Python Stock Market Analysis Dashboard Script ML Predictions, Forecasting & Paper Trading Tool
Powerful Python Stock Analysis Dashboard: Real-time Data, ML Buy/sell Signals, ARIMA/Monte Carlo Forecasts, Paper Trading Portfolio, Watchlist & Pro PDF Reports. Runs Locally With Streamlit.
Screenshots
Item Description
STOCK MARKET Pro is a powerful, ready-to-run Python stock market analysis script built with Streamlit. It gives casual investors and serious traders professional-grade US stock tools — all in one local dashboard. No subscriptions , no API keys , no cloud dependency — everything runs on your computer. • Real-time data • Technical indicators • Machine learning predictions • Advanced forecasting • Simulated paper trading • Watchlist tracking • Financial statements & ratios • Beautiful PDF/HTML/CSV reports
Features
Key Features of this Python Trading Script 🔥
📡 Real-Time Data Live US stock prices + major indices (S&P 500, NASDAQ, Dow, VIX) via yfinance
📊 Technical Indicators RSI, MACD, Bollinger Bands, Stochastic Oscillator, ATR, OBV, volatility
🤖 Machine Learning Predictions Multi-model engine: Random Forest, Technical Analysis, Momentum, Ensemble → Buy/Sell/Hold signals + confidence %
🔮 Advanced Forecasting Linear Regression, AR(1), Monte Carlo Simulation, ARIMA → Forecast up to 365 days with confidence intervals
💼 Paper Trading Platform Simulate trades, track virtual portfolio, P&L, holdings pie chart, transaction history
⭐ Watchlist Add symbols, live price updates, % change coloring, personal notes
💹 Financial Statements & Ratios Annual/quarterly income, balance, cash flow + key ratios (PE, ROE, profit margin, etc.)
📄 Comprehensive Reports One-click PDF/HTML reports with embedded charts + full CSV export
🖥️ Intuitive Dashboard Clean multi-tab Streamlit interface + smart data caching for speed
Who is this Python Stock Analysis Tool perfect for? 👥
• Retail traders who want more than basic charting apps 📱
• Python developers / learners building real trading projects 🐍
• Anyone tired of juggling 5 different websites for stock research 🌐
• People who want local, private analysis (no data ever leaves your machine) 🔒
Information
| Category | Scripts & Code / Python |
| First Release | 21 February 2026 |
| Last updated | 21 February 2026 |
| Files included | .py |
| File Size | 1 MB |
| Frameworks | Python |
