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Stratman AI vs QuanterLab

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

Stratman AI compared with QuanterLab
DetailStratman AI logo Stratman AIQuanterLab logo QuanterLab
What it doesYour investing workspace for portfolio tracking, stock research, prediction markets, and AI agents Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
StageStartup Startup
FoundedNot given 2025
Based inUS DE
Pricing modelFreemium Freemium
PricingFree tier with 3 queries per month. Paid plans include Starter, Pro, and Edge tiers with varying query limits and features. 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
  • Portfolio tracking with broker sync via SnapTrade
  • Natural language backtesting
  • Custom AI agents for automated workflows
  • SEC 10-K filing analysis
  • Stock and ETF comparison tools
  • Watchlists with research reports and earnings calendar
  • Access to web articles, news, and Google Trends data
  • Keyboard shortcuts for quick access to stock data
  • AI chatbot with tier-matched query limits
  • 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
  • Built specifically for investors, not a generic AI tool
  • Designed for all skill levels from beginners to quants
  • Explains financial concepts in accessible language
  • 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)2 no change since last check5 +1 (up) since last check
Trust Flow (Majestic)08
Citation Flow (Majestic)1328
Referring domains (Majestic)722

7 details filled in for both companies.

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