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Administrator Documentation

This documentation is intended for people who want to know how to run the application locally.

Trading Strategy Tester package

In terms of the Trading Strategy Tester Python package itself, user can simply install it via pip:

pip install trading-strategy-tester

This will install the latest stable version of the package. If you want to install the latest development version, you can clone the repository and install it locally:

git clone https://github.com/DrDanicka/trading_strategy_tester.git

or if you are using Apple device with mlx support, you can clone this version:

git clone --recurse-submodules https://github.com/DrDanicka/trading_strategy_tester.git

in which you would be able to train your models locally.

Web Application

The web application is a separate project that uses the Trading Strategy Tester package as a backend. If you want to use the web application, you need to do the following:

  1. Install Ollama on your machine using this link.
  2. Clone the repository:
git clone https://github.com/DrDanicka/trading_strategy_tester_web_app.git
  1. Navigate to the project directory:
cd trading_strategy_tester_web_app
  1. Initialize the Ollama models:
python init_ollama.py

This step downloads the fine-tuned weights for the Llama 3.2 models that are needed to create Ollama models. It's required to have at least 50GB of free space on your disk. Right after the weights are downloaded, Ollama models are created and the weights are deleted. 5. Start the application with docker:

docker-compose up --build

This command builds the docker image and starts the application. The application will be available at http://localhost:5001.

Note: If you want to use LLM integration in your code without the web application, you still have to do steps 1-4. to initialize the models. You can then use the process_prompt function to generate trading strategies from natural language prompts.