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QuantDinger

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Eliminates months of infrastructure work for teams building algorithmic trading services.

Open-source AI Trading OS and commercial-ready multi-tenant SaaS platform — research markets, build Python strategies, backtest, paper/live trade, and monitor crypto, stocks, and forex, with built-in user management, billing, payments, and settlement to launch and operate your own trading service.

11,492 starsApache-2.0 (commercial OK)FreeQuick setup

Eliminates months of infrastructure work for teams building algorithmic trading services. Bundles backtesting, live execution, multi-tenant ops, and billing into one stack, reducing time-to-market and operational risk.

Engineering teams launching proprietary trading platforms or fintech consultants deploying managed trading services for clients.

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https://github.com/OpenByteInc/QuantDinger

By OpenByteInc

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install OpenByteInc/QuantDinger

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me build a Python trading strategy for crypto markets, then backtest it against historical data
CostFree

Trust Signals Auto-scanned

Stars11,492Last updated2026-09-11LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-11 · scanner v1

Community Pulse Active

Discussed on Hacker News

2 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 11,492 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 11,492 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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