data-dependency-download

To download training and test data dependencies, this skill reads your local hotvect config and algorithm repository info, constructs complete hv-ext download-data-dependency commands, and executes them after validating prerequisites.

Before downloading data dependencies, you need a local hotvect configuration at ~/.hotvect/config.json specifying data directories and credentials, plus a configured algorithm repository and an active Python virtual environment.

The data dependency download process validates prerequisites by checking your local hotvect config, confirming algorithm repository information, and activating the appropriate Python virtual environment before executing the download commands.

If your hotvect configuration is missing, the skill detects the absence of ~/.hotvect/config.json and guides you through the necessary setup steps to define data directories and credentials before retrying the data dependency download.

You should download local data dependencies before running hotvect training or backtesting operations locally, ensuring all required training and test datasets are available in your configured data directories.

No, you cannot download data dependencies without an algorithm repository. The skill reads algorithm repository information from your local hotvect config to construct the complete hv-ext download-data-dependency commands with all required arguments.