Polygon.io is a powerhouse for market data. FactStream is purpose-built for SEC fundamental data. Different tools for different jobs — here's the honest comparison.
Choose FactStream if you need deep SEC EDGAR fundamental data at an affordable price point for indie developers and small teams. Choose Polygon.io if you need real-time market data, WebSocket streams, options, or forex — especially at institutional scale.
| Feature | FactStream | Polygon.io |
|---|---|---|
| SEC filings (10-K, 10-Q, 8-K) | ||
| Financial statements (structured) | Limited | |
| Data source | SEC EDGAR direct | Multiple exchanges |
| Historical fundamental data | 10 years | Limited/varies |
| Real-time stock prices | ||
| WebSocket streaming | ||
| Options data | ||
| Forex & crypto | ||
| Starter price | $49/mo | $199/mo (Stocks Starter) |
| Free trial | 30 days, no CC | Free tier (5 req/min) |
| Python client |
10 years of structured income statements, balance sheets, cash flows, and SEC filings. Purpose-built for fundamental analysis.
Start at $49/mo with 30,000 calls. Polygon's stock data starts at $199/mo — 4x more expensive for developers who only need fundamentals.
Direct access to 10-K, 10-Q, 8-K filings as structured data. Polygon doesn't offer SEC filing data.
30-day free trial on Starter plan without entering payment info. Lower friction to evaluate.
WebSocket streaming, tick-level data, and real-time prices. FactStream is historical and fundamental data only.
Full options chain data, Greeks, and historical options data. FactStream doesn't cover derivatives.
Stocks, options, forex, and crypto all in one platform. FactStream covers US equities only.
Built for high-frequency use cases with unlimited plans. Better suited for institutional trading infrastructure.
Screen stocks by P/E ratio and free cash flow — the kind of fundamental analysis FactStream excels at:
import factstream
client = factstream.Client(api_key="your_api_key")
# Screen for undervalued large-caps
tickers = ["AAPL", "MSFT", "GOOGL", "AMZN", "META"]
for ticker in tickers:
metrics = client.metrics.get(ticker=ticker)
income = client.financials.income_statement(
ticker=ticker, period="annual", limit=1
)
pe_ratio = metrics.pe_ratio
fcf_yield = metrics.free_cash_flow_yield
if pe_ratio and pe_ratio < 25 and fcf_yield and fcf_yield > 0.03:
print(f"{ticker}: P/E {pe_ratio:.1f}, FCF Yield {fcf_yield:.1%}")
print(f" Revenue: ${income[0].revenue:,.0f}")
print(f" Net Income: ${income[0].net_income:,.0f}")
print()