Retrieve Key Corporate Events for Securities

This API supports diverse applications, including portfolio management for adjusting valuations, event-driven trading strategies based on dividends or earnings, investor research tools for analyzing historical trends, financial dashboards for real-time updates, and risk analysis models for assessing price volatility. Additionally, it enables AI-driven applications, such as predictive models that forecast stock price movements based on corporate action patterns and natural language processing tools that generate insights from event data for automated financial reporting.

Key Features

• 📋 Comprehensive Event Coverage - Access data on dividends, splits, and earnings in one API.
  Users can retrieve details for multiple corporate action types by specifying the eventType parameter, enabling seamless tracking of key events that impact security prices. This is ideal for applications like portfolio analytics or event-driven trading systems that require a unified view of corporate actions.

• 📊 Multi-Symbol Support - Query corporate actions for multiple tickers at once.
  By providing a comma-separated list of ticker symbols in the symbols parameter, users can fetch action data for multiple securities in a single call. This streamlines workflows for analysts or portfolio managers monitoring events across diverse holdings, enhancing efficiency in data aggregation.

• 🔍 Targeted Event Filtering - Retrieve specific event types with precision.
  The eventType parameter allows users to filter for dividends, splits, or earnings, ensuring only relevant data is returned. This targeted approach supports use cases like dividend tracking tools or earnings analysis platforms, where focused data retrieval improves performance and usability.

• 🔐 Secure Authentication - Protect your data access with a Base64-encoded key.
  The API requires a T parameter for authentication, ensuring secure access to corporate action data. This feature enables developers to confidently integrate the API into production environments, safeguarding sensitive financial applications.

Query Parameters:

The API accepts the following parameters to customize your request:

Parameter	Meaning	Data Type
T	Application Key which authenticates you with CloudQuote (required)	Base64 string
symbols	Ticker symbols to retrieve corporate actions for, separated by commas (required)	Comma-Delimited String
eventType	The type of event to retrieve (dividend, split, earnings)	String

Use Cases

• 📈 Portfolio Management - Track corporate actions to adjust portfolio valuations.
  Portfolio managers can use the API to retrieve dividend, split, and earnings data, ensuring accurate adjustments to holdings. By integrating event data, applications can automatically recalculate metrics like yield or adjusted cost basis, streamlining portfolio oversight.

• 🤖 Event-Driven Trading - Build strategies around corporate action events.
  Traders can query the API to identify upcoming dividends, splits, or earnings, using the value and eventDate fields to inform trading decisions. This supports automated strategies that capitalize on price movements triggered by corporate events.

• 🔍 Investor Research Tools - Analyze the impact of corporate actions on securities.
  Researchers can leverage the API to study historical event data, such as dividend trends or earnings surprises, to identify patterns or assess company performance. This enhances tools designed for in-depth financial analysis or market research.

• 📊 Financial Dashboards - Display real-time corporate action updates.
  Developers can integrate API data to populate dashboards with event timelines or alerts, providing investors with clear insights into dividend payments, stock splits, or earnings releases. This improves user engagement on financial platforms.

• 🧠 Risk Analysis Models - Incorporate corporate actions into risk assessments.
  Analysts can use event data to model the impact of dividends or splits on price volatility, feeding value and eventType into risk management systems. This supports accurate forecasting and risk mitigation strategies.

• ⚡️ AI-Driven Financial Applications - Leverage corporate action data for advanced AI models.
  Developers can use the API to feed historical and real-time event data into machine learning models that predict stock price movements based on patterns in dividends, splits, or earnings. Additionally, natural language processing tools can analyze event data to generate automated financial reports or sentiment analysis, enhancing decision-making for investors and analysts.

Why Choose FinancialContent's getCorporateActions API?

• 🚀 High Reliability - Dependable data delivery for critical applications.
  Built on robust infrastructure with 99.99% uptime, the API ensures consistent access to corporate action data, even during high-traffic periods. This reliability is crucial for applications requiring uninterrupted event tracking.

• 🔄 Flexible Data Integration - Seamlessly combine with other FinancialContent APIs.
  The API integrates effortlessly with FinancialContent’s broader data ecosystem, allowing users to pair corporate action data with price or news feeds for comprehensive insights. This is ideal for building holistic financial applications.

• 📈 Scalable Query Handling - Process multiple symbols efficiently.
  Designed to handle queries for multiple tickers and event types, the API scales to meet the needs of enterprise-grade platforms, from small research tools to large portfolio systems, without performance degradation.

• 📚 Developer-Friendly Support - Comprehensive resources for smooth integration.
  FinancialContent provides detailed documentation, code samples, and responsive support to ensure developers can quickly implement the API. From setup to advanced use cases, our team helps maximize its potential.

Optimized for High-Speed Access

The getCorporateActions API is designed for peak performance, adhering to industry best practices for efficient data delivery. RESTful endpoints use compact JSON formatting to minimize payload size, ensuring fast parsing and low bandwidth usage. Advanced caching accelerates repeated queries, while globally distributed servers reduce latency for users worldwide. Rate limiting and pagination maintain stability under heavy loads, and asynchronous request handling supports smooth processing of large datasets. This performance-driven design enables developers to build responsive, real-time applications with minimal delays.

Sample Request

GET /api/getCorporateActions?T=your_base64_key&symbols=AAPL,GOOG&eventType=dividend

Sample Response (JSON)

{
  "rows": [
    {
      "symbol": "AAPL",
      "eventDate": "2025-05-15",
      "eventType": "dividend",
      "value": 0.23
    },
    {
      "symbol": "GOOG",
      "eventDate": "2025-06-10",
      "eventType": "dividend",
      "value": 0.15
    },
    ...
  ]
}