ValueRay

Categories: Data Analysis, Coding & Developer Tools, Finance | Pricing: Freemium | Official Website ↗

ValueRay provides an AI-ready data API for stocks and ETFs, offering context-aware financial data for analysis and trading systems.

ValueRay offers an API specifically designed for developers building financial dashboards, analysis tools, and trading systems. It is optimized for AI/LLM Agents that require structured data for quick and reliable analysis of financial symbols. The API provides comprehensive technical, quantitative, and sentiment overviews for stocks and ETFs, including price data, moving averages, risk metrics, performance, and proprietary signals. The platform also includes peer comparison within GICS sub-industry groups, returning percentile rankings across various financial metrics. Additionally, it offers data on current market regimes, sector rotation scores, and breadth indicators, with data updating at the end of each day. Field definitions and scoring logic are provided via reference links in every API response.

Key Features

Symbol Technical Overview API
Symbol Peers API
Market Regime & Rotation API
Context-aware financial data
Structured data for AI/LLM agents
Field definitions and scoring logic included

Pros

Optimized for AI/LLM agents
Provides comprehensive financial data
Includes peer comparison and market regime data
Offers a free tier for basic usage
Includes field definitions and scoring logic

Cons

Data is for informational purposes only, not for trading or advice
Data may be delayed or inaccurate
Market regime data updates only end-of-day
Rate limits on free API endpoints
Pricing for paid tiers not specified on the provided page

Use Cases

Building financial dashboards
Developing analysis tools
Creating trading systems
Powering AI/LLM agents with financial context
Performing peer comparisons for stocks and ETFs

Best For

Developers building financial applications
AI/LLM agents requiring financial data
Financial analysts
Quantitative researchers

Platforms: Web

Watch demo on YouTube ↗

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