RRepoGEO

REPOGEO REPORT · LITE

koreainvestment/open-trading-api

Default branch main · commit 33e0e1e6 · scanned 5/24/2026, 10:22:44 PM

GitHub: 1,411 stars · 745 forks

AI VISIBILITY SCORE
28 /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
2 / 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 koreainvestment/open-trading-api, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clear English positioning statement to the README

    Why:

    COPY-PASTE FIX
    This repository provides official Python sample code and SDK components for the Korea Investment & Securities (KIS) Open API, designed for both traditional Python developers and LLM-driven automated trading applications.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of a standard open-source license (e.g., MIT License) to clarify usage terms.
  • mediumtopics#3
    Refine repository topics for better specificity

    Why:

    CURRENT
    ai-trading, api-samples, autotrade, chatgpt, claude, finance, investment, koreainvestment, llm, mcp, open-trading-api, openapi, python, realtime, rest-api, stock-trading, stocks, trading, trading-api, websocket
    COPY-PASTE FIX
    ai-trading, api-samples, autotrade, chatgpt, claude, finance, investment, koreainvestment, llm, mcp, open-trading-api, openapi, python, realtime, rest-api, stock-trading, stocks, trading, trading-api, websocket, korea-investment-securities, official-api, python-sdk, korean-stock-market, quant-trading-korea

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 koreainvestment/open-trading-api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Alpaca API · recommended 1×
  4. QuantConnect · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to integrate large language models with real-time stock trading APIs for automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Alpaca API
    4. QuantConnect
    5. OpenAI API
    6. Anthropic API
    7. Google Gemini API
    8. Kafka
    9. RabbitMQ
    10. Redis

    AI recommended 10 alternatives but never named koreainvestment/open-trading-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries help build and backtest automated stock trading strategies?
    you: not recommended
    AI recommended (in order):
    1. Zipline (quantopian/zipline)
    2. Backtrader (mementum/backtrader)
    3. PyAlgoTrade (gbeced/pyalgotrade)
    4. QuantConnect (Lean Engine) (QuantConnect/Lean)
    5. Catalyst (enigmampc/catalyst)
    6. Pylivetrader (alpacahq/pylivetrader)
    7. TA-Lib (Technical Analysis Library) (TA-Lib/ta-lib)

    AI recommended 7 alternatives but never named koreainvestment/open-trading-api. 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 koreainvestment/open-trading-api?
    pass
    AI did not name koreainvestment/open-trading-api — 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 koreainvestment/open-trading-api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named koreainvestment/open-trading-api 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 koreainvestment/open-trading-api solve, and who is the primary audience?
    pass
    AI named koreainvestment/open-trading-api explicitly

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

Embed your GEO score

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MARKDOWN (README)
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koreainvestment/open-trading-api — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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