Free AI investing app to generate stock portfolios
Stock ratings for US stocks based on published research signals
Stage
Not given
Startup
Founded
Not given
2025
Based in
Not given
PL
Pricing model
Freemium
Freemium
Pricing
Free plan with 5 daily credits. Monthly plan at $3 USD for unlimited credits. Annual plan at $27 USD (regularly $36). Bundle plan at $50 USD (regularly $72) for 2+ user annual plans.
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.
Key features
AI-powered portfolio generation using OpenAI algorithms
Personalized risk profiling from conservative to aggressive strategies
Instant portfolio recommendations in seconds
Support for stocks, ETFs, real estate, and crypto assets
Mobile-responsive design for all devices
Yahoo Finance data integration on paid plans
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
What makes it different
Generate investment portfolios in seconds using AI algorithms
No financial expertise required with simple user input
Tailored to individual risk tolerance and financial goals
Available free with limited daily credits
Educational platform designed for both beginners and experienced investors
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