shy3130/tickflow-stock-panel

• highreadme#1

  Add an explicit English summary to the README

  Why:

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  Add this sentence immediately after the main Chinese title/subtitle: "This is a self-hosted, zero-maintenance A-share quantitative workbench for stock screening, monitoring, and backtesting, powered by LLM capabilities and built with FastAPI, React, Polars, and DuckDB."

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• highhomepage#2

  Add a homepage URL to the repository settings

  Why:

  CURRENT

  (none)

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  https://github.com/shy3130/tickflow-stock-panel

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• mediumcomparison#3

  Add a 'Comparison' section to the README

  Why:

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  Add a new section, perhaps titled '与同类项目的对比 (Comparison with Similar Projects)', that expands on '明确不做' and clarifies its position relative to both commercial platforms (like 同花顺 / 通达信) and open-source libraries (like Zipline/Backtrader), emphasizing its self-hosted, LLM-driven, A-share focused *workbench* nature. For example:
  
  ## 📊 与同类项目的对比 (Comparison with Similar Projects)
  TickFlow Stock Panel 定位为面向个人散户与量化爱好者的**自托管 A 股量化工作台**。
  - **不与商业平台对标 (e.g., 同花顺 / 通达信)**: 我们不提供内置的「AI 荐股 / 涨停预测」功能，而是专注于提供一个可自定义策略、数据完全由用户掌控的工具。
  - **区别于量化库/框架 (e.g., Zipline, Backtrader)**: TickFlow Stock Panel 是一个完整的、开箱即用的**应用**，包含前端界面 (React) 和后端服务 (FastAPI)，提供选股、监控、回测的完整工作流，而非仅提供编程接口的库。

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

• CATEGORY QUERY

  What are some self-hosted platforms for A-share stock analysis and quantitative backtesting?

  you: not recommended
  AI recommended (in order):

  1. Quantopian
  2. zipline (quantopian/zipline)
  3. pandas (pandas-dev/pandas)
  4. numpy (numpy/numpy)
  5. Backtrader (mementum/backtrader)
  6. PyAlgoTrade (gbeced/pyalgotrade)
  7. Zipline (quantopian/zipline)
  8. MetaTrader 5
  9. Amibroker
  10. DolphinDB (dolphindb/DolphinDB)

  AI recommended 10 alternatives but never named shy3130/tickflow-stock-panel. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Seeking a quantitative trading workbench that uses LLMs for custom strategy generation and analysis.

  you: not recommended
  AI recommended (in order):

  1. QuantConnect (QuantConnect/Lean)
  2. Alpaca
  3. Blueshift
  4. OpenBB Terminal (OpenBB-finance/OpenBBTerminal)
  5. Zipline (quantopian/zipline)
  6. Composer
  7. OpenAI's GPT-4
  8. Google's Gemini
  9. Llama 3 (meta-llama/llama-models)

  AI recommended 9 alternatives but never named shy3130/tickflow-stock-panel. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of shy3130/tickflow-stock-panel?

  pass
  ⚠AI did not name shy3130/tickflow-stock-panel — likely talking about a different project

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

• If a team adopts shy3130/tickflow-stock-panel in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named shy3130/tickflow-stock-panel 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 shy3130/tickflow-stock-panel solve, and who is the primary audience?

  pass
  ⚠AI did not name shy3130/tickflow-stock-panel — likely talking about a different project

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