RRepoGEO

REPOGEO REPORT · LITE

AI4Finance-Foundation/FinRL-Meta

Default branch master · commit 15405db8 · scanned 5/17/2026, 2:42:35 AM

GitHub: 1,881 stars · 747 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 AI4Finance-Foundation/FinRL-Meta, 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 opening to emphasize standalone value as a DRL financial environment and benchmark tool

    Why:

    CURRENT
    FinRL®-Meta: A Metaverse of Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
> Part of the **FinRL ecosystem**. For the next-generation production-oriented trading stack, see **FinRL-X / FinRL-Trading**.
    COPY-PASTE FIX
    FinRL®-Meta: A comprehensive suite of market environments and benchmarks for data-driven financial reinforcement learning. This project provides a standalone, reproducible platform for developing, evaluating, and comparing DRL trading agents across diverse financial tasks. It is a core component of the FinRL ecosystem, designed for researchers and practitioners in quantitative finance.
  • mediumtopics#2
    Add more specific topics related to financial simulation and benchmarking

    Why:

    CURRENT
    deep-reinforcement-learning, drl-trading-agents, finance, finrl-library, fintech, openai, openai-gym-environments
    COPY-PASTE FIX
    deep-reinforcement-learning, drl-trading-agents, finance, finrl-library, fintech, openai, openai-gym-environments, financial-simulation, trading-environments, reinforcement-learning-benchmarks, quantitative-finance, algorithmic-trading
  • mediumabout#3
    Update the repository description to reflect its broader utility as a DRL financial environment and benchmark

    Why:

    CURRENT
    FinRL®-Meta: Dynamic datasets and market environments for FinRL.
    COPY-PASTE FIX
    FinRL®-Meta provides a universe of dynamic market environments and benchmarks for data-driven financial reinforcement learning, enabling easy development, evaluation, and comparison of DRL trading agents.

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 AI4Finance-Foundation/FinRL-Meta
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect/Lean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. openai/gym · recommended 1×
  3. AminHP/gym-anytrading · recommended 1×
  4. AI4Finance-LLC/FinRL · recommended 1×
  5. mementum/backtrader · recommended 1×
  • CATEGORY QUERY
    What are good simulation environments for developing and testing deep reinforcement learning trading agents?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean) (QuantConnect/Lean)
    2. OpenAI Gym (openai/gym)
    3. gym-anytrading (AminHP/gym-anytrading)
    4. FinRL (AI4Finance-LLC/FinRL)
    5. Backtrader (mementum/backtrader)
    6. TensorTrade (tensortrade-org/tensortrade)
    7. Finetrade (microsoft/finetrade)
    8. TradingGym (trading-gym/trading-gym)

    AI recommended 8 alternatives but never named AI4Finance-Foundation/FinRL-Meta. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for tools to benchmark and compare different DRL algorithms for financial market tasks.
    you: not recommended
    AI recommended (in order):
    1. FinRL
    2. Stable Baselines3
    3. PyTorch
    4. Ray RLlib
    5. Ray
    6. OpenAI Gym
    7. TensorFlow
    8. QuantConnect

    AI recommended 8 alternatives but never named AI4Finance-Foundation/FinRL-Meta. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 AI4Finance-Foundation/FinRL-Meta?
    pass
    AI named AI4Finance-Foundation/FinRL-Meta explicitly

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

  • If a team adopts AI4Finance-Foundation/FinRL-Meta in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AI4Finance-Foundation/FinRL-Meta 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 AI4Finance-Foundation/FinRL-Meta solve, and who is the primary audience?
    pass
    AI named AI4Finance-Foundation/FinRL-Meta explicitly

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

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AI4Finance-Foundation/FinRL-Meta — RepoGEO report