Your 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
Stage
Startup
Startup
Founded
Not given
2025
Based in
US
DE
Pricing model
Freemium
Freemium
Pricing
Free 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