Readme.md

metadata

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)

pip install -r requirements.txt
export FLASK_SECRET_KEY="your-secret-key"
python app.py