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 with basic learning, company scores, and one watchlist. Research: €9.99 EUR/month for company research, discovery, and five-score breakdowns. Premium: €14.99 EUR/month for broker connections, portfolio tracking, and automated trading.
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
Plain-English lessons and quizzes on investing fundamentals
Five core scores simplifying 88+ metrics for company analysis
Investment discovery with ready-made portfolios and themes
Portfolio tracking and performance monitoring
Broker account integration and connections
Automated portfolio rebalancing with customizable rules
Smart alerts for price changes and company news
Scenario planning and forward-looking forecasts
Market insights tracking news and investor activity
50+ automated trading strategies
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
Simplifies complex financial information for beginners without requiring prior knowledge
Combines learning, research, portfolio tracking, and automation in a single integrated platform
Works alongside existing brokers rather than replacing them
Provides clear, repeatable process for understanding investments before deciding
Reduces research time by centralizing multiple sources of investment information
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
Mesodian
QuanterLab