RRepoGEO

REPOGEO REPORT · LITE

borisbanushev/stockpredictionai

Default branch master · commit fc83ea9a · scanned 6/29/2026, 12:58:28 PM

GitHub: 5,578 stars · 1,888 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 borisbanushev/stockpredictionai, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    stock-prediction, gan, lstm, reinforcement-learning, time-series, financial-forecasting, machine-learning, deep-learning, python, jupyter-notebook
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Consider a permissive license like MIT or Apache-2.0, or a copyleft license like GPL-3.0, based on your project's intent.
  • mediumreadme#3
    Refine the README's H1 to emphasize its nature as a notebook and highlight key techniques

    Why:

    CURRENT
    # Using the latest advancements in AI to predict stock market movements
    COPY-PASTE FIX
    # Stock Market Prediction Notebook: GANs, LSTMs, and Reinforcement Learning for Time Series Forecasting

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 borisbanushev/stockpredictionai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 1×
  2. PyTorch · recommended 1×
  3. scikit-learn · recommended 1×
  4. Prophet · recommended 1×
  5. Statsmodels · recommended 1×
  • CATEGORY QUERY
    Seeking tools for accurate stock market movement prediction using advanced AI techniques.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. scikit-learn
    4. Prophet
    5. Statsmodels
    6. QuantConnect Lean

    AI recommended 6 alternatives but never named borisbanushev/stockpredictionai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to apply generative adversarial networks and LSTMs for financial time series forecasting?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow (tensorflow/tensorflow)
    2. PyTorch (pytorch/pytorch)
    3. scikit-learn (scikit-learn/scikit-learn)
    4. Pandas (pandas-dev/pandas)
    5. NumPy (numpy/numpy)
    6. Matplotlib (matplotlib/matplotlib)
    7. Seaborn (mwaskom/seaborn)
    8. Statsmodels (statsmodels/statsmodels)

    AI recommended 8 alternatives but never named borisbanushev/stockpredictionai. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 borisbanushev/stockpredictionai?
    pass
    AI named borisbanushev/stockpredictionai explicitly

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

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

Drop this badge into the README of borisbanushev/stockpredictionai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/borisbanushev/stockpredictionai.svg)](https://repogeo.com/en/r/borisbanushev/stockpredictionai)
HTML
<a href="https://repogeo.com/en/r/borisbanushev/stockpredictionai"><img src="https://repogeo.com/badge/borisbanushev/stockpredictionai.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

borisbanushev/stockpredictionai — 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