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AI & Agents

QuantDinger

Source: OpenByteInc/QuantDinger · ★ 7346 · Python

Last updated 2026-06-06 · benchmark measured 2026-10-18 — deterministic & reproducible

AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading

QuantDinger at a glance

QuantDinger is an open-source, self-hosted AI quantitative trading platform for crypto, stocks, and forex that combines market data, AI-assisted research, Python strategy coding, backtesting, and live trade execution for traders, quant teams, and developers.

Good for

  • Solo traders or quant enthusiasts who want AI analysis, charting, backtesting, and trading bots in one workspace instead of separate tools
  • Quant research teams or asset management desks that want a unified toolchain for research, strategy code, backtests, live execution, and shared experiment history
  • Teams or startups that need to keep keys, strategies, and trading history on their own infrastructure rather than a hosted SaaS

Questions people ask

Is QuantDinger self-hosted or a cloud service?
It is self-hosted: you deploy it with a Docker Compose stack, and your keys, strategies, AI history, and trades stay on infrastructure you control.

What markets can I trade with QuantDinger?
It supports crypto and equities, connecting to 15+ exchanges/brokers, and also covers forex according to its stated feature set.

How do I write and run a strategy?
You write a single Python strategy using the Strategy API V2 contract, which defines the universe, subscriptions, and warmup, and the same code is used for both backtesting and live execution.

Can I run automated trading bots without writing code?
Yes, it includes four built-in bot strategies (Grid, Martingale, Trend Following, and DCA), and a signal-only mode that simulates fills, positions, and PnL without sending real broker orders.

Which AI models does it use for market analysis?
It offers AI market analysis with ensemble voting and confidence calibration across 6 LLM providers, including OpenAI, Claude, Gemini, DeepSeek, and Grok.

Written by Legit.Show from quantdinger.com on 2026-09-30. It does not change the score.

74/100
7/7 frames
Top 66% of 17,496 measured · #13 of 20 in trading platform
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-10-18 · scores move as sites change

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Legit.Show scored QuantDinger 74/100 on 2026-10-18, measured across all 7 frames from its public surface. legit.show/s/gh-brokermr810-quantdinger/2026-10-18

Is QuantDinger production-ready?

Legit.Show scores QuantDinger 74 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on QuantDinger (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Discoverability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Sources and updates

Description
Taken from quantdinger.com's own website on 2026-06-06.
Operator
OpenByte Inc., as named in quantdinger.com's terms, privacy page or footer.
Code
github.com/OpenByteInc/QuantDinger.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-18.

Put together from public information, without QuantDinger's involvement. If anything here is wrong, tell us and a person will check it.

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