REPOGEO REPORT · LITE

refraction-ray/xalpha

Default branch master · commit 48fa3308 · scanned 5/17/2026, 6:26:40 AM

GitHub: 2,501 stars · 471 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 refraction-ray/xalpha, 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 the README H1 to clearly state the project's domain
Why:
CURRENT
```
# xalpha
```
COPY-PASTE FIX
```
# xalpha: Quantitative Fund Investment Management & Backtesting Engine
```
highhomepage#2
Add the project's documentation URL as the homepage
Why:
COPY-PASTE FIX
```
https://xalpha.readthedocs.io/
```

mediumreadme#3

Emphasize 'fund investment strategies' and 'real-time financial data' in the README introduction

Why:

CURRENT

基金投资的全流程管理

基金股票信息与净值获取，精确到分的投资账户记录整合分析与丰富可视化，简单的策略回测以及根据预设策略的定时投资提醒。尤其适合资金反复进出的定投型和网格型投资的概览与管理分析。AI agent 原生支持。

🎉 0.3 版本起支持通用日线和实时数据获取器，统一接口一行可以获得几乎任何市场上存在产品的价格数据，进行分析。

COPY-PASTE FIX

xalpha is a comprehensive Python library for quantitative fund investment management and backtesting. It provides tools for acquiring fund and stock information and net values, integrating and analyzing detailed investment account records with rich visualizations, simple **fund investment strategy backtesting**, and timed investment reminders based on preset strategies. It is especially suited for overview and management analysis of recurring investment types like fixed investment and grid trading, where funds are frequently moved in and out. AI agent native support is included.

🎉 0.3 版本起支持通用日线和**实时金融数据**获取器，统一接口一行可以获得几乎任何市场上存在产品的价格数据，进行分析。

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 refraction-ray/xalpha

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

QuantConnect/Lean

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

QuantConnect/Lean · recommended 1×
quantopian/pyfolio · recommended 1×
mementum/backtrader · recommended 1×
quantopian/zipline · recommended 1×
pandas-dev/pandas · recommended 1×

CATEGORY QUERY
Seeking a Python solution to backtest fund investment strategies and analyze portfolio performance.
you: not recommended
AI recommended (in order):
1. Lean Engine (QuantConnect/Lean)
2. Pyfolio (quantopian/pyfolio)
3. Backtrader (mementum/backtrader)
4. Zipline (quantopian/zipline)
5. Pandas (pandas-dev/pandas)
AI recommended 5 alternatives but never named refraction-ray/xalpha. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I acquire real-time financial data and perform detailed fund valuation analysis?
you: not recommended
AI recommended (in order):
1. Bloomberg Terminal
2. Refinitiv Eikon
3. FactSet
4. Morningstar Direct
5. S&P Global Market Intelligence
6. Quandl
7. Interactive Brokers API
8. pandas
9. numpy
AI recommended 9 alternatives but never named refraction-ray/xalpha. 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 refraction-ray/xalpha?
pass
AI did not name refraction-ray/xalpha — 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 refraction-ray/xalpha in production, what risks or prerequisites should they evaluate first?
pass
AI named refraction-ray/xalpha 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 refraction-ray/xalpha solve, and who is the primary audience?
pass
AI named refraction-ray/xalpha explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/refraction-ray/xalpha"><img src="https://repogeo.com/badge/refraction-ray/xalpha.svg" alt="RepoGEO" /></a>

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refraction-ray/xalpha — 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