RRepoGEO

REPOGEO REPORT · LITE

AlgoTraders/stock-analysis-engine

Default branch master · commit 10d296b8 · scanned 5/22/2026, 4:45:23 PM

GitHub: 1,220 stars · 270 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
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 AlgoTraders/stock-analysis-engine, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that accurately reflects the project's intended usage and contribution model.
  • highreadme#2
    Strengthen README's opening to highlight unique combination

    Why:

    CURRENT
    Stock Analysis Engine Build and tune investment algorithms for use with `artificial intelligence (deep neural networks)`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud`__, `Tradier`__ and `FinViz`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more).
    COPY-PASTE FIX
    Stock Analysis Engine: A distributed platform for backtesting minute-by-minute trading algorithms and generating AI training datasets. It integrates automated pricing data from IEX Cloud, Tradier, and FinViz, and runs on Kubernetes and Docker-compose, making it ideal for training deep neural networks to trade.
  • mediumabout#3
    Refine the 'About' description for conciseness and impact

    Why:

    CURRENT
    Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
    COPY-PASTE FIX
    A distributed engine for backtesting minute-by-minute trading algorithms and generating AI training datasets. Integrates automated pricing from IEX, Tradier, FinViz, publishes to S3, and runs on Kubernetes/Docker-compose for scalable deep learning model training.

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 AlgoTraders/stock-analysis-engine
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 3×
  2. pytorch/pytorch · recommended 3×
  3. tensorflow/tensorflow · recommended 2×
  4. QuantConnect/Lean · recommended 1×
  5. mementum/backtrader · recommended 1×
  • CATEGORY QUERY
    Need a tool to backtest minute-by-minute trading strategies and generate AI training datasets.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Backtrader (mementum/backtrader)
    3. Zipline (quantopian/zipline)
    4. MetaTrader 5
    5. PyAlgoTrade (gbeced/pyalgotrade)
    6. TradingView

    AI recommended 6 alternatives but never named AlgoTraders/stock-analysis-engine. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What distributed platform can I use for training deep learning models with market data?
    you: not recommended
    AI recommended (in order):
    1. Ray (ray-project/ray)
    2. Ray Train (ray-project/ray)
    3. Ray Data (ray-project/ray)
    4. AWS SageMaker Distributed Training
    5. Google Cloud Vertex AI
    6. PyTorch Distributed (pytorch/pytorch)
    7. DistributedDataParallel (pytorch/pytorch)
    8. FullyShardedDataParallel (pytorch/pytorch)
    9. TensorFlow Distributed (tensorflow/tensorflow)
    10. tf.distribute (tensorflow/tensorflow)
    11. Databricks
    12. Delta Lake (delta-io/delta)
    13. MLflow (mlflow/mlflow)
    14. H2O.ai
    15. H2O-3 (h2oai/h2o-3)
    16. H2O Driverless AI

    AI recommended 16 alternatives but never named AlgoTraders/stock-analysis-engine. 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 AlgoTraders/stock-analysis-engine?
    pass
    AI did not name AlgoTraders/stock-analysis-engine — 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 AlgoTraders/stock-analysis-engine in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AlgoTraders/stock-analysis-engine 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 AlgoTraders/stock-analysis-engine solve, and who is the primary audience?
    pass
    AI named AlgoTraders/stock-analysis-engine explicitly

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

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AlgoTraders/stock-analysis-engine — 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