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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📈 Global Stock Intelligence Dashboard\n\n\u003cdiv align=\"center\"\u003e\n\n## Interactive Global Stock Analytics Platform Built with Python, Streamlit \u0026 Plotly\n\nAnalyze market movements, explore stock performance, compare global markets, and generate actionable insights through an interactive financial dashboard.\n\n[Live Demo](https://global-stock-intelligence-dashboard-kt2yprnaklgpyef5ikcpcj.streamlit.app/)\n\n![Python](https://img.shields.io/badge/Python-3.10+-blue?style=for-the-badge\u0026logo=python)\n![Streamlit](https://img.shields.io/badge/Streamlit-Dashboard-red?style=for-the-badge\u0026logo=streamlit)\n![Plotly](https://img.shields.io/badge/Plotly-Interactive-blueviolet?style=for-the-badge\u0026logo=plotly)\n![Pandas](https://img.shields.io/badge/Pandas-Analytics-black?style=for-the-badge\u0026logo=pandas)\n![Finance](https://img.shields.io/badge/Finance-Global%20Markets-green?style=for-the-badge)\n\n\u003c/div\u003e\n\n---\n\n# 🌍 Project Overview\n\nFinancial markets generate enormous amounts of data daily, making it difficult for investors and analysts to quickly identify trends, compare markets, and understand stock behavior.\n\nThis project builds an **interactive stock intelligence platform** that transforms raw stock market data into meaningful insights through:\n\n- Interactive analytics\n- Country-wise market exploration\n- Stock performance tracking\n- Trend detection\n- Comparative market analysis\n- Storytelling dashboards\n\nThe goal is not just visualization — but helping users understand **what is happening in the market and why.**\n\n---\n\n# 🚀 Key Features\n\n## 📊 Interactive Market Analytics\n\n- Dynamic stock filtering\n- Country-level exploration\n- Date range filtering\n- Real-time dashboard interactions\n- Market storytelling approach\n\n## 🌎 Global Market Coverage\n\nSupports stocks across:\n\n🇺🇸 USA  \n🇮🇳 India  \n🇬🇧 UK  \n🇨🇦 Canada  \n🇯🇵 Japan  \n🇩🇪 Germany  \n🇫🇷 France  \n🇨🇳 China  \n🇭🇰 Hong Kong  \n🇸🇬 Singapore  \n🇰🇷 South Korea  \n🇸🇦 Saudi Arabia  \n🇦🇺 Australia  \n🇧🇷 Brazil  \n🇹🇼 Taiwan  \n🇳🇱 Netherlands  \n🇨🇭 Switzerland  \n🇸🇪 Sweden  \n🇮🇹 Italy  \n🇪🇸 Spain  \n\n## 📈 Stock Intelligence Features\n\n- Top gainers identification\n- Biggest losers tracking\n- Volume analysis\n- Market trend signals\n- Historical performance analysis\n- OHLC analysis\n- Candlestick visualization\n- Trend exploration\n\n## 🎨 Dashboard Experience\n\n- Premium dark UI\n- Interactive KPI cards\n- Financial storytelling design\n- Smooth filtering experience\n- Recruiter-friendly presentation\n\n---\n\n# 🧠 Business Questions Answered\n\nThis dashboard helps answer:\n\n- Which stocks are outperforming?\n- Which markets are strongest?\n- Which companies are heavily traded?\n- What trends exist across countries?\n- Are markets bullish or bearish?\n- How does one stock compare historically?\n\n---\n\n# 📂 Project Structure\n\n```text\nGlobal-Stock-Intelligence-Dashboard/\n│\n├── data/\n│   ├── AUSTRALIA_Final.csv\n│   ├── Brazil_Final.csv\n│   ├── CANADA_Final.csv\n│   ├── China_Final.csv\n│   ├── ...\n│   └── USA_Final.csv\n│\n├── notebook/\n│   └── stocks.ipynb\n│\n├── app.py\n├── final_data.csv\n├── requirements.txt\n├── README.md\n│\n└── screenshots\n```\n\n---\n\n# 📊 Dataset Information\n\n| Attribute | Details |\n|----------|----------|\n| Countries Covered | 20 |\n| Data Source | Yahoo Finance |\n| Features | OHLCV + Metadata |\n| Historical Data | Multi-country |\n| Format | CSV |\n| Columns | Date, Open, High, Low, Close, Volume, Stock_Name, Ticker, Country |\n\n\n---\n\n# 🛠️ Tech Stack\n\n| Technology | Purpose |\n|------------|----------|\n| Python | Core Development |\n| Pandas | Data Processing |\n| NumPy | Numerical Analysis |\n| Streamlit | Dashboard Framework |\n| Plotly | Interactive Visualizations |\n| YFinance | Stock Data Collection |\n| Jupyter Notebook | Research \u0026 EDA |\n| CSS | Custom UI |\n\n---\n\n# 📸 Dashboard Preview\n\n## Stock Exploration\n\n![Hero Dashboard](screenshots/dashboard1.png)\n\n![Stock Analytics](screenshots/dashboard2.png)\n\n---\n\n## Country Performance\n\n![Analytics](screenshots/analytics.png)\n\n---\n\n## Market Analytics\n\n![Stocks](screenshots/stocks.png)\n\n\n---\n\n# ⚙️ Installation\n\nClone repository:\n\n```bash\ngit clone https://github.com/prathmesh2507/Global-Stock-Intelligence-Dashboard.git\n```\n\nMove into folder:\n\n```bash\ncd World-Stock-Analytics\n```\n\nInstall dependencies:\n\n```bash\npip install -r requirements.txt\n```\n\nRun dashboard:\n\n```bash\npython -m streamlit run app.py\n```\n\n---\n\n# 🔥 Future Improvements\n\n- Risk Metrics\n- Sharpe Ratio\n- Forecasting Models\n- News Sentiment Analysis\n- Real-Time Data Integration\n- Alert System\n\n---\n\n# 👨‍💻 About Me\n\n**Prathmesh Bhoyar**\n\nPassionate about:\n\n- Data Analytics\n- Financial Intelligence\n- Machine Learning\n- Interactive Dashboard Design\n- Building User-Centric Analytics Products\n\n---\n\n# ⭐ Support\n\nIf you found this project useful:\n\n⭐ Star the repository  \n🍴 Fork the repository  \n💬 Share feedback  \n\n---\n\n## Built to transform stock data into market 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