https://github.com/akashparley/stocklyzer
Stocklyzer is a real-time stock analysis web app built with Streamlit. It features stock performance tracking, technical indicators, CAPM-based risk-return insights, and ARIMA-based price prediction. Ideal for finance enthusiasts, analysts, and learners exploring data-driven investing tools.
https://github.com/akashparley/stocklyzer
arima-forecasting data-analysis financial-analysis machine-learning stock-price-prediction
Last synced: about 1 month ago
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Stocklyzer is a real-time stock analysis web app built with Streamlit. It features stock performance tracking, technical indicators, CAPM-based risk-return insights, and ARIMA-based price prediction. Ideal for finance enthusiasts, analysts, and learners exploring data-driven investing tools.
- Host: GitHub
- URL: https://github.com/akashparley/stocklyzer
- Owner: AkashParley
- Created: 2025-07-15T04:49:55.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-15T07:05:19.000Z (11 months ago)
- Last Synced: 2025-08-06T03:40:25.023Z (11 months ago)
- Topics: arima-forecasting, data-analysis, financial-analysis, machine-learning, stock-price-prediction
- Language: Python
- Homepage: https://stocklyzer-aqjkubjztydydfgepacyvt.streamlit.app/
- Size: 34.2 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📈 Stocklyzer – Real-time Stock Market Analysis Web App
**Forecast the future. Analyze the past. Make smarter decisions.**
**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.
---
## 🚀 Live Demo
👉 [Launch App](https://stocklyzer-aqjkubjztydydfgepacyvt.streamlit.app/)
---
## 🧠 Features
### 📊 CAPM Calculator
- Calculate **Beta** and **Expected Returns**
- Analyze stock risk vs market
- Interactive price performance charts
### 📉 Stock Analysis
- Technical indicators
- Volume and trend analysis
- Moving averages & historical insights
### 📈 Stock Prediction
- Forecast next 30 days using **ARIMA**
- Interactive charts of predicted vs historical prices
- Search by **stock ticker or company name**
---
## 🛠️ Tech Stack
- **Frontend / App Interface**: Streamlit
- **Data Sources**: yFinance, NumPy, Pandas
- **Modeling**: ARIMA (statsmodels)
- **Visualization**: Matplotlib, Plotly
- **Deployment**: Streamlit Cloud
---
## 📂 Folder Structure
## 🙋♂️ About the Creator
Hi, I’m **Akash Parley** — a data enthusiast passionate about building intelligent, user-friendly analytics tools.
📬 Reach out: [akashparle786@gmail.com](mailto:akashparle786@gmail.com)
🔗 Connect on [LinkedIn](https://www.linkedin.com/in/akash-parley-9446292a8/)
💻 Explore more on [GitHub](https://github.com/AkashParley)
_If you found this project helpful or inspiring, feel free to ⭐ star the repo and reach out!_
## ⚙️ How to Run Locally
```bash
# Clone the repository
git clone https://github.com/AkashParley/Stocklyzer.git
# Navigate to the project folder
cd Stocklyzer
# Install dependencies
pip install -r requirements.txt
# Run the Streamlit app
streamlit run stock_app.py