Stock Expert AI analyzes 21,000+ US stocks by aggregating data from Financial Modeling Prep, Yahoo Finance, Alpaca, and SEC EDGAR, explaining every metric in plain English. MoonshotScore is produced only for US-traded common stocks and ADRs (NYSE, NASDAQ and OTC); funds, ETFs, warrants, units, SPACs, preferreds, and notes carry no MoonshotScore. The platform is free and provides educational research, not financial advice.
We use AI to analyze stock data and suggest insights based on historical patterns. Markets are unpredictable, and we're transparent about our approach and limitations.
Our Approach
Realistic AI-powered analysis
StockExpertAI uses artificial intelligence to process large amounts of market data, news, and historical patterns to generate insights that may help inform your investment research. We believe in democratizing access to sophisticated analysis tools.
What We Do
Aggregate data from multiple trusted financial providers
Use AI to identify patterns and generate insights
Explain complex financial data in plain English
Provide educational context for investment concepts
Show our methodology and data sources transparently
Alpaca News API Premium news aggregation from 100+ sources
SEC EDGAR Official company filings, 10-K, 10-Q reports
Data Freshness: Prices refresh when a page is viewed during US market hours; each quote is a provider snapshot, not an exchange feed. The news archive draws on 200 outlets; new editions are currently paused, and every story carries its own date. Financial statements update with each quarterly earnings report; the AI dossier shows the date it was last analyzed.
AI Methodology
How our AI generates insights
AI Technologies Used
Claude (Anthropic): Deep analysis, portfolio diagnostics, qualitative insights
Gemini (Google): OCR, content generation, video transcription, Moon AI chat
Important: Our AI calculates probabilities and identifies patterns based on historical data. It does not predict the future. Markets are influenced by countless unpredictable factors including geopolitical events, earnings surprises, and market sentiment shifts.
The Process
From data to insights
1
Ingest
Continuously pull prices, news, financials, insider trades, and macro signals from trusted data providers.
2
Understand
AI models extract key drivers, identify risks, spot catalysts, and connect the dots across multiple data streams.
3
Explain
Complex analysis becomes plain-English summaries, structured insights, and visual breakdowns you can actually use.
4
Improve
Continuous feedback loops, user signals, and model refinement make the platform smarter every single day.
Limitations and Risks
What you need to understand
Important Disclaimer
StockExpertAI provides educational insights and analysis for informational purposes only. We are NOT investment advisers, broker-dealers, or financial planners. Our AI predictions and analysis should not be considered investment advice. Past performance does not guarantee future results. Always consult a qualified financial professional before making investment decisions.
Known Limitations
AI cannot predict black swan events or sudden market shifts
Historical patterns may not repeat in the future
Data may have delays or occasional inaccuracies
Sentiment analysis can misinterpret context
Investment Risks
All investments carry risk, including total loss of principal
Market volatility can lead to significant losses
Individual stocks may underperform regardless of analysis
You are solely responsible for your investment decisions
Validation and Transparency
How we verify our work
Community Predictions
Our public leaderboard tracks user predictions with transparent accuracy metrics. No hidden results.
Score history, recorded forward
Each score is stored daily from the day a page qualifies. We have not run a backtest, and a log shorter than six to twelve months proves nothing — so we publish the record as it accumulates instead of a claim about it.
Open Methodology
We publish our approach, data sources, and limitations openly. No black boxes. You deserve to know how conclusions are reached.
Frequently Asked Questions
What data sources does StockExpertAI use?
We aggregate data from Financial Modeling Prep (FMP) for financials, Alpaca for real-time prices, Finnhub for insider trades and sentiment, Alpha Vantage for technical indicators, and SEC EDGAR for official filings. All data is cross-verified across multiple sources.
Is StockExpertAI investment advice?
No. StockExpertAI is NOT a registered investment adviser. All content is for educational and informational purposes only. Always consult a qualified financial advisor before making investment decisions.
How accurate are the AI predictions?
Our AI uses multiple models and cross-verification to identify patterns in historical data, but markets are inherently unpredictable. We transparently track prediction accuracy on our public leaderboard. Past patterns do not guarantee future results.
How often is the data updated?
Prices refresh when a page is viewed during US market hours; each quote is a provider snapshot, not an exchange feed. The news archive draws on 200 outlets; new editions are currently paused, and every story carries its own date. Financial statements update with each quarterly earnings report; the AI dossier shows the date it was last analyzed.
Sources & References
Our analysis pipeline uses data from these provider-sourced providers:
Stock Expert AI runs several AI models over 21,000+ US stocks and reads each one from more than one angle. It takes in prices refreshed during market hours, financial statements, insider trades and news.
The AI then pulls out the key drivers, names the risks, and writes a plain-English summary with a bull, a bear and a balanced view.
What data sources does Stock Expert AI use?
FMP comes first. Financial Modeling Prep gives us the financials, the valuation figures, the technical readings and insider trades. Yahoo Finance and Alpaca stand in for prices and ETF data. SEC EDGAR gives the official insider filings.
Every figure is checked against more than one source.