RRepoGEO

REPOGEO REPORT · LITE

Gajesh2007/ai-trading-agent

Default branch master · commit bc14127d · scanned 6/4/2026, 6:43:17 AM

GitHub: 513 stars · 145 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Gajesh2007/ai-trading-agent, 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 README H1 and first sentence to emphasize LLM and autonomous agent

    Why:

    CURRENT
    # Nocturne: AI Trading Agent on Hyperliquid

This project implements an AI-powered trading agent that leverages LLM models to analyze real-time market data from TAAPI, make informed trading decisions, and execute trades on the Hyperliquid decentralized exchange.
    COPY-PASTE FIX
    # Nocturne: Autonomous LLM Trading Agent for Hyperliquid

Nocturne is an autonomous, end-to-end AI trading agent that leverages advanced LLM models to analyze real-time market data, make informed trading decisions, and execute trades on the Hyperliquid decentralized exchange.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, a live demo, or a detailed documentation page) to the 'Homepage' field in the repository's 'About' section.

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 Gajesh2007/ai-trading-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ccxt/ccxt
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ccxt/ccxt · recommended 1×
  2. influxdata/influxdb · recommended 1×
  3. PostgreSQL · recommended 1×
  4. pytorch/pytorch · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent to automate cryptocurrency trading decisions?
    you: not recommended
    AI recommended (in order):
    1. CCXT (ccxt/ccxt)
    2. InfluxDB (influxdata/influxdb)
    3. PostgreSQL
    4. PyTorch (pytorch/pytorch)
    5. TensorFlow (tensorflow/tensorflow)
    6. scikit-learn (scikit-learn/scikit-learn)
    7. Backtrader (mementum/backtrader)
    8. Lean Engine (QuantConnect/Lean)
    9. Docker
    10. Kubernetes (kubernetes/kubernetes)
    11. RabbitMQ
    12. Apache Kafka

    AI recommended 12 alternatives but never named Gajesh2007/ai-trading-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help execute LLM-driven trading strategies on decentralized crypto exchanges?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI API
    3. Anthropic API
    4. Google Gemini API
    5. Web3.py
    6. Ethers.js
    7. Brownie
    8. Hardhat
    9. The Graph
    10. Uniswap SDK
    11. PancakeSwap SDK
    12. Infura
    13. Alchemy

    AI recommended 13 alternatives but never named Gajesh2007/ai-trading-agent. 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 Gajesh2007/ai-trading-agent?
    pass
    AI did not name Gajesh2007/ai-trading-agent — 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 Gajesh2007/ai-trading-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Gajesh2007/ai-trading-agent 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 Gajesh2007/ai-trading-agent solve, and who is the primary audience?
    pass
    AI did not name Gajesh2007/ai-trading-agent — 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?

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Gajesh2007/ai-trading-agent — 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