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

🚀 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

### 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

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.