This project is a cryptocurrency trading algorithm code generator that leverages LangChain, an AI-powered language model from OpenAI, and the CCXT library for cryptocurrency exchange integration. The goal is to simplify the process of creating Python code tailored to specific trading requirements.
Cryptocurrency trading involves complex strategies and technical implementations. This tool aims to bridge the gap between trading expertise and programming skills by automatically generating Python code for various trading tasks. The generated code includes functionalities such as fetching market data, placing orders, and implementing trading strategies using the CCXT library.
- Automatic Code Generation: Users input their trading requirements, and the tool generates Python code tailored to those specifications.
- Annotation and Explanation: Each line of the generated code is annotated to explain its role in the overall strategy, ensuring clarity and understanding.
- Customization and Improvement: The generated code serves as a starting point that users can further customize and improve based on their feedback and iterative interactions with the language model.
- Python 3.x installed on your machine
- Virtual environment (recommended)
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Clone the repository:
git clone <repository-url> cd <repository-directory>
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Install dependencies:
pip install -r requirements.txt
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Navigate to the project directory.
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Run the Streamlit app:
streamlit run app.py
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Access the app via the provided URL.
- Vercel CLI installed on your machine
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Install the Vercel CLI globally:
npm install -g vercel
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Log in to your Vercel account:
vercel login
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Navigate to the project directory.
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Initialize the project:
vercel
Follow the prompts to set up and deploy the project.
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Choose the appropriate settings, including the project name, directory, and build commands.
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Confirm and deploy the project.
Once deployed, Vercel will provide a URL where your project is accessible online.
- Interactive Exploration: Implement interactive controls for adjusting parameters like cryptocurrencies, timeframes, and technical indicators.
- Real-Time Data Visualization: Integrate live price charts or visualizations to provide real-time feedback on trading strategies.
- Guided Code Generation: Develop step-by-step guidance or tutorials to assist users in understanding and refining their trading algorithms.
- Error Handling and Suggestions: Implement robust error handling mechanisms to detect and handle common mistakes in user input.
- User Feedback Mechanism: Include a feedback form or mechanism for users to provide input on generated code and suggest improvements.
- Documentation and Resources: Provide links to comprehensive documentation, tutorials, and external resources to educate users about cryptocurrency trading, CCXT, and algorithmic trading strategies.
- Community Interaction: Create a forum or chat feature within the app for users to interact, ask questions, and share insights and experiences.
- Customization Options: Allow users to customize the app's appearance and layout according to their preferences. Offer options for selecting different themes, color schemes, and UI elements to enhance user experience and personalization.