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goldspanlabs/optopsy

默认分支 main · commit 40bb8b2a · 扫描时间 2026/5/14 16:36:57

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AI 可见性总分
40 /100
亟需修复
品类召回
0 / 2
在所有问题中均未被推荐
规则结果
通过 2 · 警告 0 · 失败 0
客观元数据检查
AI 认识你的名字
3 / 3
直接询问时,AI 是否点名你的仓库
如何阅读这份报告

行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 goldspanlabs/optopsy 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。

行动计划 — 可复制粘贴的修复

3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。

整体方向
  • highreadme#1
    Clarify core purpose in README's opening sentence and de-emphasize LLM integration

    原因:

    当前
    A nimble backtesting and statistics library for options strategies.
    
    Optopsy is a Python backtesting engine that lets you go from "How do 45-DTE iron condors on SPX perform with a 50% profit target and 2x stop loss vs holding to expiration?" to detailed performance statistics in seconds, not spreadsheets.
    
    Full Documentation | API Reference | Examples
    
    ## 🤖 Looking for AI/LLM integration?
    
    optopsy-mcp provides a high-performance MCP server for strategy screening and backtesting. Powered by a complete Rust rewrite of the Optopsy engine, it is specifically built for seamless interaction with Large Language Models.
    复制粘贴的修复
    Optopsy is a nimble Python library for options research and backtesting, enabling rapid simulation and analysis of complex options strategies.
    
    Go from "How do 45-DTE iron condors on SPX perform with a 50% profit target and 2x stop loss vs holding to expiration?" to detailed performance statistics in seconds, not spreadsheets.
    
    Full Documentation | API Reference | Examples
    
    ---
    
    **Note on AI/LLM Integration:** For high-performance strategy screening and backtesting with Large Language Models, consider `optopsy-mcp`, a related project powered by a Rust rewrite of the Optopsy engine.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in the README

    原因:

    复制粘贴的修复
    ## 🆚 Comparison to Alternatives
    
    While general backtesting frameworks like Backtrader or QuantConnect (Lean Engine) offer broad capabilities, Optopsy is purpose-built for the unique complexities of options trading. Unlike these platforms, Optopsy focuses specifically on:
    
    *   **Options-centric Design:** Native support for complex multi-leg options strategies, delta targeting, and options-specific risk metrics.
    *   **Rapid Iteration:** Designed for quick exploration and backtesting of options hypotheses without extensive setup.
    *   **Pythonic Interface:** Integrates seamlessly with the Python data science ecosystem (e.g., Pandas DataFrames) for post-analysis.
    
    Optopsy is not a full-fledged brokerage integration platform but a focused research and backtesting engine for options.
  • lowabout#3
    Expand the repository description for better keyword matching

    原因:

    当前
    A nimble options research and backtesting library for Python
    复制粘贴的修复
    A nimble Python library for options research and backtesting, enabling rapid simulation and analysis of complex options trading strategies, including multi-leg spreads and risk metrics.

本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash

品类可见性 — 真正的 GEO 测试

向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?

各模型使用同一组问题 — 切换标签对比回答与排名。

召回
0 / 2
0% 的问题里出现了 goldspanlabs/optopsy
平均排名
越小越好。#1 表示首位推荐。
声量占比
0%
在所有被点名的工具中,你占了多少?
头号对手
QuantConnect/Lean
在 2 个问题中被推荐 1 次
竞品排行
  1. QuantConnect/Lean · 被推荐 1 次
  2. quantopian/zipline · 被推荐 1 次
  3. mementum/backtrader · 被推荐 1 次
  4. quantopian/pyfolio · 被推荐 1 次
  5. pandas-dev/pandas · 被推荐 1 次
  • 品类问题
    What Python library helps backtest complex options trading strategies efficiently?
    你:未被推荐
    AI 推荐顺序:
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Quantopian (Zipline) (quantopian/zipline)
    3. Backtrader (mementum/backtrader)
    4. Pyfolio (quantopian/pyfolio)
    5. Pandas (pandas-dev/pandas)
    6. QuantLib-Python (lballabio/quantlib-python)
    7. Py_vollib (vollib/py_vollib)

    AI 推荐了 7 个替代方案,却始终没点名 goldspanlabs/optopsy。这就是要补上的差距。

    查看 AI 完整回答
  • 品类问题
    Seeking a fast Python tool for simulating and analyzing options strategy performance metrics.
    你:未被推荐
    AI 推荐顺序:
    1. QuantLib
    2. Py_vollib
    3. Pandas
    4. NumPy
    5. Backtrader
    6. QuantConnect
    7. Optiver's Black-Scholes Library

    AI 推荐了 7 个替代方案,却始终没点名 goldspanlabs/optopsy。这就是要补上的差距。

    查看 AI 完整回答

客观检查

针对 AI 引擎最看重的元数据信号的规则审计。

  • Metadata completeness
    pass

  • README presence
    pass

自指检查

当被直接问到你时,AI 是否还知道你的仓库存在?

  • Compared to common alternatives in this category, what is the core differentiator of goldspanlabs/optopsy?
    pass
    AI 明确点名了 goldspanlabs/optopsy

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • If a team adopts goldspanlabs/optopsy in production, what risks or prerequisites should they evaluate first?
    pass
    AI 明确点名了 goldspanlabs/optopsy

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

  • In one sentence, what problem does the repo goldspanlabs/optopsy solve, and who is the primary audience?
    pass
    AI 明确点名了 goldspanlabs/optopsy

    AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?

嵌入你的 GEO 徽章

把这个徽章贴进 goldspanlabs/optopsy 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。

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goldspanlabs/optopsy — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。

  • 深度报告每月 10 次
  • 无品牌品类查询5,轻量 2
  • 优先行动项8,轻量 3