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---
title: Stock Sentiment Prediction
emoji: 📈
colorFrom: blue
colorTo: pink
sdk: docker
app_file: app.py
pinned: false
---
# 📊 Stock Sentiment Analysis and Prediction
This Hugging Face Space provides real-time stock price prediction using LSTM models trained on historical stock data and sentiment analysis from Twitter/Reddit.
## 🚀 Features
- 📉 Predict future stock prices (AAPL, AMZN, GOOG, MSFT, TSLA)
- 💬 Analyze sentiment of social media text (VADER)
- 🧠 Uses LSTM models trained on historical and sentiment-augmented data
- 📈 Real-time stock data via Yahoo Finance
## 🧠 Tech Stack
- Flask (backend)
- TensorFlow (LSTM models)
- yFinance, PRAW, Tweepy (data collection)
- VADER (sentiment analysis)
- Matplotlib (charts)
- Hugging Face Spaces (deployment via Docker)
## 🧪 Usage
### Web Interface
- Choose a stock ticker and optionally enable sentiment-based prediction.
- Enter recent tweets/news/comments.
- Get predicted stock price, trend chart, and delta.
### API Endpoints
| Endpoint | Method | Description |
|-----------------------|--------|--------------------------------------|
| `/predict` | POST | Predict stock price (HTML form) |
| `/sentiment` | GET/POST | Analyze text sentiment |
| `/api/stock/<symbol>` | GET | Get real-time stock data |
| `/api/sentiment` | POST | API to get sentiment label and score|
## ⚙️ Setup (Local)
```bash
pip install -r requirements.txt
export FLASK_SECRET_KEY="your-secret-key"
python app.py
|