations
Grounded Agent
Answers backed by the model
Architecture
A Python FastAPI service hosts the intelligence layer: data ingestion from market APIs, the SVM classification pipeline, and the agent that translates natural-language questions into analyses. A Next.js frontend provides the stock list, charting, and chat interface. Separating the model service from the UI keeps the ML pipeline independently deployable and testable against historical data.
Client Applications
API & Business Logic
Data & Intelligence
Available Customizations
Is this suitable for your business?
This foundation is ideal for:
Foundation Coverage
Reusable modules from the Carlsson Studio foundation, combined with logic built for this domain.
Foundation Modules
- Dashboard
- Charts
- Chat UI
Finance Modules
- Stocks
- Signals
- Queries
AI Modules
- SVM Classifier
- NL Agent
Technical Highlights
Backend
ML
Frontend
Data
Pattern
Interested in something similar?
We can customize this foundation to match your own business workflow.
Start from this foundation