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.
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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) 🔒
$ 9
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Information
| Category | Scripts & Code / Python |
| First Release | 21 February 2026 |
| Files included | .py |
| File Size | 1 MB |
| Frameworks | Python |
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