Does this skill provide real-time price data?

While the skill focuses primarily on sentiment analysis, it includes implementation patterns to combine sentiment data with price data from external financial APIs.

Can I monitor multiple stocks simultaneously?

Yes, the skill includes specialized functions for multi-stock comparison and watchlist monitoring to track sentiment across a portfolio.

Is an xAI API key required to use this skill?

Yes, you must provide an 'XAI_API_KEY' environment variable to allow the skill to communicate with the Grok-4-1-fast model.

What data source does this skill use for analysis?

This skill utilizes real-time posts, discussions, and influencer activity from X (formerly Twitter) via Grok's native data integration.

xAI Stock Sentiment Analysis

Name: xAI Stock Sentiment Analysis
Author: adaptationio

byadaptationio

Ciencia de Datos y ML

Analyzes real-time stock sentiment on X (Twitter) using Grok to provide actionable market insights and retail investor mood.

Acerca de

The xAI Stock Sentiment Skill leverages the unique real-time data access of Grok to provide comprehensive sentiment analysis for financial markets. By scanning X (formerly Twitter) for specific stock tickers, influencers, and breaking news, it generates structured JSON data including sentiment scores, volume metrics, key drivers, and potential risks. It is an essential tool for traders and developers looking to integrate social sentiment, retail investor psychology, and unusual activity detection into their financial applications or trading bots through the xAI API.

Características Principales

Integration hooks for combining social sentiment with price and volume data
Automated detection of unusual mention volume and sudden sentiment shifts
0 GitHub stars
Real-time sentiment scoring from -1.0 to 1.0 using Grok's live X integration
Deep earnings reaction analysis to gauge market response to financial reports
Comparative sector-wide analysis to identify market leaders and laggards

Casos de Uso

Analyzing post-earnings sentiment to predict short-term price movements and market consensus
Monitoring specific watchlists for sudden spikes in social media activity or influencer mentions
Building automated trading bots that incorporate retail investor sentiment as a signal

Acerca de

Características Principales

Integration hooks for combining social sentiment with price and volume data
Automated detection of unusual mention volume and sudden sentiment shifts
0 GitHub stars
Real-time sentiment scoring from -1.0 to 1.0 using Grok's live X integration
Deep earnings reaction analysis to gauge market response to financial reports
Comparative sector-wide analysis to identify market leaders and laggards

Casos de Uso

Analyzing post-earnings sentiment to predict short-term price movements and market consensus
Monitoring specific watchlists for sudden spikes in social media activity or influencer mentions
Building automated trading bots that incorporate retail investor sentiment as a signal