jwolberg

jwolberg / volscan

Public

A locally-run options analytics terminal built on the [Trading Volatility API](https://tradingvolatility.net), with an AI-powered trading brief generated by Claude.

13
1
100% credibility
Found Mar 08, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

VOLSCAN is a locally-run web dashboard for options traders displaying gamma structure, skew, price levels, and expected moves, enhanced by an AI-generated trading brief.

How It Works

1
🔍 Discover VOLSCAN

You stumble upon this sleek, dark trading dashboard that gives everyday traders pro-level insights into stock options markets.

2
💻 Bring it home

Download it to your computer so you can run your own private version without sharing data online.

3
🔗 Link your helpers

Inside the app, connect a market data source for live stock info and an AI brain for smart analysis—no restarts needed.

4
🚀 Fire it up

Launch the app and watch your personal Bloomberg-like terminal appear in your web browser, ready to go.

5
📈 Pick a stock

Type a stock symbol like AAPL or click a demo one, then hit scan to pull in the latest options details.

6
👀 Dive into the data

Flip through tabs showing market structure, key price levels, gamma exposure bars, and trading signals—it feels powerful and clear.

7
🧠 Unlock AI wisdom

Tap the lightning button to get a quick, tailored brief with risks, trade ideas, watch levels, and a bottom-line callout.

✅ Trade with edge

Now you have real-time options intelligence and AI guidance right at home, helping spot opportunities like a pro.

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Star Growth

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AI-Generated Review

What is volscan?

Volscan is a JavaScript-based, locally-run options analytics dashboard that pulls real-time gamma exposure, skew positioning, expected moves, and key price levels from the Trading Volatility API for any ticker. It delivers a dark, terminal-style interface with tabs for market structure, price dispersion, GEX bars, and an AI-powered trading brief generated by Claude—synthesizing data into regime snapshots, risks, setups, and watch levels. Traders get Bloomberg-like intel without cloud dependencies, proxying APIs through a local server to keep keys secure.

Why is it gaining traction?

It stands out with its data-dense, chart-free UI—monospace metrics, bias chips, and SVG-less visualizations like volscan profiler-style price rails and bi-directional GEX bars—making gamma flips and sigma bands instantly scannable. The AI brief hooks users by turning raw JSON into actionable prose under 300 words, all runnable locally via npm run dev, with UI key inputs for Trading Volatility and Anthropic APIs. Demo mode on tickers like AAPL unlocks it without keys, appealing to devs wanting ai-powered analytics without vendor lock-in.

Who should use this?

Options day traders scanning gamma tone and flip levels mid-session, or quant hobbyists building local workflows around Trading Volatility data. Ideal for those ditching bloated platforms for a lightweight, self-hosted terminal that pairs GEX profiling with Claude briefs—perfect if you're evaluating volscan 600-style tools but need it to run locally like deepseek GitHub projects.

Verdict

Grab it for quick local options scans if you're in the Trading Volatility ecosystem—solid docs and demo make the 13 stars and 1.0% credibility score forgivable for an early solo project. Skip for production without adding tests; it's a strong prototype for tweaking into your volscani workflow.

(198 words)

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