This project involves developing a Python-based application that interacts with prediction market platforms like PancakeSwap and Dogebets. It includes functionality for monitoring betting rounds (epochs), placing bets, and implementing prediction strategies. The application leverages smart contract interaction for real-time data handling and backtesting strategies.
- Interaction with PancakeSwap and Dogebets smart contracts.
- Dynamic handling of prediction rounds (epochs).
- Functionality for placing bets and claiming rewards.
- Backtesting framework for prediction strategies.
- Configurable to switch between different platforms.
- Enhanced logging and error handling.
Based on what's actually being used...
prediction-bot/
│
├── common/
│ └── prediction_platform.py
│
├── modules/
│ ├── platforms/
│ │ ├── pancakeswap.py
│ │ └── dogebets.py
│ └── utils/
│ ├── abi_utils.py
│ └── log_utils.py
│
├── logs/
│ └── empty
│
├── config.py # Configuration settings
├── main.py # Main application script
└── README.md # Project documentation
- Implement Platform-Specific Functions
- Complete PancakeSwap and Dogebets specific implementations.
- Implement Dynamic Epoch Handling
- Develop methods for real-time data fetching and epoch management.
- Develop Basic Backtesting Framework
- Add functionality for historical data retrieval and strategy testing.
- Enhance Logging and Error Handling
- Implement robust logging and comprehensive error handling.
- Write Unit Tests
- Develop unit tests for core functionalities.
- Optimize Gas Usage and Implement Gas Estimation
- Analyze and optimize gas consumption; provide gas cost estimates.
- User-Friendly Interface (CLI/GUI)
- Begin development of a simple CLI or GUI for user interaction.
- Documentation and Code Comments
- Ensure all code is well-documented and commented.
- Security Review and Testing
- Conduct regular security analyses focusing on common vulnerabilities.
- Prepare for Deployment and Real-world Testing
- Set up the application for deployment on test networks.
(Provide instructions on how to set up and install the application, including installing dependencies, setting environment variables, etc.)
(Include examples and descriptions of how to use the application, including any command-line arguments, configuration options, and examples of output.)
(If applicable, provide guidelines on how others can contribute to the project.)
(Include details about the project's license, if applicable.)
(Your contact information or instructions on how to get support.)