Desmond4u

Desmond4u / Fund_nav

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基于 Python 与 Streamlit 的公募基金实时估值系统。支持 A 股、港美股 QDII 及 ETF 联接基金的实时穿透估算，实时更新盘中涨跌幅。

14
15
100% credibility
Found Feb 04, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A dashboard app that estimates real-time net asset value changes for Chinese public mutual funds using current prices of their top stock holdings.

How It Works

1
🔍 Discover the Fund Tool

You find a simple online tool that helps track how your Chinese investment funds are doing in real-time based on their main stocks.

2
🚀 Open the Dashboard

Launch the friendly fund estimator page to see a clean interface ready for your funds.

3
📝 Add Your Fund Codes

Type in the codes for your favorite funds, like 002611 or others, separated by commas – it even suggests some to start with.

4
⚡ See Live Estimates

Magic happens as it grabs the latest stock prices and instantly shows the estimated up or down change for each fund.

5
📊 Check Charts and Breakdowns

Explore easy-to-read charts of today's swings, historical trends, and details on top holdings with color-coded rises and falls.

6
🔄 Keep It Fresh

Tap refresh anytime or turn on auto-updates every minute to always have the newest market insights.

✅ Invest Smarter Daily

You're now empowered with quick, real-time fund performance views to make confident choices without official delays.

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Star Growth

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AI-Generated Review

What is Fund_nav?

Fund_nav is a Python Streamlit app that estimates real-time net asset values (NAV) for Chinese public funds, covering A-shares, HK/US QDII, and ETF linkers. Input fund codes in the sidebar, hit refresh or enable auto-updates every 60 seconds, and get a dashboard with estimated intraday % changes, top holdings breakdowns, live stock contributions, and charts for session trends plus historical NAV. It solves the gap between market close and official evening NAVs by scraping holdings and matching to live prices.

Why is it gaining traction?

It stands out with concurrent data fetching for speed, smart handling of ETF feeder funds by targeting underlying trackers, and polished visuals like Altair line charts for intraday estimates versus historicals—far snappier than manual spreadsheets. Easy python streamlit install via github download, then python streamlit run for instant dashboard beats python streamlit vs dash complexity for quick financial prototypes. Among python github projects, its fund nav focus and python streamlit examples make it a trending pick for finance hacks.

Who should use this?

Retail traders tracking Chinese fund NAV during A-share hours. Python devs building python streamlit apps or dashboards who need fund nav modules as a starter. Quant hobbyists monitoring ETF portfolios without paid APIs.

Verdict

Solid for personal use or python github copilot experiments, but 14 stars and 1.0% credibility score signal early maturity—light docs, no tests. Fork and run if you're in Chinese markets; skip for production without hardening.

(198 words)

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