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Financial Analysis with News API
Benefits
Financial Analysis API Features
Financial Analysis with News API provides real-time access to market-moving news, earnings reports, economic indicators, and financial trends from thousands of global sources. Investors, analysts, and financial institutions use the API to track portfolio-relevant news, analyze market tone (positive, negative, or neutral), and make data-driven investment decisions.
Use cases
What you can do
Use our news data whether you're a small business or a large corporation.
Catalyst tracking
Surface upcoming and recently-occurred catalysts (earnings, M&A, regulatory) per ticker with sentiment.
News-driven signals
Build signals from sentiment time-series, breaking-news intensity, and entity-exposure shifts.
Issuer-risk monitoring
Detect distress signals across covered issuers via sentiment polarity drift and negative-event frequency.
Central-bank monitoring
Stream Fed, ECB, BoJ, and PBOC commentary with timestamp precision for real-time analysis.
Deal-pipeline tracking
Track announced deals, rumors, and antitrust review progression in target sectors.
Treasury & FX news
Monitor currency, rates, and commodity news affecting hedging programs and treasury operations.
More than 300,000+ sources
Teams around the world use APITube to build digital products.
- Last updated
- 8s ago
- Total sources
- 300.000k
- Requests yesterday
- 27.524
- Articles added yesterday
- 94.645
- Total articles
- 3.88b
Interactive Demo
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News API Scenarios
Ready to build with News API?
See recipes and code examples for common tasks.
API response
Loading... Frequently asked questions
- Financial Analysis with News API provides real-time access to market-moving news, earnings reports, economic indicators, and financial trends from thousands of global sources. Investors, analysts, and financial institutions use the API to track portfolio-relevant news, analyze market tone (positive, negative, or neutral), and make data-driven investment decisions.
- For each financial news article, see whether the tone is positive, negative, or neutral, with a confidence score. Filter by sentiment.overall.polarity to show only bullish or bearish news. Combine tone data with stock ticker mentions and source credibility scores to build market sentiment dashboards and trading signals.
- Yes, track any public company by name, ticker symbol, or industry. The API identifies company mentions automatically. Filter for earnings-related keywords and set alerts for quarterly report announcements. The is_breaking flag helps you catch market-moving earnings surprises as they happen.
- The API aggregates hundreds of specialized financial publications. Use source.rank.opr filters to prioritize authoritative financial journalism. Coverage spans stocks, bonds, commodities, forex, cryptocurrencies, and alternative investments.
- Build news-based trading signals, sentiment indicators, and event-driven strategies. Access publication timestamps, sentiment scores, entity mentions, and topic classifications. Integrate with Python, R, or other quant platforms via JSON/CSV export formats for backtesting and live trading systems.
- Yes. The API provides cryptocurrency coverage including Bitcoin, Ethereum, DeFi protocols, NFTs, and blockchain technology news. Filter by crypto-specific categories and track sentiment around specific digital assets. Monitor regulatory developments, exchange news, and whale activity that impacts crypto markets.
- Access historical financial news archives dating back years for trend analysis, backtesting trading strategies, and research. Query by date ranges to analyze how markets reacted to past events. Build time-series datasets for machine learning models or academic research on market behavior and news impact.
- Integrate the API into trading terminals, research platforms, risk management systems, and client-facing applications. High-volume enterprise deployments are supported with dedicated infrastructure, custom SLAs, and compliance-friendly data handling. Export to Excel, integrate with Bloomberg Terminal, or build dashboards for your investment team.
Features
Get what you need without complexity
Access news articles from thousands of sources.
News API
- Export data in many formats
- Industry Monitoring
- Brand Monitoring
- Market news and trends
- Risk Management
- Competitor news
- Media Monitoring
- Article tone
- Trend Analysis
- Group related articles
- Forecasting social trends
- Multiple languages
- Audience Engagement
- Geographical Analysis
- Real-time Breaking News
- Past articles
- Custom News Feeds
- News Aggregation
- Content Filtering
- Over 50 integrations
Details about each article
- Industries
- Locations
- Persons
- Organizations
- Brands
- Events
- Disasters
- Diseases
- Links
- Media
- Images & Videos
- Hashtags
- Authors
- Source
- Find duplicate articles
- Source rank
- Article Sentiment
- Readability Score
- Detect language
Analysis
- Article tone
- Analysis of public opinion
- Categorization
- Financial Analysis
- Trend Analysis
- Group related articles
- Content Summarization
- Names and places
- Keyword Extraction
- Article topics
- Event Detection
- Names and places
- Text Classification
- Controversy Detection
- Source trust scores
- Engagement Metrics
- Source viewpoints
- Quality Ranking
- Spam Detection
- Emotion Detection
Search filters
- Search by Location
- Search by Date Range
- Search by Source
- Search by Category
- Search by Industry
- Search by article tone
- Search by Story
- Search by source rank
- Search by Language
- Search by name or place
- Search by Keywords
- Combine terms with AND, OR, NOT
- Proximity Search
- Faceted Search
- Range Queries
- Search by Author
- Search by Media Type
- Search by Breaking News
- Search by Read Time
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News API Migration Guide 2026: Switch Without a Rewrite
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Build a Breaking News Detection System in Python (2026)
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Sentiment Data and Financial Analysis API.
APITube offers financial analysis optimised news information. All articles have sentiment scores and this allows the market coverage to be quantified. Follow companies, industries, and economic measures of 300,000 and more sources.
Our financial analysis API provides structured data in Python and R, among other analysis systems, options. The history data covers 10 or more years on backtesting and correlation research. Trading signals and monitoring of markets are supported by real time feeds.
Sentiment time series data would allow the quantitative analyst and researchers to correlate the price movement with sentiment time series data. Filter according to source authority in order to cut on publication of impact. Export to JavaScript Object Notation, comma-separated value, or plug-in into database.
Python-SDKs and others have clean Python data retrieval interfaces. The main financial analysis processes such as sentiment aggregation, entity tracking, and event detection are well documented.
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