TrendMaster: Advanced Stock Price Prediction using Transformer Deep Learning

TrendMaster leverages cutting-edge Transformer deep learning architecture to deliver highly accurate stock price predictions, empowering you to make informed investment decisions.

🚀 Features

• Advanced Transformer-based prediction model
• High accuracy with mean average error of just a few percentage points
• Real-time data visualization
• User-friendly interface
• Customizable model parameters
• Support for multiple stock symbols

📊 Why TrendMaster?

TrendMaster stands out as a top-tier tool for financial forecasting by:

• Utilizing a wealth of historical stock data
• Employing sophisticated deep learning algorithms
• Identifying patterns and trends beyond human perception
• Providing actionable insights for smarter investment strategies

🛠️ Installation

Get started with TrendMaster in just one command:

bash pip install TrendMaster

📈 Quick Start

Here's how to integrate TrendMaster into your Python projects:

```python from trendmaster import TrendMaster

Initialize TrendMaster

testsymbol = 'SBIN' tm = TrendMaster(symbolnamestk=testsymbol)

Load data

data = tm.loaddata(symbol=testsymbol)

Train the model

tm.train(testsymbol, transformerparams={'epochs': 1})

Perform inference

predictions = tm.inferencer.predictfuture(valdata=data, futuresteps=100, symbol=testsymbol) print(predictions) ```

📊 Sample Results

Our Transformer-based prediction model demonstrates impressive accuracy:

🖥️ User Interface

TrendMaster comes with a sleek, user-friendly interface for easy data visualization and analysis:

📘 Documentation

For detailed documentation, including API reference and advanced usage, please visit our Wiki.

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for more details.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🌟 Show Your Support

If you find TrendMaster helpful, please consider giving it a star on GitHub. It helps others discover the project and motivates us to keep improving!

📫 Contact

For questions, suggestions, or collaboration opportunities, please reach out:

• Website: hjlabs.in
• Email: hemangjoshi37a@gmail.com
• LinkedIn: Hemang Joshi

🔗 More from HJ Labs

Check out our other exciting projects: - pyPortMan - AutoCut - TelegramTradeMsgBacktestML

Created with ❤️ by Hemang Joshi