US stock screener and research workspace for self-directed investors
Python algorithmic trading software for backtesting and live trading strategies on your own infrastructure
Stage
Not given
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Founded
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Based in
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US
Pricing model
Freemium
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Pricing
Free plan includes one complete introductory AI Mode run with six one-time credits. Premium includes two hundred credits per calendar month. Final subscription prices and billing terms are shown before payment.
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
Stock screening with customizable filters
Inspect financial statements and company filings
Valuation analysis with explicit assumptions
AI-assisted analysis and research support
Portfolio tools and saved workspaces
Dated price history and market data
Ownership records and fund holdings
Alerts and export functionality
Thesis workspace for documenting investment cases
Stock Sense MCP connector integration
11 built-in technical indicators
Built-in Model Context Protocol (MCP) server for AI assistants
What makes it different
Combines dated public filings with current market prices and transparent calculations in one workspace
Emphasizes maintaining transparency about data freshness and source attribution
Designed specifically to help test investment theses with evidence-based research
Supports challenging investment assumptions with AI assistance checked against underlying sources
Public company research is open and accessible without requiring an account
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