TradeOgre Bot

A crypto trading bot designed for the TradeOgre exchange.

Introduction

This trading bot is designed to automate trading on the TradeOgre exchange. It utilizes a sophisticated strategy combining a SSL (Support and Stop Loss) hybrid indicator with a slope indicator for efficient and effective trading decisions. Built in Rust, this bot offers exceptional performance and speed. Additionally, it leverages a vector store database for rapid data retrieval and management, ensuring quick response to market changes.

Features

• SSL Hybrid Indicator: Combines support and resistance levels with stop-loss functionality for informed trading decisions.
• Slope Indicator: Helps in determining the trend's direction and strength, enhancing the decision-making process.
• TradeOgre Exchange Integration: Directly interfaces with TradeOgre's API for seamless trading.
• Vector Store Database: Utilizes a high-performance database for fast data access and storage.
• High-Speed Performance: Written in Rust, known for its speed and memory efficiency.
• Automatic Trading: Automates the trading process, from analysis to execution.

Getting Started

Prerequisites

• Rust (latest stable version)
• API keys from TradeOgre
• Basic understanding of trading and cryptocurrency markets
• Install the cargo package and its dependencies.

Ubuntu:

sudo apt install cargo

Installation

1. Clone the repository:

   git clone [repository URL]

2. Navigate to the project directory:

   cd [project directory]

3. Run install.sh:

   bash install.sh

4. Usage To run the trading bot, run start.sh

    bash start.sh

Strategy

This bot uses a combination of SSL hybrid and slope indicators. The SSL hybrid indicator identifies support and resistance levels, while the slope indicator determines the trend direction. The bot enters a trade when both indicators align, ensuring a high probability of success.

Safety and Security

Please note that trading cryptocurrencies involves significant risk. This bot does not guarantee profits and should be used with caution. Always test trading strategies in a simulated environment before deploying real capital.

Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your proposed changes.

License

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