Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
Visual, no-code backtesting and technical analysis platform for US stocks and ETFs
Stage
Startup
Startup
Founded
2025
2026
Based in
DE
GB
Pricing model
Freemium
Freemium
Pricing
Starter €7.99/month, Practitioner €19.50/month (regularly €39), Research €34.50/month (regularly €69). All prices include VAT. Every new account gets 30 days of Practitioner free with no card required.
Free plan: no card required, no time limit. Premium: $13.99/month or $139.99/year. UK customers billed in pounds: Premium £9.99/month or £99.99/year. 14-day money-back guarantee on first payment.
Key features
Visual strategy builder with circuit diagram interface
Point-in-time backtesting over 20 years of history
Walk-forward validation and robustness testing
Indicator strategies with mean reversion and momentum
Stochastic methods including Kalman filter and Ornstein-Uhlenbeck models
Factor model and portfolio construction tools
Paper trading with daily marked prices
Python code export for backtests and strategies
Regime analysis and market regime detection
Over 60 technical indicators on configurable charts
Visual strategy builder with AND/OR/NOT logic trees, no coding required
Historical backtesting on 400+ US stocks, ETFs and indices
Event analysis to find market conditions and measure outcomes
Automatic detection of 17 classic candlestick patterns
Replay feature for bar-by-bar chart practice or hidden stock learning
Five guided courses: Market Foundations, Technical Analysis, Events Analysis, Test Your Strategy and Replicate Published Studies
14,000+ US stocks and ETFs with subscriber's own free Tiingo key on Premium
What makes it different
Point-in-time data discipline prevents look-ahead bias and ensures strategies see only information available on each date
113 published research articles and studies with reproducible methodology and full audit trail
Circuit diagram interface makes strategy design accessible without requiring extensive coding
Full Python export enables strategies to be deployed outside the platform
Educational focus with no trading signals or recommendations, designed to teach users to test claims themselves
Calculations independently verified against TradingView, TA-Lib and manual implementations
Built-in Test Bench publishing original research studies with full methodology and negative results published transparently
No look-ahead bias in backtesting: trades fill only at or after rule-triggering candle close
User's Tiingo key and data never stored on GU Analyser servers, maintaining privacy
QuanterLab
GU Analyser