attempt-evaluation

What problem does it solve?

This Skill streamlines the evaluation of SignalAgent strategies, automating the process of parameter search, backtesting, and summary generation, saving time and reducing manual effort.

Core Features & Use Cases

• Automated Strategy Evaluation: Simplifies the process of evaluating SignalAgent strategies by automating parameter search, backtesting, and summary generation.
• Single and Batch Evaluation: Supports both single attempt evaluation and batch evaluation of multiple strategies.
• Use Case: Imagine you have a set of strategies generated by SignalAgent. Use this Skill to evaluate them and determine the best-performing strategy for further analysis.

Quick Start

Run the attempt-evaluation skill to evaluate a single strategy: python -m strategy_lab.cli signal evaluate-attempt RUN_STATE_PATH --strategy-path STRATEGY_PATH --strategy-spec-path STRATEGY_SPEC_PATH --param-space-path PARAM_SPACE_PATH --strategy-meta-path STRATEGY_META_PATH --strategy-name STRATEGY_NAME --search-method ga --max-candidates 30 --max-workers 2