Can this skill analyze cryptocurrencies?

Yes, as long as the underlying data providers (like Twelve Data or FinnHub) support the specific crypto tickers you are querying.

How does the sentiment analysis work?

It uses xAI's Grok models to scan real-time X (Twitter) data and web search results, then correlates that qualitative data with quantitative price or fundamental data provided by the financial APIs.

Which financial APIs are supported by this skill?

The skill is pre-configured to work with FinnHub, Twelve Data, Alpha Vantage, and Financial Modeling Prep (FMP).

Do I need separate API keys to use this skill?

Yes, you must provide your own API keys for xAI and any financial data providers you intend to use (e.g., FINNHUB_API_KEY, XAI_API_KEY) via environment variables.

xAI Financial Sentiment Integration

Name: xAI Financial Sentiment Integration
Author: adaptationio

byadaptationio

Data Science & ML

Integrates real-time xAI Grok sentiment with professional financial data APIs for comprehensive market and sentiment analysis.

About

This skill empowers Claude to bridge the gap between social media sentiment and traditional market data. By leveraging xAI’s Grok API for real-time insights from X (formerly Twitter) alongside data from FinnHub, Twelve Data, and Financial Modeling Prep (FMP), it enables sophisticated cross-referencing of price action, technical indicators, and fundamental metrics with public mood. It is an essential tool for developers and analysts building trading bots, market dashboards, or sentiment-aware investment systems that require a holistic view of asset performance and market psychology.

Key Features

Automated price-sentiment divergence and correlation detection
Seamless multi-API orchestration with FinnHub, Twelve Data, and FMP
Post-earnings reaction analysis comparing financial results with investor sentiment
Technical indicator confluence combining RSI/SMA with social signals
Real-time X sentiment analysis using xAI Grok models
0 GitHub stars

Use Cases

Building sentiment-aware automated trading strategies and signals
Validating the market impact of news headlines against real-time social media reactions
Creating comprehensive financial dashboards that combine news, fundamentals, and social trends

About

Key Features

Automated price-sentiment divergence and correlation detection
Seamless multi-API orchestration with FinnHub, Twelve Data, and FMP
Post-earnings reaction analysis comparing financial results with investor sentiment
Technical indicator confluence combining RSI/SMA with social signals
Real-time X sentiment analysis using xAI Grok models
0 GitHub stars

Use Cases

Building sentiment-aware automated trading strategies and signals
Validating the market impact of news headlines against real-time social media reactions
Creating comprehensive financial dashboards that combine news, fundamentals, and social trends