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QuanterLab vs InbestPlanners

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

QuanterLab compared with InbestPlanners
DetailQuanterLab logo QuanterLabInbestPlanners logo InbestPlanners
What it doesQuantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation Stock signals with entry, target and stop
StageStartup Not given
Founded2025 Not given
Based inDE Not given
Pricing modelFreemium Freemium
PricingStarter €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 with 6 daily signals (4 per day drawn randomly: 1 per method in Europe and 2 in US), limited access; Starter €9.99/month with all signals, conviction scores, and 15 markets; Professional €24.99/month with full signal analysis and unlimited alerts. Both paid plans include a 7-day free trial
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
  • 1,700 stocks analyzed daily across 15 global markets
  • Bounce strategy targeting +3% in ~10 sessions
  • Impulse strategy targeting +10% over weeks
  • Conviction Score from 0 to 100 for each signal
  • Machine learning model analyzing 21 technical indicators
  • Quality, Value, Technical and Dividend stock rankings
  • Portfolio tracking with alerts and exit notifications
  • Daily data updates after market close
  • Public record of all closed signals with win/loss history
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
  • Public scoreboard tracking US Bounce signals with conviction 86+ against S&P 500
  • Free daily signals drawn randomly (not cherry-picked) viewable without account
  • All closed trades publicly archived with no look-ahead bias
  • Historical win rate and past trade count shown for each signal
Community votes00
DR (Domain Rating by Ahrefs)5 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)280
Referring domains (Majestic)220

5 details filled in for both companies.

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