The Stock Trends analytical framework is built on more than three decades of market observation and empirical study. Each week, North American equities and ETFs are classified by trend, momentum, and volume behavior, and these classifications are linked to observed forward return outcomes. The result is a structured, probability-based foundation for market analysis.
The Stock Trends API makes this framework directly accessible to developers, financial applications, and AI systems through machine-readable endpoints, live pricing metadata, and documented access paths.
Start Here
If you are evaluating the API for development or agent use, begin with these resources:
- Developer Portal – onboarding, plans, authentication, x402, and MPP access
- AI Context Endpoint – machine-readable API discovery for agents and tools
- API Documentation – interactive endpoint reference
- OpenAPI Specification – machine-readable API schema
- Pricing Catalog – live endpoint pricing metadata
What the Stock Trends API Provides
The API delivers structured financial intelligence derived from the Stock Trends methodology, including:
- Weekly trend classifications and core indicator data
- Momentum and relative strength measures
- Unusual volume activity signals
- Empirical forward return distributions over 4-, 13-, and 40-week horizons
- Sector and market breadth analytics
- Selections and rankings derived from the Stock Trends Inference Model
- Market regime and leadership context for higher-level analysis
Unlike conventional financial data feeds, the Stock Trends API is not merely descriptive. It exposes a historically grounded, probability-based analytical framework designed to support repeatable research, evaluation, and decision workflows.
Built for Developers, Financial Applications, and AI Agents
The Stock Trends API is designed for modern programmatic use cases, including:
- AI agents and financial copilots
- Quantitative research and backtesting systems
- Algorithmic screening and market intelligence tools
- Portfolio analytics and comparison workflows
- Research dashboards and systematic decision platforms
Machine-readable access is supported through a documented OpenAPI schema and dedicated discovery endpoints, making the API suitable for both traditional software development and agent-native integrations.
Recommended First Workflow
For most developers and agents, the most efficient way to evaluate the API is:
- Review the AI Context Endpoint
- Inspect the Pricing Catalog
- Browse the API Documentation or OpenAPI Specification
- Test a high-value endpoint such as market regime, ST-IM, decision, or agent screening workflows
Access Modes
The Stock Trends API supports multiple access paths depending on the application:
- Subscription access for developer-managed applications using API keys
- x402 pay-per-request for agent-native premium access
- MPP funded sessions for repeated premium calls and budgeted agent workflows
For setup details, see the Developer Portal.
From Editorial Insight to Structured Market Intelligence
Stock Trends has long emphasized a disciplined and transparent approach to market analysis. Editorial reports interpret the data within broader market context, while the API exposes the underlying structure directly.
This allows developers, researchers, and AI systems to move beyond narrative interpretation and work directly with the statistical and categorical framework behind the analysis.
A Foundation for Systematic Market Intelligence
As financial analysis becomes increasingly data-driven and agent-mediated, access to structured, interpretable, historically grounded signals becomes more valuable. The Stock Trends API provides a bridge between traditional market research and modern computational systems.
Whether used in AI-driven applications, research platforms, or institutional workflows, the API offers a consistent and transparent way to evaluate market conditions using the Stock Trends framework.
Begin with the Stock Trends API:
Access to the Stock Trends dataset is governed by the:
Stock Trends Data License
