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Real-Time AI-Powered Financial News Sentiment Analysis Dashboard

pragmaticcoders.com

Financial services

Information technology

Market Sentiment Monitoring Challenges

Financial professionals struggle to quickly identify and interpret market-moving news due to information overload, lack of automated sentiment classification, and delayed impact assessments of breaking financial news across multiple asset classes.

About the Client

Fintech platform providing real-time market intelligence and AI-driven financial data analysis tools for traders and institutional investors.

Key Project Goals

Create real-time sentiment-aware news dashboard for financial markets
Automate classification of news by market impact and sentiment polarity
Enable cross-asset class sentiment aggregation for stocks, forex, and crypto
Provide AI-assisted contextual analysis of financial news items

Core System Capabilities

Real-time news feed aggregation from multiple sources
Sentiment classification (Bullish/Neutral/Bearish)
Impact level assessment (Low/Medium/High)
Asset class categorization (stocks, forex, crypto)
AI-powered news summarization and contextual analysis
Interactive market sentiment dashboard with filtering options

Technology Stack

JavaScript

HTML

Bulma CSS

ChatGPT (GPT-4o)

Airtable

Make (automation platform)

System Integrations

RSS feed APIs for news sources
AI model API (OpenAI GPT-4o)
Airtable database integration
Real-time data streaming protocols

Non-Functional Requirements

Real-time processing latency under 5 seconds
High-availability architecture for 24/7 financial markets
Secure handling of financial data
Scalable infrastructure for sudden news volume spikes
Responsive UI for multi-device access

Business Value

Enables traders and analysts to rapidly identify market sentiment shifts, prioritize high-impact news, and make data-driven trading decisions through real-time AI analysis of global financial news streams across multiple asset classes.