dsh-quant-backtest
Run the following command in DeepSeek Harness:
dsh plugin install satan9394/dsh-quant-backtest
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install satan9394/dsh-quant-backtest in your DeepSeek Harness terminal to install this plugin; the source is hosted at https://github.com/satan9394/dsh-quant-backtest
About this plugin
dsh-quant-backtest is a workflow plugin in the DeepSeek Harness ecosystem, purpose-built for quantitative backtesting. It brings the backtesting process into the Agent orchestration layer so that strategy validation can chain together with other workflow nodes.
In quant research, backtesting is often one of the most frequent and time-consuming steps in the strategy iteration loop. By abstracting backtesting into a schedurable workflow node, the plugin lets repetitive tasks such as parameter sweeps and multi-strategy comparisons run as automated pipelines with minimal manual intervention.
It is well suited for developers and quant researchers who are building quantitative research workflows and want to slot backtesting steps into an Agent-driven automation chain.
Use Cases
- Slot backtesting into an Agent workflow pipeline for automated strategy iteration
- Run batch backtests across multiple strategies and parameter sets as a pipeline
- Chain backtesting with data ingestion and report generation nodes in a quant research workflow
Best For
- Quant researchers who want backtesting in an automated pipeline
- Developers building Agent-driven investment research workflows
- Architects designing multi-step quantitative analysis pipelines
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.