Web-based manual backtesting platform for testing trading strategies
US stock screener and research workspace for self-directed investors
Stage
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free plan: $0/month with 1 year of historical data, 20 symbols, 2 charts, limited trades and tools. Pro plan: $7/month with up to 20 years of historical data, 800+ symbols, unlimited charts, unlimited trades, and AI analysis.
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.
Key features
Tick-by-tick replay with bid and ask data
AI agent writes and runs strategies
36+ built-in indicators plus custom indicators
Multi-chart replay across symbols and timeframes
Export to Pine Script, Python, and MQL5
Drawing tools and candlestick patterns
Full trade statistics and performance reports
Upload custom OHLCV or tick CSV data
Over 800 tradable symbols across 7 asset classes
Historical data from tick to monthly timeframes
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
What makes it different
No registration or credit card required to start backtesting
AI agent that writes strategies based on plain language descriptions
Hybrid approach: let AI run the backtest, then take over trading manually
Tick-accurate data with L1 bid/ask pricing
Export strategies as executable code for external platforms
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