News RSS Feeds

News - RSS Feeds Video Explanation

Use Case

Sravz News - RSS Feeds provides a comprehensive news aggregation dashboard for real-time market intelligence. The page aggregates news from multiple trusted financial sources and uses AI-powered sentiment analysis to categorize articles as positive, negative, or neutral.

Key Features

Analytics Dashboard

Summary Cards: At-a-glance view of total news count with breakdown by sentiment (positive, negative, neutral)
Sentiment Distribution Chart: Visual representation of news sentiment across all sources using pie/column charts
Source Distribution: Top news sources ranked by article count
Recent News Preview: Quick access to the 5 most recent articles with sentiment indicators

Enhanced News Grid

Sentiment Badges: Color-coded chips (green=positive, red=negative, blue=neutral) for instant sentiment identification
Source Icons: Visual icons for each news source (CNBC, WSJ, Reuters, etc.)
Clickable Headlines: Direct links to original articles
Time-Relative Display: Shows how long ago articles were published (e.g., “2 hours ago”)
Sortable Columns: Sort by date, source, sentiment, or title
Advanced Filtering: Filter news by source or sentiment category

News Sources

The RSS feed aggregator pulls from major financial news outlets:

CNBC: Breaking news, tech, world, and politics
Wall Street Journal: Markets and business coverage
NASDAQ: Stock market news and analysis
Kitco: Gold and precious metals news
Yahoo Finance: Market headlines and insights

Sentiment Analysis

Each news article is processed through a Natural Language Processing (NLP) sentiment analyzer that provides:

Compound Score: Overall sentiment score (-1 to +1)
Positive Score: Percentage of positive sentiment
Negative Score: Percentage of negative sentiment
Neutral Score: Percentage of neutral sentiment

News - RSS Feeds - Screenshot

Screenshot:

Technical Details

Refresh Rate: News is refreshed every 15 minutes
Data Processing: Real-time sentiment computation on incoming feeds
Responsive Design: Optimized for desktop and mobile viewing