https://github.com/yllvar/pump-meta
Using NLTK to analyze the trending Meta from recent Pump.Fun launch, applying sentiment analysis and time series analysis to capture current meme hype
https://github.com/yllvar/pump-meta
Last synced: 11 months ago
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Using NLTK to analyze the trending Meta from recent Pump.Fun launch, applying sentiment analysis and time series analysis to capture current meme hype
- Host: GitHub
- URL: https://github.com/yllvar/pump-meta
- Owner: yllvar
- Created: 2024-12-10T05:44:48.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-12T06:54:11.000Z (over 1 year ago)
- Last Synced: 2025-02-17T23:42:00.686Z (over 1 year ago)
- Language: Python
- Size: 52.7 KB
- Stars: 10
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 Pump.Fun Token Sentiment Analyzer
## 📊 Project Overview
Pump.Fun Sentiment Analysis is an advanced real-time token analysis tool that provides deep insights into the latest tokens on the Pump.Fun platform.
## ✨ Key Features
### 🔍 Real-Time Data Extraction
- Asynchronous API calls to Pump.Fun
- Continuous token data retrieval
- Comprehensive market tracking
### 📈 Advanced Sentiment Analysis
- Multi-source sentiment scoring
- Comment and trading pattern analysis
- Market cap trend detection
### 🤖 Automated Notifications
- Telegram integration
- Real-time token trend updates
- Instant market insights
## 🛠 Tech Stack
- **Data Processing**: Pandas, aiohttp
- **NLP**: TextBlob, spaCy
- **Visualization**: Matplotlib
- **Notifications**: Telegram Bot
## 🚀 Quick Start
```markdown
### Prerequisites
- Python 3.8+
- Telegram Bot Token
- Pump.Fun API Access
### Installation
```bash
git clone https://github.com/your-username/pump-meta.git
cd pump-meta
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```
### Configuration
1. Replace `your-telegram-token` in `config.py`
2. Set up Telegram group ID
### Run
```bash
python3 main.py
```
## 🔮 Future Roadmap
- [ ] Machine Learning Trend Prediction
- [ ] Interactive Web Dashboard
- [ ] Advanced Backtesting Capabilities
- [ ] Multi-Platform Integration
## 📈 Project Methodology
1. **Data Collection**: Asynchronous API Retrieval
2. **Sentiment Analysis**: Multi-Source Scoring
3. **Trend Detection**: NLP-Powered Insights
4. **Notification**: Real-Time Telegram Updates
## 📜 License
Distributed under the MIT License. See `LICENSE` for more information.