What Is MoonshotScore?
Summary
MoonshotScore is a 0-100 composite rating, calculated through the lens that fits the security. U.S.-listed common stocks use a sector-relative 5-pillar model — Business Quality, Financial Safety, Valuation, Growth Durability, and Momentum — with bands of Exceptional (80-100), Strong (65-79), Fair (45-64), Weak (25-44), and Avoid (below 25). ETFs, OTC names, and foreign listings use a legacy 9-factor composite: Revenue Growth (20%), Gross Margin (10%), Operating Leverage (10%), Cash Runway (10%), R&D Intensity (10%), Insider Activity (15%), Short Interest (5%), Price Momentum (10%), and News Sentiment (10%). The 5-pillar model re-ranks nightly; legacy scores update as market data refreshes. Pages display the score with a letter grade from A+ (80-100) down to F (below 30).
If you prefer one clear verdict instead of scattered data, see the product overview.
Definition
MoonshotScore is Stock Expert AI's proprietary 0-100 rating with two engines: a sector-relative five-pillar model (business quality, financial safety, valuation, growth durability, and momentum) for U.S.-listed common stocks, re-ranked nightly, and a legacy nine-signal model for ETFs, OTC and foreign listings, updated as market data refreshes.
How It Works
Financial statements, price data, and analyst ratings are gathered from multiple sources.
U.S.-listed common stocks route to the sector-relative 5-pillar model (business quality, financial safety, valuation, growth durability, and momentum); ETFs, OTC and foreign listings route to the legacy 9-signal model (revenue growth, gross margin, operating leverage, cash runway, R&D intensity, insider activity, short interest, price momentum, and news sentiment).
Pillar or signal results combine into a single 0-100 score. Interpretation bands: Exceptional (80-100), Strong (65-79), Fair (45-64), Weak (25-44), Avoid (below 25). Pages also display a letter grade from A+ down to F.
The 5-pillar model re-ranks nightly against the full universe of U.S.-listed common stocks; legacy nine-signal scores update as market data refreshes.
Frequently Asked Questions
What does a high MoonshotScore mean?
A high MoonshotScore means the model ranks the security strongly versus its peers — interpretation bands run Exceptional (80-100), Strong (65-79), Fair (45-64), Weak (25-44), Avoid (below 25). It is an analytical rating and does not constitute a buy recommendation.
How often is MoonshotScore updated?
The 5-pillar model re-ranks nightly against the full universe of U.S.-listed common stocks; legacy nine-signal scores update as market data refreshes.
Can I screen stocks by MoonshotScore?
Yes. Stock Expert AI's stock screener allows you to filter stocks by MoonshotScore range, sector, market cap, and other criteria.
Is MoonshotScore a buy recommendation?
No. MoonshotScore is an AI-generated rating for educational and research purposes. It should not be interpreted as financial advice or a buy/sell signal.
What data feeds into MoonshotScore?
The 5-pillar model scores business quality, financial safety, valuation, growth durability, and momentum against sector peers. The legacy model scores revenue growth, gross margin, operating leverage, cash runway, R&D intensity, insider activity, short interest, price momentum, and news sentiment. Inputs come from financial statements, price history, insider filings, and news data.
How accurate is MoonshotScore?
MoonshotScore is designed to identify growth potential patterns, not predict exact price movements. Both models are proprietary to Stock Expert AI and are not validated by any third party — use the score alongside your own research.
How does MoonshotScore compare to analyst ratings?
Traditional analyst ratings (buy, hold, sell) reflect individual analyst opinions. MoonshotScore is a quantitative score that aggregates multiple data dimensions simultaneously. Both can be useful for different aspects of investment research.
Does MoonshotScore work for all stock types?
Coverage spans U.S.-listed common stocks (5-pillar model) plus ETFs, OTC and foreign listings (legacy nine-signal model). Scores are most reliable for names with sufficient public financial data and trading history.
Evidence & Sources
- Data sources used on Stock Expert AI include FMP (Financial Modeling Prep), Alpaca, Finnhub, Alpha Vantage, and SEC filings where available.
- Definitions follow standard investing terminology, with key terms explained inline in plain language where useful.
- Financial data is refreshed regularly from real-time and delayed market feeds.
- This page is educational and does not constitute investment advice.
- All analysis is generated by AI models and should be verified with independent research.