# Twitter Stock Sentiment

> Analyze Twitter/X sentiment for stocks using $cashtags. Track mentions, sentiment scores, influencer activity, and trending discussions for any ticker.

- Skill: `diegosouzapw/twitter-stock-sentiment` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add diegosouzapw/twitter-stock-sentiment`
- Raw SKILL.md: https://api.skillmd.com/api/skills/diegosouzapw/twitter-stock-sentiment/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: diegosouzapw (https://skillmd.com/u/diegosouzapw)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/diegosouzapw/twitter-stock-sentiment

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# 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

```bash
./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