REPOGEO REPORT · LITE
firmai/financial-machine-learning
Default branch master · commit a0fda6ac · scanned 5/12/2026, 2:18:24 AM
GitHub: 8,548 stars · 1,394 forks
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 firmai/financial-machine-learning, 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.
- highreadme#1Reposition README opening to clearly state project's purpose
Why:
CURRENTThe README currently starts with badges, followed by '🌟 We Are Growing!' and '🚀 About Sov.ai'.
COPY-PASTE FIXAdd the following sentence as the very first content in the README (after any badges): 'This repository is a curated list of practical financial machine learning tools and applications, designed for quantitative finance practitioners, researchers, and data scientists.'
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the root of the repository with the text of a permissive open-source license, such as the MIT License. For example: ``` MIT License Copyright (c) [YEAR] [COPYRIGHT HOLDER] Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ```
- mediumhomepage#3Update the repository homepage URL
Why:
CURRENThttps://www.sov.ai/
COPY-PASTE FIXUpdate the `Homepage` URL in the repository settings to `https://github.com/firmai/financial-machine-learning` to directly link to the project itself.
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.
- Zipline · recommended 2×
- Python · recommended 1×
- scikit-learn · recommended 1×
- pandas · recommended 1×
- matplotlib · recommended 1×
- CATEGORY QUERYHow can I apply machine learning to develop profitable stock market trading strategies?you: not recommendedAI recommended (in order):
- Python
- scikit-learn
- pandas
- matplotlib
- seaborn
- numpy
- QuantConnect
- Zipline
- Quantopian
- TensorFlow
- PyTorch
- Keras
- Alpaca Markets
- Interactive Brokers
- TD Ameritrade
- Charles Schwab
- Optuna
- Hyperopt
AI recommended 18 alternatives but never named firmai/financial-machine-learning. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best open-source tools for financial machine learning and algorithmic trading?you: not recommendedAI recommended (in order):
- Zipline
- Backtrader
- Lean Engine
- PyAlgoTrade
- Catalyst
- TA-Lib
- Scikit-learn
AI recommended 7 alternatives but never named firmai/financial-machine-learning. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 firmai/financial-machine-learning?passAI did not name firmai/financial-machine-learning — 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 firmai/financial-machine-learning in production, what risks or prerequisites should they evaluate first?passAI named firmai/financial-machine-learning 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 firmai/financial-machine-learning solve, and who is the primary audience?passAI did not name firmai/financial-machine-learning — 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 firmai/financial-machine-learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/firmai/financial-machine-learning)<a href="https://repogeo.com/en/r/firmai/financial-machine-learning"><img src="https://repogeo.com/badge/firmai/financial-machine-learning.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
firmai/financial-machine-learning — 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