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dsh-quant

DeepSeek Harness Tools & Capabilities Low risk

Quantitative R&D toolkit for DeepSeek Harness — 59 tools across six domains covering market data, indicators, factor evaluation, walk-forward ML validation, risk (VaR/CVaR/drawdown/Beta with Kupiec POF), options, bonds, FICC and fund simulation, with an end-to-end PDAT→PET research pipeline.

面向 DeepSeek Harness 的量化研发工具箱,59 个工具覆盖行情、指标、因子评价、滚动样本外机器学习验证、风险(VaR/CVaR/回撤/Beta 与 Kupiec POF)、期权、债券、FICC 和基金模拟,并提供端到端 PDAT→PET 研究管线。

How to install

DeepSeek Harness dsh plugin add dsh-quant

About

dsh-quant(DeepQuant Harness) 🌐 **官网**:https://dsh-quant-site.pages.dev · ✅ 已收录 awesome-dsh-plugin(dsh-market 插件市场可一键安装) 给 dsh 模型的一组量化工具:行情数据获取(Binance 公共 API)+ 技术指标计算(SMA / EMA / RSI / MACD / 布林带 / ATR / KDJ / W%R / CCI / OBV / ADX / ROC)+ 三大策略回测(双均线交叉 / 布林带突破 / RSI 均值回归)+ 资金管理(止损/止盈)。 定位:**dsh 好用的 quant 研究工程(research & engineering 助手)**——R&D 是 dsh-quant 的核心: 量化场景的 agent 需要"取数据 → 算指标 → 回测"的完整链路,A 股数据走渠道导航(本插件提供 渠道知识,不提供数据 API、不为数据付费)。 **欢迎 PR,定期 merge!** 特别是数据检测与标注维度——缺值/异常/跳变/OHLCV 合法性/时间戳/冻结等常见维度已实现,欢迎贡献更多检测与标注规则(见 GitHub Issue 关于数据检测与标注的征集帖)。 只要符合 CONTRIBUTING.md 的契约清单即可提交; fork/pull 下来 → …

Recommendation signals

61 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
61 Overall
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Meta

License
MIT
Language
TypeScript
GitHub stars
43
mo. downloads
4.3K
Last push
2026-09-23
Created
2026-08-16

Links

GitHub ↗ npm ↗ Report issue ↗

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin, curated:0xsline/awesome-deepseek-harness
Topics
ai-agents, algorithmic-trading, backtesting, deepseek, deepseek-harness, dsh, dsh-plugin, factor-investing, finance, llm, quant, quantitative-finance, risk-management, technical-analysis, trading

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