STOCK MARKET Pro - Advanced US Stock Analysis
Python app for stock market analysis, technical indicators, ML forecasting & paper trading
Item Description
Unlock the power of the stock market with Stock Market Pro, the ultimate Python-based stock analysis and trading dashboard! This SEO-optimized script leverages yfinance for real-time US stock data, delivering professional-grade stock market analysis, technical analysis tools, fundamental analysis, AI stock predictions, stock forecasting, and a paper trading simulator—all in an intuitive Streamlit app. Perfect for day traders, investors, and developers searching for "stock trading platform," "technical indicators script," or "ML forecasting tools"
Analyze stocks with advanced features:
Real-Time Stock Data & Indices: Fetch prices for S&P 500, NASDAQ, Dow Jones—ideal for "stock market today" queries.
Technical Analysis Mastery: RSI, MACD, Bollinger Bands, Stochastic, ATR—core to "technical analysis" searches.
Fundamental Analysis Depth: Financial statements (income, balance, cash flow), ratios (PE, ROE, PEG)—for "fundamental analysis tools."
ML Predictions: Random Forest, Ensemble models for buy/sell signals
Advanced Stock Forecasting: Linear Regression, ARIMA, Monte Carlo simulations—optimized for "stock market predictions" and "stock forecasting script."
Paper Trading Simulator: Virtual portfolio with P&L tracking—great for "day trading simulator" or "options trading practice."
Watchlist & Reports: Custom watchlists, PDF/HTML/CSV exports with charts—supports "stock screener" and "trading journal" needs.
Easy Customization: Modular code with caching, logging, and SQLite DB—deploy on Heroku or locally for "Python stock trading app" builders.
No API keys needed; auto-installs packages like scikit-learn, statsmodels.
Features
- 📈 Real-time US stock market data via yfinance
- 🔍 Advanced technical analysis tools: RSI, MACD (with histogram), Bollinger Bands (width/position), Stochastic K/D, ATR, SMA/EMA—essential for "technical analysis script" users.
- 📊 Comprehensive fundamental analysis: Annual/quarterly financial statements (income, balance, cash flow), key ratios (PE, PEG, ROE, Debt/Equity)—perfect for "fundamental analysis dashboard."
- 🤖 Multi-model stock predictions: Random Forest, Technical, Momentum, Ensemble with confidence scores
- 🔮 Sophisticated stock forecasting engine: Linear Regression, AR(1), Monte Carlo (vectorized simulations), ARIMA with auto-order—optimized for "stock market predictions" and "stock forecasting tools."
- 💼 Paper trading simulator: Virtual $100K portfolio, buy/sell orders, P&L tracking, transaction history—for "day trading simulator" and "options trading practice."
- ⭐ Custom watchlist management: Add/remove stocks, live price updates, notes—functions as a "stock screener" with change tracking.
- 📉 Market dashboard: Major indices (S&P 500, NASDAQ, VIX) with returns (1d-10y)—great for "stock market analysis" overviews.
- 📉 Interactive charts: Plotly visualizations for prices, volumes, technical indicators—supports "trading chart patterns" and "professional charting software."
- 📄 Report generation: Professional PDF (with ReportLab, embedded charts), HTML previews, CSV exports—including all data for "trading journal" and "stock research tools."
- 🧮 Financial ratios calculator: Automated from statements, with formatting for large numbers—enhances "balance sheet analysis" and "financial statement analysis."
- ⚡ Data caching & custom periods: TTL caching, custom date ranges (1w-max)—reduces API calls for efficient "stock market analysis tools."
- 🛡️ Error handling & logging: Robust setup with warnings filtered, custom logger—ensures reliability for "penny stocks" or high-volume users.
- 🔧 Easy setup: Auto-installs dependencies (Streamlit, Pandas, Scikit-learn, Statsmodels, TA-Lib); runs as standalone Python script.
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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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