add

Author: hemangjoshi37a

CODE_OF_CONDUCT.md

@@ -0,0 +1,35 @@
+# Code of Conduct
+
+## Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our community include:
+
+- Using welcoming and inclusive language
+- Being respectful of differing viewpoints and experiences
+- Gracefully accepting constructive criticism
+- Focusing on what is best for the community
+- Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+- The use of sexualized language or imagery and unwelcome sexual attention or advances
+- Trolling, insulting/derogatory comments, and personal or political attacks
+- Public or private harassment
+- Publishing others' private information without explicit permission
+- Other conduct that could reasonably be considered inappropriate in a professional setting
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at [email protected]. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 1.4, available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+
+For answers to common questions about this code of conduct, see [https://www.contributor-covenant.org/faq](https://www.contributor-covenant.org/faq)

CONTRIBUTING.md

@@ -0,0 +1,21 @@
+# Contributing to TrendMaster
+
+Thank you for your interest in contributing to TrendMaster! Your contributions are welcome and will help improve the library for everyone.
+
+## How to Contribute
+
+1. **Fork the Repository**: Click on the Fork button at the top of the repository page.
+2. **Clone the Forked Repository**: `git clone https://github.com/yourusername/TrendMaster.git`
+3. **Create a New Branch**: `git checkout -b feature/your-feature`
+4. **Make Your Changes**: Ensure your code is clean, well-documented, and follows the project's coding standards.
+5. **Commit Your Changes**: `git commit -m "Add your feature or fix"`
+6. **Push to Your Fork**: `git push origin feature/your-feature`
+7. **Create a Pull Request**: Go to the original repository and click on "New Pull Request."
+
+## Code of Conduct
+
+By participating in this project, you agree to follow the [Code of Conduct](CODE_OF_CONDUCT.md). Please report any violations to [[email protected]](mailto:[email protected]).
+
+## License
+
+By contributing to this project, you agree that your contributions will be licensed under the MIT License.

MANIFEST.in

@@ -0,0 +1,2 @@
+include README.md
+include LICENSE

README.md

@@ -3,19 +3,35 @@
 [![Python Version](https://img.shields.io/badge/python-3.7%2B-blue)](https://www.python.org/downloads/)
 [![License](https://img.shields.io/badge/license-MIT-green)](https://opensource.org/licenses/MIT)
 [![GitHub Stars](https://img.shields.io/github/stars/hemangjoshi37a/TrendMaster?style=social)](https://github.com/hemangjoshi37a/TrendMaster/stargazers)
-
-TrendMaster leverages cutting-edge Transformer deep learning architecture to deliver highly accurate stock price predictions, empowering you to make informed investment decisions.
-
-![TrendMaster Demo](https://user-images.githubusercontent.com/12392345/125791380-341cecb7-a605-4147-9310-e5055f30b220.gif)
+[![GitHub Forks](https://img.shields.io/github/forks/hemangjoshi37a/TrendMaster?style=social)](https://github.com/hemangjoshi37a/TrendMaster/fork)
+[![GitHub Issues](https://img.shields.io/github/issues/hemangjoshi37a/TrendMaster)](https://github.com/hemangjoshi37a/TrendMaster/issues)
+
+TrendMaster is an advanced stock price prediction library that leverages Transformer deep learning architecture to deliver highly accurate predictions, empowering investors with data-driven insights.
+
+## Table of Contents
+
+- [Features](#features)
+- [Why TrendMaster?](#why-trendmaster)
+- [Installation](#installation)
+- [Quick Start](#quick-start)
+- [Sample Results](#sample-results)
+- [User Interface](#user-interface)
+- [Documentation](#documentation)
+- [Contributing](#contributing)
+- [License](#license)
+- [Show Your Support](#show-your-support)
+- [Contact](#contact)
+- [More from HJ Labs](#more-from-hj-labs)
+- [Try Our Algo Trading Platform hjAlgos](#try-our-algo-trading-platform-hjalgos)
 
 ## 🚀 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
+- **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?
 
@@ -77,10 +93,11 @@ train_data, test_data = data_loader.prepare_data(
     output_window=10,
     train_test_split=0.8
 )
+
 import torch
 # Initialize model, trainer, and train the model
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-print(f'Training of {device} device.')
+print(f'Training on {device} device.')
 model = TransAm(num_layers=2, dropout=0.2).to(device)
 
 trainer = Trainer(model, device, learning_rate=0.001)
@@ -150,7 +167,7 @@ Check out our other exciting projects:
 
 ## 📫 Try Our Algo Trading Platform hjAlgos
 
-Ready to elevate your trading strategy? 
+Ready to elevate your trading strategy?
 
 <a href="https://hjalgos.hjlabs.in" style="
     display: inline-block;
@@ -170,3 +187,4 @@ Ready to elevate your trading strategy?
 ---
 
 Created with ❤️ by [Hemang Joshi](https://github.com/hemangjoshi37a)
+

setup.py

@@ -5,14 +5,14 @@
 
 setup(
     name="trendmaster",
-    version="0.2.0",
+    version="0.2.3",
     author="Hemang Joshi",
     author_email="[email protected]",
     description="Stock Price Prediction using Transformer Deep Learning Architecture",
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/hemangjoshi37a/TrendMaster",
-    packages=find_packages(exclude=["tests", "examples"]),
+    packages=find_packages(exclude=["Training","Inference"]),
     classifiers=[
         "Development Status :: 3 - Alpha",
         "Intended Audience :: Developers",
@@ -40,4 +40,4 @@
             "trendmaster=trendmaster.cli:main",
         ],
     },
-)
+)