Stock Price Prediction Using Python
Stock Price Prediction
Stock Price Prediction is a comprehensive and production-grade SaaS solution designed for predicting short-term stock prices using advanced machine learning techniques. Developed by UPDATEGADH, this professional platform enables users to visualize stock trends, analyze technical indicators, and make data-driven predictions—all within a seamless, containerized web application.
Project Summary
Attribute | Details |
---|---|
Project Name | Stock Price Prediction |
Language/s Used | Python |
Database | Not Applicable / NA |
Type | Web Application |
Developer | UPDATEGADH |
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Available Features
1. User Authentication & Secure Login
2. Tiered Subscription Plans (with integrated Stripe Payments)
3. Portfolio Management Dashboard
4. Custom Stock Price Alerts
5. AI-Powered Sentiment Analysis for Market News
6. Interactive Historical Price Charts
7. Technical Indicators:
- Bollinger Bands
- MACD (Moving Average Convergence Divergence)
- RSI (Relative Strength Index)
- SMA & EMA
Machine Learning Models:
- Linear Regression
- Random Forest
- Extra Trees
- K-Nearest Neighbors
- XGBoost
1.RESTful API for full platform access
2.User Dashboard for tracking predictions and preferences
3. Modern Containerized Deployment (Docker + FastAPI)
Technology Stack
- Backend: Python, FastAPI
- Frontend: Streamlit
- Machine Learning: Scikit-learn, XGBoost
- Visualization: Plotly
- Caching: Redis
- Authentication: JWT
- DevOps: Docker, Docker Compose
- Payment Gateway: Stripe
- Stock Data Provider: Yahoo Finance API
Subscription Tiers
Plan | Features |
---|---|
Free | 5 predictions/day, 7-day forecast, Linear Regression model only |
Basic | 20 predictions/day, 14-day forecast, LR + Random Forest |
Professional | 50 predictions/day, 30-day forecast, 4 models, Priority Support |
Enterprise | 200 predictions/day, 60-day forecast, All models, Premium Support, Bulk API access |
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