Quant-scored market-moving news, signals, and AI analysis
Visual, no-code backtesting and technical analysis platform for US stocks and ETFs
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
GB
Pricing model
Free
Freemium
Pricing
Not given
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
Watchlist management with ticker search and instant alerts
Daily intelligence digest delivered at 4 PM ET
S&P 500 earnings season tracking
Signal engine for news scanning and publishing
Detailed analysis with sentiment, factors, and charting
Telegram alerts option
iOS app with watchlist and account management
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
Quant-scored news and signals
AI analysis explaining what happened and what to watch
High-conviction stock ideas and quant picks
Pre-market intelligence before next market cycle
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
StockDuty
GU Analyser