RRepoGEO

REPOGEO REPORT · LITE

garagesteve1155/PowerTrader_AI

Default branch main · commit 36cf9fdb · scanned 6/4/2026, 1:02:57 AM

GitHub: 760 stars · 310 forks

AI VISIBILITY SCORE
35 /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
3 / 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 garagesteve1155/PowerTrader_AI, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    crypto-trading, trading-bot, ai-trading, dollar-cost-averaging, dca, algorithmic-trading, python, cryptocurrency
  • highreadme#2
    Strengthen the README's opening statement for AI categorization

    Why:

    CURRENT
    # PowerTrader_AI
    Fully automated crypto trading powered by a custom price prediction AI and a structured/tiered DCA system.
    
    I have not checked any PowerTrader AI forks and cannot confirm or deny their legitimacy.
    
    This is my personal trading bot that I decided to make open source. I made this strategy to match my personal goals. This system is meant to be a foundation/framework for you to build your dream bot! You are responsible for all financial and security risks associated with PowerTrader AI.
    COPY-PASTE FIX
    # PowerTrader_AI: An AI-Powered Crypto Trading Bot Framework
    
    PowerTrader_AI is a fully automated, open-source crypto trading bot framework. It combines a custom price prediction AI with a structured, tiered Dollar-Cost Averaging (DCA) system, designed as a foundation for developers and quantitative traders to build and customize their own AI-driven trading strategies. You are responsible for all financial and security risks associated with PowerTrader AI.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://PowerTrader.net

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 garagesteve1155/PowerTrader_AI
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Lean Engine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Lean Engine · recommended 2×
  2. Freqtrade · recommended 2×
  3. Jesse · recommended 2×
  4. scikit-learn · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How to build an automated crypto trading bot with AI price prediction and DCA?
    you: not recommended
    AI recommended (in order):
    1. scikit-learn
    2. TensorFlow
    3. Keras
    4. pandas
    5. NumPy
    6. ccxt
    7. QuantConnect
    8. Lean Engine
    9. Freqtrade
    10. Jesse
    11. Alpaca API
    12. KuCoin API
    13. Binance API

    AI recommended 13 alternatives but never named garagesteve1155/PowerTrader_AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source framework for AI-driven crypto trading with a dollar-cost averaging strategy.
    you: not recommended
    AI recommended (in order):
    1. Freqtrade
    2. Hummingbot
    3. Jesse
    4. Lean Engine
    5. Pionex Grid Trading Bot

    AI recommended 5 alternatives but never named garagesteve1155/PowerTrader_AI. 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 garagesteve1155/PowerTrader_AI?
    pass
    AI named garagesteve1155/PowerTrader_AI explicitly

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

  • If a team adopts garagesteve1155/PowerTrader_AI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named garagesteve1155/PowerTrader_AI 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 garagesteve1155/PowerTrader_AI solve, and who is the primary audience?
    pass
    AI named garagesteve1155/PowerTrader_AI 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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