Stock Screener API: Programmatic Access to Market Data for Screening
A stock screener API delivers programmatic access to real-time and historical market data, fundamentals, earnings, and news feeds for automated stock screening. Instead of opening a web-based screener, developers send filter parameters directly to the API and receive structured results for trading models, dashboards, or custom applications.
How Pineify Helps
A stock screener API returns a JSON list of tickers that match your PE, revenue growth, and RSI filters. Pineify takes those same filter criteria and converts them into a TradingView Pine Script indicator that runs directly on the chart. You skip the API key, the call rate limits, and the JSON parsing. The strategy optimizer then backtests the screening rules on historical data before you trade them with real money.
What Data a Stock Screener API Actually Provides
Stock screener APIs typically offer three data categories: real-time and historical price data, fundamental metrics, and news or sentiment feeds. Price data includes open, high, low, close, and volume across multiple timeframes. Fundamentals cover PE ratio, EPS growth rate, revenue growth, debt-to-equity, and market cap. News feeds provide headline sentiment scoring and corporate event tracking.
- Price data: OHLCV across daily, weekly, and intraday timeframes
- Fundamentals: PE, PB, EPS growth, revenue growth, debt-to-equity
- News and sentiment: headline scoring, earnings announcements, filings
- Insider transactions and institutional ownership changes
- Options flow and unusual options activity data
Screening by Valuation and Growth Metrics Through an API
The real power of a stock screener API is combining valuation and growth filters in a single query. You ask the API for stocks with a PE ratio under 15, revenue growth above 20%, and debt-to-equity under 1. NVDA with a PE of 50 and revenue growth above 50% would not match a strict value screen, but AAPL with a PE of 30 and consistent growth fits a moderate valuation-growth blend.
- PE ratio under 15 combined with revenue growth above 20% for value-growth blends
- PEG ratio under 1 to find growth stocks priced reasonably
- EPS growth acceleration over the last two quarters as a momentum signal
- Return on equity above 15% with debt-to-equity under 0.5 for quality screens
- Free cash flow yield above 5% to filter for capital-efficient businesses
Building an API Screening Pipeline From Start to Finish
I set up an automated API screen that pulled quarterly fundamental data for stocks above 5 dollars and 1 million daily volume. The script filtered for PE under 15 with revenue growth above 20%. NVDA showed up repeatedly with revenue growth above 50%, and I ran each match through a 50-day SMA trend check before watching the chart.
- Define filter criteria before writing any API integration code
- Select an API provider that covers your required data categories
- Schedule regular API calls with retry logic for rate limits and outages
- Parse the response and apply additional calculations the API does not support
- Review matched tickers manually before committing capital to any setup
What an API Ticker List Does Not Tell You
An API returns a JSON array of matching symbols. That is a list, not a trading strategy. The API does not tell you the entry price, the stop loss level, the position size, or the exit rule. Without those four pieces, a stock screener API is a research tool, not a trading system.
- No entry price or trigger condition beyond the filter criteria
- No stop loss or risk management rules
- No position sizing guidance based on account size
- No exit strategy for taking profits or cutting losses
- No backtest showing how the screening rules performed historically
Turning API-Style Screening Rules Into a Pine Script Indicator
Pineify takes the same filter criteria you would send to an API and converts them into a TradingView Pine Script indicator. Enter the rules in plain language: PE under 15, revenue growth above 20%, RSI under 30. The Coding Agent generates a complete script that runs on the chart and fires alerts when conditions align.
- Describe screening rules in plain language without writing code
- Generate a Pine Script indicator that applies your rules on the TradingView chart
- Backtest the screening criteria with the strategy optimizer on historical data
- Fire chart alerts when a stock meets all your API-style filter conditions
- Skip the API key, the JSON parsing, and the deployment infrastructure entirely
This page is for informational purposes only and does not constitute investment advice. Trading stocks carries substantial risk of loss. Past performance does not guarantee future results. Always consult a qualified financial advisor before making trading decisions.