| Key features | - 30-second stock analysis with DNA score from 0-100
- Analysis across 2,000+ signals spanning fundamentals, valuation, technicals, momentum, sentiment, and risk
- Ten composite category scores including Business Quality, Growth Outlook, Financial Strength, Valuation, Institutional, Trend & Structure, Momentum, Relative Strength, Risk, and News Sentiment
- Plain-English breakdowns of quantitative analysis
- Side-by-side stock comparison with dual DNA radars
- Stock screener with pre-built theme baskets including Penny Stocks, Growth Stocks, Value Stocks, Dividend Income, Quality Blue-Chips, Momentum Breakouts, Oversold Bounces, and High Risk/High Reward
- Watchlist that tracks DNA score changes for each stock
- Daily score updates recalculated each evening after market close
- Free financial calculators including Buffett Score, Intrinsic Value, DCF Calculator, PEG Calculator, Compound Interest, and Retirement Projector
- Access to 5,200+ analyzed US stocks
| - Fitted volatility surfaces with bid-ask-weighted curves across every expiration
- Accounts for American-style options with early exercise, discrete dividends, and implied borrow rates
- One-minute granularity historical data across 140+ symbols spanning 10 years
- Realized volatility calculations from 385 intraday returns per day
- Vol Screener, Vol Premium, Skew Scanner, and Earnings Vol analysis tools
- Historical simulation using actual bid-ask prices and fitted vol surfaces
- Python package for research workflows
- Interactive visual dashboards for surface inspection and event studies
- Model Context Protocol (MCP) integration for AI agent workflows
- Greeks and constant-maturity metrics via API and dashboards
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| What makes it different | - Converts 2,000+ data points into one instantly understandable 0-100 DNA score instead of hours of spreadsheet research
- Fixed, published formula methodology rather than subjective analyst opinions
- Scores recalculated daily with real-time quote updates rather than static quarterly snapshots
- Presents scores as objective data-driven labels rather than buy/sell recommendations
- Analyzes institutional ownership, sentiment, and technicals alongside fundamentals in one composite view
| - Arbitrage-free fitted volatility wings extending beyond quoted book using Lee-moment discipline
- Accessible to quantitative researchers and AI workflows through Python, API, and MCP without requiring market-maker infrastructure
- 10 years of consistent historical data at one-minute granularity across 140+ symbols for rigorous backtesting
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StockDNA
OptionSpace