TradeYar vs QuanterLab

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

TradeYar compared with QuanterLab
Detail	TradeYar	QuanterLab
What it does	Trading journal that finds the habits costing you money	Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
Stage	Not given	Startup
Founded	Not given	2025
Based in	Not given	DE
Pricing model	Freemium	Freemium
Pricing	Free: $0/month with 1 account, unlimited trade logging and import, basic dashboard, 7-day free preview of patterns and full Mirror Score after importing 20+ trades. Pro: $19.90/month with everything in Free plus full Performance Hub, patterns, Psychology, Explorer, Reports, AI Coach, and unlimited a	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	Automatic pattern detection from 13 behavioral patterns Mirror Score (0-100 rating) based on trading performance Prop-firm rules compliance checking for 20 firms Import from MT4, MT5, cTrader, NinjaTrader and other brokers Live sync from MT4, MT5, cTrader and NinjaTrader (Pro feature) AI Coach for analysis of your trading history and patterns Performance Hub with Psychology, Patterns and Reports (Pro) Data storage in EU (Germany)	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	No manual tagging required; automatically detects 13 behavioral patterns from raw trade data Only shows measured numbers; transparently states when data cannot answer a question Pre-configured rules for 20 prop firms with compliance checking AI analysis on your own trading history, not trade recommendations	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 votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	5 +1 (up) since last check
Trust Flow (Majestic)	0	8
Citation Flow (Majestic)	0	28
Referring domains (Majestic)	0	22

5 details filled in for both companies.

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