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Analyze the past. Make smarter decisions.**\n\n**Stocklyzer** is a real-time stock analysis web app built using **Streamlit**, empowering users to visualize stock trends, evaluate performance, and predict future prices using financial models like **CAPM** and **ARIMA**. Ideal for retail investors, analysts, and students.\n\n---\n\n## 🚀 Live Demo\n👉 [Launch App](https://stocklyzer-aqjkubjztydydfgepacyvt.streamlit.app/)\n\n---\n\n## 🧠 Features\n\n### 📊 CAPM Calculator\n- Calculate **Beta** and **Expected Returns**\n- Analyze stock risk vs market\n- Interactive price performance charts\n\u003cimg width=\"1470\" height=\"956\" alt=\"Screenshot 2025-07-15 at 10 10 42 AM\" src=\"https://github.com/user-attachments/assets/243a108a-c1d4-4a83-a2b1-dd667f632cc9\" /\u003e\n\n### 📉 Stock Analysis\n- Technical indicators\n- Volume and trend analysis\n- Moving averages \u0026 historical insights\n\u003cimg width=\"1470\" height=\"956\" alt=\"Screenshot 2025-07-15 at 10 10 16 AM\" src=\"https://github.com/user-attachments/assets/9a07afbe-b4cf-4ccb-9e16-b3b36fdb2c9a\" /\u003e\n\u003cimg width=\"1470\" height=\"956\" alt=\"Screenshot 2025-07-15 at 10 10 29 AM\" src=\"https://github.com/user-attachments/assets/68045c63-cf5f-40aa-b953-a6200245d7f1\" /\u003e\n\n\n### 📈 Stock Prediction\n- Forecast next 30 days using **ARIMA**\n- Interactive charts of predicted vs historical prices\n- Search by **stock ticker or company name**\n\u003cimg width=\"1470\" height=\"956\" alt=\"Screenshot 2025-07-15 at 10 05 29 AM\" src=\"https://github.com/user-attachments/assets/128f2d46-3137-4339-b631-921f917ba223\" /\u003e\n\n---\n\n## 🛠️ Tech Stack\n\n- **Frontend / App Interface**: Streamlit  \n- **Data Sources**: yFinance, NumPy, Pandas  \n- **Modeling**: ARIMA (statsmodels)  \n- **Visualization**: Matplotlib, Plotly  \n- **Deployment**: Streamlit Cloud\n\n\n---\n\n## 📂 Folder Structure\n\n\n\n\n## 🙋‍♂️ About the Creator\n\nHi, I’m **Akash Parley** — a data enthusiast passionate about building intelligent, user-friendly analytics tools.\n\n📬 Reach out: [akashparle786@gmail.com](mailto:akashparle786@gmail.com)  \n🔗 Connect on [LinkedIn](https://www.linkedin.com/in/akash-parley-9446292a8/)  \n💻 Explore more on [GitHub](https://github.com/AkashParley)\n\n_If you found this project helpful or inspiring, feel free to ⭐ star the repo and reach out!_\n\n\n## ⚙️ How to Run Locally\n\n```bash\n# Clone the repository\ngit clone https://github.com/AkashParley/Stocklyzer.git\n\n# Navigate to the project folder\ncd Stocklyzer\n\n# Install dependencies\npip install -r requirements.txt\n\n# Run the Streamlit app\nstreamlit run stock_app.py\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashparley%2Fstocklyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakashparley%2Fstocklyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashparley%2Fstocklyzer/lists"}