REPOGEO REPORT · LITE

whchien/ai-trader

Default branch main · commit 7681fe33 · scanned 6/17/2026, 9:22:21 AM

GitHub: 713 stars · 105 forks

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 whchien/ai-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

highreadme#1

Reposition README opening to highlight AI assistant integration

Why:

CURRENT

A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across stocks, crypto, and forex markets.

COPY-PASTE FIX

AI-Trader is a professional, config-driven backtesting framework for algorithmic trading, uniquely designed for seamless integration with AI assistants and Large Language Models (LLMs). Built on Backtrader, it allows you to test, optimize, and deploy trading strategies across stocks, crypto, and forex markets, leveraging its integrated MCP server.

mediumhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://[YOUR_PROJECT_HOMEPAGE_URL_HERE] (replace with your actual project website or documentation URL)
```

lowtopics#3

Add 'llm-integration' and 'ai-trading-platform' to topics

Why:

CURRENT

ai, ai-agents, algorithmic-trading, backtrader, cli, mcp, mcp-server, portfolio-management, quantitative-finance, stock-price-prediction, trading

COPY-PASTE FIX

ai, ai-agents, algorithmic-trading, backtrader, cli, llm-integration, mcp, mcp-server, portfolio-management, quantitative-finance, stock-price-prediction, trading, ai-trading-platform

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 whchien/ai-trader

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

QuantConnect/Lean

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

QuantConnect/Lean · recommended 2×
quantopian/zipline · recommended 2×
mementum/backtrader · recommended 2×
gbeced/pyalgotrade · recommended 1×
MetaTrader 5 (MT5) Strategy Tester · recommended 1×

CATEGORY QUERY
What's a good framework for backtesting algorithmic trading strategies across multiple markets?
you: not recommended
AI recommended (in order):
1. QuantConnect (Lean Engine) (QuantConnect/Lean)
2. Zipline (quantopian/zipline)
3. Backtrader (mementum/backtrader)
4. PyAlgoTrade (gbeced/pyalgotrade)
5. MetaTrader 5 (MT5) Strategy Tester
6. TradingView Pine Script Strategy Tester
AI recommended 6 alternatives but never named whchien/ai-trader. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I integrate AI assistants with a configurable backtesting platform for trading strategies?
you: not recommended
AI recommended (in order):
1. Lean Engine (QuantConnect/Lean)
2. Zipline (quantopian/zipline)
3. Backtrader (mementum/backtrader)
4. scikit-learn (scikit-learn/scikit-learn)
5. TensorFlow (tensorflow/tensorflow)
6. PyTorch (pytorch/pytorch)
7. MetaTrader 5
8. MetaTrader5 package (MetaQuotes/MetaTrader5-API)
9. Amibroker
10. LangChain (langchain-ai/langchain)
11. OpenAI API
12. Hugging Face Transformers (huggingface/transformers)
13. Google Gemini API
14. Rasa (RasaHQ/rasa)
AI recommended 14 alternatives but never named whchien/ai-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
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 whchien/ai-trader?
pass
AI named whchien/ai-trader explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts whchien/ai-trader in production, what risks or prerequisites should they evaluate first?
pass
AI named whchien/ai-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 whchien/ai-trader solve, and who is the primary audience?
pass
AI named whchien/ai-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 whchien/ai-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.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/whchien/ai-trader.svg)](https://repogeo.com/en/r/whchien/ai-trader)

HTML

<a href="https://repogeo.com/en/r/whchien/ai-trader"><img src="https://repogeo.com/badge/whchien/ai-trader.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite