RRepoGEO

REPOGEO REPORT · LITE

khscience/OSkhQuant

Default branch main · commit 7228f557 · scanned 5/9/2026, 12:22:17 PM

GitHub: 1,177 stars · 361 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface khscience/OSkhQuant, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clearly state the project's core purpose

    Why:

    CURRENT
    # 看海量化交易系统 (KHQuant) - 快速入门手册

> **注意**: 本文档是看海量化交易系统 (KHQuant) 的快速入门指南，内容节选自官方文档的第一至四章。我们强烈建议您访问看海量化官方网站以获取最新、最完整的用户手册和更多高级功能。

## 📖 关于本开源代码

本仓库提供的是看海量化交易系统的**完整程序源码**，面向具备一定编程基础的开发者和量化研究人员。
    COPY-PASTE FIX
    # KHQuant: 开源A股量化回测与交易系统 (Kanhai Quantitative Trading System)

本仓库提供 **KHQuant (看海量化交易系统)** 的完整开源代码，这是一个专为A股市场设计的**可视化量化回测与交易系统**。它使开发者和量化研究人员能够利用Python生态系统，包括深度学习和信号处理算法，构建、回测和执行复杂的股票交易策略。

> **注意**: 本文档是KHQuant的快速入门指南，内容节选自官方文档的第一至四章。我们强烈建议您访问看海量化官方网站以获取最新、最完整的用户手册和更多高级功能。
  • mediumreadme#2
    Add a clear statement about the project's license in the README

    Why:

    COPY-PASTE FIX
    ## 📄 许可协议

本项目的源代码遵循 [在此处填写实际的许可名称，例如：自定义许可协议] 许可。请参阅仓库根目录下的 `LICENSE` 文件以获取完整详情。

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface khscience/OSkhQuant
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
quantopian/zipline
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. quantopian/zipline · recommended 1×
  2. mementum/backtrader · recommended 1×
  3. gbeced/pyalgotrade · recommended 1×
  4. enigmampc/catalyst · recommended 1×
  5. QuantConnect/Lean · recommended 1×
  • CATEGORY QUERY
    What open-source quantitative backtesting frameworks are available for stock market strategies?
    you: not recommended
    AI recommended (in order):
    1. Zipline (quantopian/zipline)
    2. Backtrader (mementum/backtrader)
    3. PyAlgoTrade (gbeced/pyalgotrade)
    4. Catalyst (enigmampc/catalyst)
    5. Lean Engine (QuantConnect/Lean)
    6. QuantLib (quantlib/quantlib)

    AI recommended 6 alternatives but never named khscience/OSkhQuant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an easy-to-use, open-source platform for visualizing A-share trading strategy performance.
    you: not recommended
    AI recommended (in order):
    1. Backtrader
    2. Lean Engine
    3. Zipline
    4. Pyfolio
    5. TA-Lib
    6. Plotly Dash

    AI recommended 6 alternatives but never named khscience/OSkhQuant. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of khscience/OSkhQuant?
    pass
    AI named khscience/OSkhQuant explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts khscience/OSkhQuant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named khscience/OSkhQuant explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo khscience/OSkhQuant solve, and who is the primary audience?
    pass
    AI named khscience/OSkhQuant explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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khscience/OSkhQuant — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite