---
name: twitter-stock-sentiment-f3adaf5e54d4
description: Analyze Twitter/X sentiment for stocks using $cashtags. Track mentions, sentiment scores, influencer activity, and trending discussions for any ticker.
license: MIT
metadata:
  author: Erik Malm
  version: "1.0.0"
allowed-tools: exec
---

# 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


---
Source attribution: Erik Malm
Original project: https://github.com/diegosouzapw/awesome-omni-skill/blob/a6b3c3005cedf056a48b084671c6282426d6e9fc/skills/tools/twitter-stock-sentiment/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: Erik Malm
Original project: https://github.com/diegosouzapw/awesome-omni-skill/blob/a6b3c3005cedf056a48b084671c6282426d6e9fc/skills/tools/twitter-stock-sentiment/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing
Roles: Marketing Analyst, Growth Marketer, Social Media Manager
Specialties: API, Cross Platform
Tools: Bird Cli
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: 944bb3669965c0aba66962aea3d467de3a1ab8fd7e8bd38673266f0afdd85341