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The project is aimed at developing an intelligent bot for automated cryptocurrency trading, leveraging advanced machine learning (ML) algorithms and feature engineering. The project offers the following core functionalities

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Trading Soft: Intelligent Automated Cryptocurrency Trading Bot 🤖💰

Trading Soft

Welcome to Trading Soft! This project focuses on developing an intelligent bot for automated cryptocurrency trading. By utilizing advanced machine learning (ML) algorithms and effective feature engineering, we aim to streamline trading processes and maximize profits in the dynamic world of cryptocurrency.

Table of Contents

Core Functionalities

Trading Soft provides several core functionalities designed to enhance your trading experience:

  1. Automated Trading: Execute trades automatically based on predefined strategies and market conditions.
  2. Arbitrage Opportunities: Identify and exploit price differences across various exchanges to maximize profits.
  3. Risk Management: Implement strategies to minimize losses and protect your investments.
  4. Real-time Data Analysis: Analyze market data in real-time to make informed trading decisions.
  5. Customizable Strategies: Tailor trading strategies to fit your individual risk tolerance and investment goals.
  6. User-friendly Interface: Navigate through a simple and intuitive interface for seamless trading.

Technologies Used

This project leverages a variety of technologies and tools to deliver a robust trading solution:

  • Python: The primary programming language for developing the bot.
  • Pandas: For data manipulation and analysis.
  • NumPy: To handle numerical computations.
  • Scikit-learn: For implementing machine learning algorithms.
  • Matplotlib: For data visualization.
  • CCXT: A library to connect with various cryptocurrency exchanges.
  • Docker: To containerize the application for easy deployment.

Getting Started

To get started with Trading Soft, follow the steps outlined in the Installation section. Ensure you have the necessary prerequisites installed on your system.

Installation

  1. Clone the Repository: Start by cloning the repository to your local machine.

    git clone https://github.com/AgungWidhiPramana/trading_soft.git
    cd trading_soft
  2. Install Dependencies: Use pip to install the required libraries.

    pip install -r requirements.txt
  3. Set Up Configuration: Configure your API keys and other settings in the config.json file.

  4. Run the Bot: Execute the bot to start trading.

    python main.py

Usage

Once you have installed Trading Soft, you can start using it to trade cryptocurrencies. The bot will automatically execute trades based on the strategies you have set up.

Example Commands

  • Start Trading: Run the bot to begin trading.

    python main.py
  • Stop Trading: To stop the bot, simply terminate the process.

User Guide

Refer to the Wiki for detailed documentation on using Trading Soft, including advanced configuration options and troubleshooting tips.

Contributing

We welcome contributions to improve Trading Soft. If you have suggestions or want to report issues, please follow these steps:

  1. Fork the Repository: Create a personal copy of the repository.

  2. Create a Branch: Use a descriptive name for your branch.

    git checkout -b feature/YourFeatureName
  3. Make Changes: Implement your changes and commit them.

    git commit -m "Add a new feature"
  4. Push to Your Fork: Push your changes to your forked repository.

    git push origin feature/YourFeatureName
  5. Open a Pull Request: Submit a pull request to the main repository for review.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For questions or feedback, feel free to reach out:

Releases

To download the latest release of Trading Soft, visit our Releases section. Here, you can find the latest updates and executable files for your convenience.


Thank you for your interest in Trading Soft! We hope this bot enhances your trading experience in the cryptocurrency market. Happy trading! 🚀

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The project is aimed at developing an intelligent bot for automated cryptocurrency trading, leveraging advanced machine learning (ML) algorithms and feature engineering. The project offers the following core functionalities

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