Transparency

Data Sources & Providers

Reliable analysis requires reliable data. StrongBuyAnalytics aggregates information from multiple institutional-grade sources and cross-validates it to reduce errors. Below is a complete list of every data source we use, what it provides, and how often it refreshes.

Market & Price Data

Source	Data Provided	Refresh Rate
Polygon.io	Real-time prices, historical OHLCV, financial statements, company info, analyst estimates	Live
Alpaca Markets API	Level 1 quotes, bid/ask spreads, recent trades, daily snapshots	Real-time
CoinGecko API	Cryptocurrency prices, market caps, 24h volume	1-5 min

Fundamental & Financial Data

Source	Data Provided	Refresh Rate
Financial Modeling Prep (FMP)	Key ratios, company profiles, earnings estimates, historical financials, DCF valuations	Daily
SEC EDGAR	13F institutional holdings, 10-K/10-Q filings, insider transactions	Quarterly
Earnings Calendar Providers	Earnings dates, EPS estimates, actual results, revenue estimates, surprise percentages	10 min

Sentiment & Social Data

Source	Data Provided	Refresh Rate
Reddit API	Trending tickers from r/wallstreetbets, r/stocks, r/investing, mention counts	15 min
StockTwits	Trending symbols, watchers count, bullish/bearish sentiment	15 min
Google Trends	Search interest spikes for stock tickers and financial terms	30 min
News APIs	Market news headlines, company-specific news, analyst commentary	10 min

AI & Analysis Engine

Source	Data Provided	Refresh Rate
OpenAI GPT	AI-generated analysis summaries, sector sentiment narratives, earnings insights	On demand
Custom Scoring Models	Strong Buy Score calculation, risk classification, demand zone detection	Per report

How We Cross-Validate Data

No single data source is perfect. That's why we cross-reference multiple providers before generating any analysis:

Price verification

Real-time quotes are validated against multiple feeds to catch stale or erroneous data

Financial statement checks

Key metrics from Polygon.io are compared against FMP and SEC filings

Caching & freshness

Every cached data point has a TTL (time-to-live) to ensure you never see stale information

Fallback logic

If a primary source fails, the system gracefully falls back to secondary sources

Educational Disclaimer: StrongBuyAnalytics is an educational platform. The data and analysis provided are for informational purposes only and do not constitute financial advice. Always do your own research and consult a qualified financial advisor before making investment decisions. Data accuracy depends on third-party providers and may contain delays or errors.

Learn more about how we use this data

Explore our methodology, scoring system, and update schedules

Our Methodology How Scores Work Update Frequency