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QuanterLab vs Doxt Stock

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 Doxt Stock
DetailQuanterLab logo QuanterLabDoxt Stock logo Doxt Stock
What it doesQuantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation A judgment you can verify
StageStartup Not given
Founded2025 Not given
Based inDE Not given
Pricing modelFreemium Free
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. Not given
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
  • Public append-only ledger of all judgments
  • Settlement against real market prices after 5 trading days
  • Preregistered settlement thresholds of ±1.0%
  • Hash-chained records at database level
  • Hit rate and coverage metrics
  • Baseline comparisons: always-bullish, buy & hold, cash
  • Simulated paper account with commissions and slippage
  • Adjusted prices including splits and dividends
  • Direction and confidence for each judgment
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
  • Every judgment published before settlement, including misses
  • Settled by deterministic code, not curated
  • Independently verifiable track record
  • Transparent about what it is not: not financial advice, no money management
Community votes00
DR (Domain Rating by Ahrefs)5 +1 (up) since last check8 +1 (up) since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)284
Referring domains (Majestic)222

4 details filled in for both companies.

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