Twitter Stock Sentiment

Analyzes Twitter/X sentiment for stocks using the bird CLI and $cashtag tracking.

Features

• Mention Volume: Track tweet counts for any $TICKER
• Sentiment Analysis: Bull/neutral/bear scoring using NLP
• Influencer Tracking: Identify high-follower accounts discussing the stock
• Trending Hashtags: Associated tags and themes
• Crisis Detection: Spikes in negative sentiment
• 7-day Trends: Volume and sentiment changes

Usage

./analyze.sh AAPL
./analyze.sh TSLA --days 30

Output Format

Markdown report with:

• Sentiment score (-1 to +1)
• Mention volume and trend
• Top influencer tweets
• Hashtag analysis
• Notable sentiment shifts

Requirements

• bird CLI installed (brew install steipete/tap/bird)
• Authenticated Twitter/X session

Installation

1. Clone this repository to your skills folder
2. Install bird CLI: brew install steipete/tap/bird
3. Authenticate with Twitter/X: bird auth
4. Install Python dependencies: pip install -r requirements.txt

How It Works

1. analyze.sh fetches recent tweets mentioning the $TICKER using bird CLI
2. sentiment.py performs NLP analysis on tweet text using VADER
3. Results are aggregated and formatted as a Markdown report
4. Influencer tracking identifies high-follower accounts
5. Hashtag extraction reveals trending themes

Configuration

Edit analyze.sh to customize:

• Number of tweets to fetch (default: 100)
• Time window (default: 7 days)
• Sentiment thresholds for crisis detection