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LevelFields™ vs QuanterLab

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

LevelFields™ compared with QuanterLab
DetailLevelFields™ logo LevelFields™QuanterLab logo QuanterLab
What it doesAI stock alerts from real market catalysts Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
StageEstablished Startup
Founded2021 2025
Based inUS DE
Pricing modelFreemium Freemium
PricingLevel 1 membership: $25 per month with annual plan. Level 2 membership available with analyst-curated alerts and additional features; remaining Level 1 subscription can offset part or all of first month of Level 2. 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.
Key features
  • Monitors 24 catalyst event types across 6,300 stocks
  • 5-year historical backtests with price reaction patterns
  • Real-time SEC filing and news monitoring with AI classification
  • Customizable alerts and watchlists for portfolio monitoring
  • Entry and exit point recommendations based on historical patterns
  • Analyst-curated trade ideas for Level 2 members
  • SMS alerts for premium events
  • 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
What makes it different
  • ~80% win rate on closed trades since 2022
  • Hallucination-free AI with cited source verification
  • Designed for options and event-driven traders
  • 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
Community votes00
DR (Domain Rating by Ahrefs)36 −1 (down) since last check5 +1 (up) since last check
Trust Flow (Majestic)168
Citation Flow (Majestic)3528
Referring domains (Majestic)43622

8 details filled in for both companies.

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