Alpha Vantage for Openclaw

A production-ready workflow for fetching and processing financial market data, technical indicators, and fundamental analysis via Alpha Vantage.

oscraters
v1.0.0
Feb 27, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install alpha-vantage

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install alpha-vantage using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Alpha Vantage?

This skill provides a comprehensive interface for AI agents to interact with the Alpha Vantage API, facilitating access to a wide spectrum of financial data including stocks, ETFs, forex, cryptocurrencies, and macroeconomic indicators. By utilizing these Openclaw Skills, developers can implement reliable market data retrieval that handles the complexities of financial APIs, such as data normalization and varied response schemas.

The primary purpose is to empower agents with the ability to conduct real-time price lookups, time series analysis, and deep fundamental screening. It bridge the gap between raw API responses and actionable financial intelligence, ensuring that data is both accurate and ready for commercial-grade deployment.

Alpha Vantage Use Cases

  • Retrieving historical and real-time OHLC price bars for stock and crypto analysis.
  • Calculating technical indicators such as RSI, SMA, and MACD for automated trading strategies.
  • Accessing company fundamentals including earnings, balance sheets, and cash flow statements.
  • Monitoring global macroeconomic trends and foreign exchange rates.
  • Building automated screening tools for ticker lookups and fundamental analysis.

How Alpha Vantage Works

  1. The skill classifies the incoming request into specific data families such as time series, indicators, or fundamentals.
  2. Mandatory parameters like symbols and intervals are resolved using the references within the Openclaw Skills framework.
  3. A validated request is constructed using the secure API key and appropriate function endpoints.
  4. The system parses the response to detect HTTP errors, API-specific error messages, or rate-limiting notes.
  5. If throttling is detected, the skill automatically implements a retry logic with exponential backoff and jitter.
  6. The resulting data is normalized into a stable schema for consistent downstream usage and analysis.

Alpha Vantage Setup

To get started with these Openclaw Skills, ensure you have your Alpha Vantage API key ready.

  1. Set your API key as an environment variable:
export ALPHAVANTAGE_API_KEY=your_api_key_here
  1. Use the provided client script for scriptable calls with built-in retry logic:
python scripts/alpha_vantage_client.py
  1. Review the detailed endpoint guidance in references/api_docs.md to configure specific data pulls.

Alpha Vantage Data Schema & Taxonomy

The skill organizes market data into a predictable structure for easier integration:

Data Type Organization Key Metadata
Time Series Timestamped dictionaries of OHLCV data Interval, Time Zone, Symbol
Technical Indicators Mapped values based on specific technical functions Function Name, Series Type
Fundamental Data Structured records for earnings and financial statements Fiscal Date, Currency
Macro/FX Time-based records of global economic indicators Indicator Name, Unit

Alpha Vantage Advanced Features

  • Intelligent throttle detection and automated exponential backoff to maintain service continuity.
  • Secure credential management through environment variables to prevent API key exposure.
  • Response caching for stable data like fundamentals to reduce API quota consumption.
  • Circuit-breaking and queue backpressure logic for high-traffic environments.
  • Detailed instrumentation of call counts, error classes, and latency for operational monitoring.

SKILL.md


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