REPOGEO REPORT · LITE

ICT-FinD-Lab/alphagen

Default branch master · commit 1c187544 · scanned 5/17/2026, 7:22:41 AM

GitHub: 1,091 stars · 305 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

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 ICT-FinD-Lab/alphagen, 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 clarify application domain

Why:

CURRENT

Automatic formulaic alpha generation with reinforcement learning.

COPY-PASTE FIX

AlphaGen is a research framework for automatically generating novel, formulaic stock alpha factors using advanced reinforcement learning and large language models (LLMs). It provides tools for quantitative researchers to discover predictive trading signals, distinct from general-purpose ML libraries or trading platforms.

mediumlicense#2

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, for example, using the MIT License template.

mediumhomepage#3

Add a homepage URL to the repository's About section

Why:

COPY-PASTE FIX

Set the homepage URL to the associated KDD 2023 paper on ACM DL: https://dl.acm.org/doi/10.1145/3580305.3599400

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 ICT-FinD-Lab/alphagen

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Alpaca Trade API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Alpaca Trade API · recommended 1×
QuantConnect/Lean · recommended 1×
quantopian/zipline · recommended 1×
pytorch/pytorch · recommended 1×
tensorflow/tensorflow · recommended 1×

CATEGORY QUERY
How can I automatically generate new predictive alpha factors for stock trading strategies?
you: not recommended
AI recommended (in order):
1. Alpaca Trade API
2. QuantConnect (Lean) (QuantConnect/Lean)
3. Zipline (quantopian/zipline)
4. PyTorch (pytorch/pytorch)
5. TensorFlow (tensorflow/tensorflow)
6. Keras (keras-team/keras)
7. scikit-learn (scikit-learn/scikit-learn)
8. Featuretools (alteryx/featuretools)
9. LightGBM (microsoft/LightGBM)
10. XGBoost (dmlc/xgboost)
11. ChatGPT
12. GPT-4
AI recommended 12 alternatives but never named ICT-FinD-Lab/alphagen. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best methods for discovering novel quantitative trading signals with AI?
you: not recommended
AI recommended (in order):
1. Ray RLlib
2. Stable Baselines3
3. OpenAI Gym
4. Farama Gymnasium
5. PyTorch
6. TensorFlow
7. CTGAN
8. Keras
9. PyTorch Forecasting
10. Prophet
11. PyTorch Geometric
12. Deep Graph Library
13. DoWhy
14. EconML
15. Hugging Face Transformers
16. spaCy
AI recommended 16 alternatives but never named ICT-FinD-Lab/alphagen. 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 ICT-FinD-Lab/alphagen?
pass
AI named ICT-FinD-Lab/alphagen explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts ICT-FinD-Lab/alphagen in production, what risks or prerequisites should they evaluate first?
pass
AI named ICT-FinD-Lab/alphagen 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 ICT-FinD-Lab/alphagen solve, and who is the primary audience?
pass
AI named ICT-FinD-Lab/alphagen 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 ICT-FinD-Lab/alphagen. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ICT-FinD-Lab/alphagen.svg)](https://repogeo.com/en/r/ICT-FinD-Lab/alphagen)

HTML

<a href="https://repogeo.com/en/r/ICT-FinD-Lab/alphagen"><img src="https://repogeo.com/badge/ICT-FinD-Lab/alphagen.svg" alt="RepoGEO" /></a>

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ICT-FinD-Lab/alphagen — 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