RRepoGEO

REPOGEO REPORT · LITE

deependersingla/deep_trader

Default branch master · commit 82af6ba5 · scanned 5/22/2026, 9:58:31 PM

GitHub: 1,494 stars · 498 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 deependersingla/deep_trader, 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 improve categorization

    Why:

    COPY-PASTE FIX
    reinforcement-learning, algorithmic-trading, stock-market, deep-learning, dqn, policy-gradient, quantitative-finance, jesse-livermore
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and add its text to the file.
  • mediumreadme#3
    Streamline the README's opening to focus on the active project

    Why:

    CURRENT
    # Reinforcement-trading This project uses Reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore and one of the best human i know Ryan Booth https://github.com/ryanabooth. One Point to note, the code inside tensor-reinforcement is the latest code and you should be reading/running if you are interested in project. Leave other directories, I am not working on them for now<br>.
    COPY-PASTE FIX
    # Deep Trader: Reinforcement Learning for Stock Market Trading
This project explores the application of deep reinforcement learning to automate stock market trading, with the goal of developing an agent that can learn optimal trading strategies from market data. Inspired by the legendary Jesse Livermore, this repository primarily focuses on the `tensor-reinforcement` directory, which contains the latest and most relevant code for those interested in the project.

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 deependersingla/deep_trader
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 1×
  2. ray-project/ray · recommended 1×
  3. openai/gym · recommended 1×
  4. mementum/backtrader · recommended 1×
  5. QuantConnect/Lean · recommended 1×
  • CATEGORY QUERY
    How to apply reinforcement learning for automated stock market trading strategies?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. Ray RLlib (ray-project/ray)
    3. OpenAI Gym (openai/gym)
    4. Backtrader (mementum/backtrader)
    5. QuantConnect (Lean Engine) (QuantConnect/Lean)
    6. TensorFlow (tensorflow/tensorflow)
    7. PyTorch (pytorch/pytorch)

    AI recommended 7 alternatives but never named deependersingla/deep_trader. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for building AI agents to learn optimal trading decisions from market data.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Farama Foundation Gym
    3. Stable Baselines3 (SB3)
    4. Ray RLlib
    5. QuantConnect (Lean Engine)
    6. TensorFlow
    7. PyTorch
    8. FinRL

    AI recommended 8 alternatives but never named deependersingla/deep_trader. 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 deependersingla/deep_trader?
    pass
    AI did not name deependersingla/deep_trader — 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 deependersingla/deep_trader in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deependersingla/deep_trader 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 deependersingla/deep_trader solve, and who is the primary audience?
    pass
    AI named deependersingla/deep_trader explicitly

    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 deependersingla/deep_trader. 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/deependersingla/deep_trader.svg)](https://repogeo.com/en/r/deependersingla/deep_trader)
HTML
<a href="https://repogeo.com/en/r/deependersingla/deep_trader"><img src="https://repogeo.com/badge/deependersingla/deep_trader.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

deependersingla/deep_trader — 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