RRepoGEO

REPOGEO REPORT · LITE

DemonDamon/FinnewsHunter

Default branch main · commit d7a20a1f · scanned 5/26/2026, 10:17:35 PM

GitHub: 1,427 stars · 327 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 DemonDamon/FinnewsHunter, 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
    Reposition the README's opening paragraph to emphasize 'platform' and 'quantitative trading'

    Why:

    CURRENT
    An enterprise-grade financial news analysis system built on the AgenticX framework, integrating real-time news streams, deep quantitative analysis, and multi-agent debate mechanisms.
    COPY-PASTE FIX
    FinnewsHunter is an **enterprise-grade, multi-agent financial intelligence platform** built on AgenticX, providing real-time news analysis, sentiment fusion, and **actionable alpha signals for quantitative trading.** It is a complete system, not a generic NLP library.
  • mediumabout#2
    Refine the 'About' description to highlight its enterprise-grade platform nature for quantitative trading

    Why:

    CURRENT
    FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining.
    COPY-PASTE FIX
    FinnewsHunter: An enterprise-grade, multi-agent financial intelligence platform powered by AgenticX, delivering real-time news analysis, sentiment fusion, and alpha factor mining for quantitative trading and investment decision-making.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com

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 DemonDamon/FinnewsHunter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. nltk/nltk · recommended 1×
  3. explosion/spaCy · recommended 1×
  4. scikit-learn/scikit-learn · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How can I build a system for real-time financial news analysis and sentiment for trading?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. NLTK (nltk/nltk)
    3. spaCy (explosion/spaCy)
    4. scikit-learn (scikit-learn/scikit-learn)
    5. Transformers (Hugging Face) (huggingface/transformers)
    6. requests (psf/requests)
    7. BeautifulSoup (crummy/BeautifulSoup)
    8. NewsAPI
    9. Alpha Vantage
    10. Financial Modeling Prep
    11. Kafka (apache/kafka)
    12. RabbitMQ (rabbitmq/rabbitmq-server)
    13. VADER (cjhutto/vaderSentiment)
    14. BERT
    15. RoBERTa
    16. FinBERT
    17. Apache Flink (apache/flink)
    18. Apache Spark Streaming (apache/spark)
    19. PostgreSQL (postgres/postgres)
    20. MongoDB (mongodb/mongo)
    21. Google Cloud Natural Language API
    22. AWS Comprehend
    23. Azure Text Analytics
    24. Google Cloud Client Library for Python (googleapis/google-cloud-python)
    25. Google Cloud Pub/Sub
    26. AWS Kinesis
    27. Azure Event Hubs
    28. Google Cloud Firestore
    29. AWS DynamoDB
    30. Azure Cosmos DB
    31. Symbl.ai
    32. MeaningCloud
    33. IBM Watson Natural Language Understanding
    34. QuantConnect
    35. Quantopian
    36. Elastic Stack
    37. Elasticsearch (elastic/elasticsearch)
    38. Logstash (elastic/logstash)
    39. Kibana (elastic/kibana)

    AI recommended 39 alternatives but never named DemonDamon/FinnewsHunter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help build multi-agent systems for quantitative financial market analysis?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. Anylogic
    3. NetLogo
    4. GAMA Platform
    5. Repast Simphony
    6. HARK
    7. OpenFisca

    AI recommended 7 alternatives but never named DemonDamon/FinnewsHunter. 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 DemonDamon/FinnewsHunter?
    pass
    AI named DemonDamon/FinnewsHunter explicitly

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

  • If a team adopts DemonDamon/FinnewsHunter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DemonDamon/FinnewsHunter 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 DemonDamon/FinnewsHunter solve, and who is the primary audience?
    pass
    AI did not name DemonDamon/FinnewsHunter — 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?

Embed your GEO score

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DemonDamon/FinnewsHunter — 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