This tool generates custom trading strategies for Hummingbot by transforming domain-specific language (DSL) specifications into executable Python code. It uses a TextX metamodel to parse .strategy files and then renders these into Python scripts through Jinja2 templates.

• Python 3.6 or higher
• TextX
• Jinja2

You can install the required Python packages using:

pip install textx jinja2

• /textx/strategy.tx: This file defines the grammar of the custom DSL used for defining trading strategies.
• /textx_files/*.strategy: These are the strategy specification files written according to the custom DSL grammar.
• /templates/base_template.j2: A Jinja2 template that defines the structure of the final Python script.
• /output_strategies/: The directory where the generated Python scripts will be saved.

1. Define your strategy in a .strategy file using the DSL defined in strategy.tx.

2. Place your .strategy file in the /textx_files/ directory.

3. Ensure the Jinja2 template in /templates/ is set up to correctly format the Python script based on the DSL model.

4. Run the script to generate the Python trading strategy:

   python generate_strategy.py

5. The script will parse the .strategy file, render the template, and save the resulting Python file in /output_strategies/.

If there are errors during the generation process, the script will output an error message detailing what went wrong. Ensure that the .strategy file matches the grammar specified in strategy.tx and that the Jinja2 template is correctly set up to handle the model.

To customize the generation process, you can modify the strategy.tx grammar file to fit your DSL needs, or update the Jinja2 template to change the output Python script's structure.

This README provides a comprehensive guide on the usage and structure of your project, which should be helpful for both users and developers.