Stock Trends API: Developer & AI Access to Market Trend Data

What the Stock Trends API Provides

The API delivers structured financial data built on the Stock Trends methodology, including:

  • Weekly trend classifications and indicator data
  • Momentum and relative strength measures
  • Volume activity signals
  • Empirical forward return distributions (4, 13, and 40 weeks)
  • Sector and market breadth analytics
  • Selection and ranking datasets derived from the Stock Trends Inference Model

Unlike conventional financial data feeds, the Stock Trends API is not simply descriptive. It reflects a probability-based framework grounded in observed historical outcomes.

Built for Developers and AI Systems

The Stock Trends API is designed for modern use cases, including:

  • AI agents and financial copilots
  • Quantitative research and backtesting systems
  • Algorithmic trading tools
  • Portfolio analytics platforms
  • Market intelligence dashboards

Machine-readable access is supported through a fully documented OpenAPI specification, allowing seamless integration across programming environments and agent frameworks.

Access the API

Developers can explore the API and begin integration through the following resources:

From Editorial Insight to Structured Data

Stock Trends has long emphasized a disciplined, probability-based approach to market analysis. Editorial reports interpret the data within a broader market context, while the API exposes the underlying structure directly.

This allows developers and researchers to move beyond narrative interpretation and engage directly with the statistical framework that drives the analysis.

A Foundation for Systematic Market Intelligence

As financial markets become increasingly data-driven, the ability to access structured, historically grounded signals becomes essential. The Stock Trends API provides a bridge between traditional market research and modern computational systems.

Whether used in AI-driven applications or institutional research workflows, the API enables a consistent and transparent approach to evaluating market conditions through the Stock Trends framework.


Start building with Stock Trends data today:
Developer Portal


Access to the Stock Trends dataset is governed by the:
Stock Trends Data License

Stock Trends Editorial

  • Forward Probability Is Expanding Beyond Trend Confirmation
    Forward Probability Is Expanding Beyond Trend Confirmation The recent Stock Trends editorials have established that the current market is not defined by a unified directional regime. Instead, it is characterized by internal dispersion, where leadership is fragmented across sectors, industries, and individual securities. The latest dataset reinforces that conclusion. But more importantly, it reveals a structural shift beneath the surface: forward return probabilities are no longer tightly coupled to traditional trend classifications.
    08 April 2026 Read more...
  • Leadership Beneath the Surface: How Stock Trends Identifies System-Critical Equities
    Leadership Beneath the Surface: How Stock Trends Identifies System-Critical Equities The broad market still reads as a rotation market rather than a generalized expansion phase. Energy, Materials, and Utilities remain the clearest sector-level leadership blocs, but the current Stock Trends dataset shows that a second layer of leadership is now becoming more visible beneath the sector averages. That secondary leadership is important because it does not present itself as broad participation. It appears instead through specific industry groups whose internal trend structure is materially stronger than that of their parent sectors. In this week’s data, the clearest examples are Semiconductors and Equipment, Telecommunications, Containers & Packaging, and Banking.
    29 March 2026 Read more...
  • Indexing Is the Baseline—Probability Is the Edge
    Indexing Is the Baseline—Probability Is the Edge The case for indexing continues to strengthen, and rightly so. The evidence is overwhelming: most active managers fail to outperform their benchmarks over time, and the costs of attempting to do so only compound the underperformance. For many investors, indexing has become not just a strategy, but the default solution. But the conclusion that often follows—that markets cannot be meaningfully outperformed—is where the interpretation begins to break down. The failure of traditional active management is not evidence that opportunity does not exist. It is evidence that non-probabilistic selection fails.
    24 March 2026 Read more...
  • Continuation, Not Expansion: What the Probability Structure Now Reveals
    Continuation, Not Expansion: What the Probability Structure Now Reveals The current market is not offering investors the kind of broad speculative expansion that often defines the early phase of a powerful advance. Nor is it confirming a simple risk-off breakdown. The latest Stock Trends dataset points to something more disciplined. The probability structure remains constructive, but it is now being expressed primarily through continuation and consolidation rather than broad breakout expansion.
    21 March 2026 Read more...
View all Stock Trends Editorials
 
 

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