Jiangzy520

A VNPY-based quant desktop platform with an AllTick-powered A-share realtime scanner and web dashboard

48
0
69% credibility
Found Mar 17, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A real-time Chinese stock monitoring tool that collects tick data using multiple access passes, scans for variant double bottom patterns, and displays signals via a web dashboard with image generation.

How It Works

1
๐Ÿ” Discover the stock alert tool

You find this handy tool on GitHub that watches your favorite stocks for special price patterns during the trading day.

2
๐Ÿ“ Pick your stocks

You make a simple list of stocks you care about, maybe snapping photos of your watchlist if you have one handy.

3
๐Ÿ”— Add your viewing passes

You paste in the passes you got for live stock price updates so the tool can see real-time movements.

4
๐ŸŽฏ Pair stocks with passes

You let the tool smartly match your stocks to the passes, spreading them out evenly so nothing gets missed.

5
๐Ÿš€ Start watching live

With one click, you launch the scanner and open the web page to see everything in actionโ€”feels exciting as trades flow in!

6
๐Ÿ“ฑ Check alerts and pictures

You refresh the dashboard to spot pattern alerts and grab ready-made images to share your findings quickly.

โœ… Catch great trades

You now get timely signals on promising stock dips, helping you make smarter moves right when it matters.

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AI-Generated Review

What is DreamleStockRadar?

DreamleStockRadar is a Python-based, VnPy-powered quant desktop platform that delivers an AllTick-powered realtime scanner for A-shares, capturing ticks across multiple API tokens and building second-level bars for pattern detection like variant double bottoms. It persists data to SQLite, emits signals to CSV, and includes a web dashboard for monitoring scans, editing watchlists, and viewing push-ready images auto-generated from signals. Users get a turnkey setup for intraday scanning via simple shell starters, solving the pain of token limits and manual data handling in A-share quant workflows.

Why is it gaining traction?

It stands out by balancing watchlists across AllTick tokens automatically, enabling scans of hundreds of A-shares without hitting per-token caps, plus OCR for quick watchlist imports from screenshots and timed image exports for Telegram pushes. The web dashboard streams realtime signals and logs, with systemd hooks for market-open auto-starts, making it dead simple to deploy on a VPS. Developers dig the zero-config multi-token parallelism and signal persistence, cutting setup time versus raw AllTick scripts.

Who should use this?

A-share day traders scripting intraday patterns, quant devs prototyping scanners on VnPy desktops, or hobbyists monitoring custom watchlists for breakouts. Ideal for those grinding AllTick tokens manually or needing a dashboard to share signals without building from scratch.

Verdict

Grab it if you're in A-shares and need realtime scanning nowโ€”48 stars and 0.699999988079071% credibility score signal early-stage maturity with thin docs, but the core scanner and dashboard work reliably for niche use. Polish watchlist UX and add tests to scale.

(198 words)

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