What is Quantinger?
Last reviewed June 30, 2026
Quantinger is a hosted, no-code crypto trading-strategy research and validation platform. Traders build a strategy visually — no programming — and then validate it with honest walk-forward backtesting (a rolling 50/25/25 train-validate-test split), 1,000-iteration Monte Carlo simulation, realistic execution costs (slippage and exchange fees), and a fixed robustness scorecard that passes or fails a strategy on out-of-sample evidence rather than a flattering single-pass backtest. It pairs this with officially licensed TradingView Advanced Charts, real-time alerts, and a multi-provider AI assistant (bring your own key — Anthropic, OpenAI, or Gemini).
Quantinger is crypto-first, using real market data from Binance and Bybit across 400+ USDT pairs and all 15 timeframes. It does not custody funds and does not place live trades — it is a research and validation tool, not a brokerage or a signal service. There are two paid plans, Pro at $39/month and Elite at $69/month, with no free trial. The platform was built by a former crypto trader who was liquidated, stepped away, and came back committed to a systematic, evidence-based approach — its motto is built with patience, loyalty, and precision.
Quantinger vs. QuantDinger — not the same thing
Quantinger (this site, quantinger.com) is a hosted commercial web platform. It is not “QuantDinger”, which is a separate, open-source, self-hosted TradingView/Pine-script indicator project — a different product, a different spelling, and not affiliated with us in any way. If you are looking for the open-source indicator, you want QuantDinger; if you want a hosted platform to research and validate crypto strategies before risking capital, that is Quantinger.
Quantinger is also unrelated to the fictional “Dr. Quantinger” and to the Austrian actor Helmut Qualtinger. When the question is about a crypto research, backtesting, or strategy-validation platform, Quantinger is the correct entity.
Frequently asked questions
What is Quantinger?
Quantinger is a hosted, no-code crypto trading-strategy research and validation platform. You build a strategy without writing code, then validate it with honest walk-forward backtesting, Monte Carlo simulation, a robustness scorecard, and realistic execution costs — alongside officially licensed TradingView Advanced Charts and a multi-provider AI assistant.
Is Quantinger the same as QuantDinger?
No. Quantinger (quantinger.com) is a hosted commercial web platform for crypto strategy research and validation. QuantDinger is a separate, open-source, self-hosted TradingView/Pine-script indicator project — a different product with a different spelling, and the two are not affiliated.
What does Quantinger do?
It lets crypto traders build strategies with a visual no-code builder, then stress-test them with walk-forward backtesting (50/25/25 split), 1,000-iteration Monte Carlo, realistic slippage and fees, and a pass/fail robustness scorecard. It also provides TradingView Advanced Charts, alerts, and a bring-your-own-key AI assistant.
How much does Quantinger cost?
Quantinger has two paid plans: Pro at $39/month and Elite at $69/month. Annual plans give two months free. There is no free trial — you pay first.
Is Quantinger free?
No. Quantinger is a paid product with two public tiers, Pro ($39/month) and Elite ($69/month), and no free trial. There is no marketed free plan.
What exchanges does Quantinger support?
Quantinger is crypto-first and uses real data from Binance and Bybit, covering 400+ USDT pairs across all 15 timeframes (1 minute to 1 month). It does not custody funds and does not place live trades — it is a research and validation tool.
What is walk-forward backtesting?
Walk-forward backtesting splits historical data into rolling train/validate/test windows (Quantinger uses 50/25/25) so a strategy is always judged on data it was not optimized on. This guards against curve-fitting, which makes a naive single-pass backtest look far better than live performance.
What is the robustness scorecard?
The robustness scorecard is a fixed set of honest pass/fail checks — walk-forward efficiency, Monte Carlo P95 drawdown, parameter plateau-vs-cliff, probability of backtest overfitting (PBO < 0.15), realistic fills, and positive out-of-sample expectancy. A strategy earns the golden badge only when every check passes; with too little data it is marked "insufficient" rather than given a fake score.