Stock ratings for US stocks based on published research signals
Python algorithmic trading software for backtesting and live trading strategies on your own infrastructure
Stage
Startup
Not given
Founded
2025
Not given
Based in
PL
US
Pricing model
Freemium
Not given
Pricing
Free plan with limited access to 200 largest stocks. Paid Tessera plan: $2 for first month, then $29/month, billed monthly. Cancel anytime. 30-day money-back guarantee.
Student (Free with valid .edu email), Starter ($99 one-time), Pro ($249 one-time), Quant ($499 one-time). Optional Maintenance & Community subscription: $10/mo or $100/year.
Key features
Six published research signals averaged into stock ratings
Free access to ratings on the 200 largest US stocks
Company financial analysis and sector comparisons
Stock screening on valuation, profitability, growth and momentum
Rules-based paper portfolio tracking with simulated trading
Custom paper portfolios with historical backtesting
Analyst estimates and DCF valuation tools
CSV export for custom analysis
Rating changes tracked weekly by signal
11 built-in technical indicators
Built-in Model Context Protocol (MCP) server for AI assistants
What makes it different
Connects stock screening with company research and paper portfolio tracking in one workspace
Ratings based on six published academic research signals, not proprietary black boxes
Free access to research on largest 200 stocks, no credit card required
Educational research and ranking signals, explicitly not investment advice
Affordable paid plan at $2 first month then $29/month with backtesting and full universe access
Self-hosted infrastructure with source code included — own your software forever with a one-time purchase
Unified backtesting and live-trading engine — same code backtests and trades live
No subscription required for the core product — lifetime license after one-time payment
Your data and keys stay on your machine — no cloud lock-in or third-party data storage