In the DeepSeek Harness (DSH) ecosystem, integrating quantitative backtesting logic and risk metric calculation directly into agent workflows can improve strategy development efficiency. Below is an introduction to a DSH skill focused on this area.
What It Is¶
satan9394/dsh-quant-backtest is a DSH skill that primarily provides quantitative backtesting and risk metric calculation. It is designed to help developers avoid backtesting biases and offers analysis capabilities related to walk-forward testing and Sharpe drawdown. Its design is inspired by wshobson/agents.
Core Features¶
Based on verified information, this skill includes the following capabilities:
* Quantitative backtesting
* Risk metric calculation
* Bias avoidance
* Walk-forward
* Sharpe drawdown analysis
Installation and Enablement¶
No official installation command is currently provided. It is recommended to visit its GitHub repository for detailed usage instructions.
Typical Usage¶
Due to a failed README fetch, specific code examples or commands are currently unavailable.
Use Cases and Notes¶
This skill is suitable for agent developers who need to integrate quantitative backtesting capabilities. It is important to note that this skill runs with the permissions of the current DSH process. Before installation, you should check the source code and license information.
Conclusion¶
This skill provides basic support for quantitative analysis in the DSH environment. For more details and source code, visit its GitHub repository or community directory page.