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Glossary

Financial Data Screening API

An API service that filters financial instruments (stocks, ETFs, cryptocurrencies) by configurable criteria such as price range, trading volume, market cap, sector, technical indicators, or sentiment signals, returning structured data for further analysis.

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Definition

An API service that filters financial instruments (stocks, ETFs, cryptocurrencies) by configurable criteria such as price range, trading volume, market cap, sector, technical indicators, or sentiment signals, returning structured data for further analysis.

In Depth

Financial data screening APIs let developers build custom stock screeners, market scanners, and investment research tools. Unlike consumer-facing screeners (Finviz, TradingView), API-based screening integrates directly into automated pipelines, AI agents, and custom dashboards. Screening data sources: (1) Market data APIs (Alpha Vantage, Polygon.io, Twelve Data) provide price, volume, and technical indicator data for screening. (2) Fundamental data (Financial Modeling Prep, SEC EDGAR) provides earnings, revenue, and balance sheet data. (3) Sentiment data -- this is where search APIs add value. Reddit discussions (r/wallstreetbets, r/stocks), Google search trends, and news sentiment provide signals that pure financial data misses. Search-enhanced screening workflow: screen stocks using financial APIs for quantitative criteria (market cap > $1B, P/E < 20), then enrich with Scavio search data: (1) Google search for '{ticker} analysis 2026' to find recent analyst coverage. (2) Reddit search for '{ticker}' to gauge retail sentiment. (3) YouTube search for '{ticker} review' to find video analysis. Cost per stock screened: ~$0.015 (3 Scavio queries at $0.005 each). For a universe of 100 stocks screened weekly, the search enrichment layer costs ~$6/mo via Scavio. This provides sentiment and coverage data that pure financial APIs charge significantly more for through dedicated sentiment endpoints.

Example Usage

Real-World Example

The screening pipeline first filters S&P 500 stocks by technical criteria (RSI < 30, above 200-day MA), then for each candidate, queries Scavio for Reddit sentiment (search r/stocks for the ticker), Google news coverage (last 7 days), and YouTube analysis videos. Total cost for screening 500 stocks weekly: ~$30/mo in Scavio queries.

Platforms

Financial Data Screening API is relevant across the following platforms, all accessible through Scavio's unified API:

  • Google
  • Reddit
  • YouTube

Related Terms

WSB Sentiment Extraction

The automated extraction of stock market sentiment from Reddit communities (r/wallstreetbets, r/stocks, r/investing) by ...

Cross-Platform Intelligence

The practice of combining data from multiple platforms (Google search, Reddit discussions, Amazon product data, YouTube ...

Reddit SERP Data Access

The retrieval of Reddit posts, comments, and discussions that appear in Google search results through SERP APIs, providi...

Frequently Asked Questions

An API service that filters financial instruments (stocks, ETFs, cryptocurrencies) by configurable criteria such as price range, trading volume, market cap, sector, technical indicators, or sentiment signals, returning structured data for further analysis.

The screening pipeline first filters S&P 500 stocks by technical criteria (RSI < 30, above 200-day MA), then for each candidate, queries Scavio for Reddit sentiment (search r/stocks for the ticker), Google news coverage (last 7 days), and YouTube analysis videos. Total cost for screening 500 stocks weekly: ~$30/mo in Scavio queries.

Financial Data Screening API is relevant to Google, Reddit, YouTube. Scavio provides a unified API to access data from all of these platforms.

Financial data screening APIs let developers build custom stock screeners, market scanners, and investment research tools. Unlike consumer-facing screeners (Finviz, TradingView), API-based screening integrates directly into automated pipelines, AI agents, and custom dashboards. Screening data sources: (1) Market data APIs (Alpha Vantage, Polygon.io, Twelve Data) provide price, volume, and technical indicator data for screening. (2) Fundamental data (Financial Modeling Prep, SEC EDGAR) provides earnings, revenue, and balance sheet data. (3) Sentiment data -- this is where search APIs add value. Reddit discussions (r/wallstreetbets, r/stocks), Google search trends, and news sentiment provide signals that pure financial data misses. Search-enhanced screening workflow: screen stocks using financial APIs for quantitative criteria (market cap > $1B, P/E < 20), then enrich with Scavio search data: (1) Google search for '{ticker} analysis 2026' to find recent analyst coverage. (2) Reddit search for '{ticker}' to gauge retail sentiment. (3) YouTube search for '{ticker} review' to find video analysis. Cost per stock screened: ~$0.015 (3 Scavio queries at $0.005 each). For a universe of 100 stocks screened weekly, the search enrichment layer costs ~$6/mo via Scavio. This provides sentiment and coverage data that pure financial APIs charge significantly more for through dedicated sentiment endpoints.

Financial Data Screening API

Start using Scavio to work with financial data screening api across Google, Amazon, YouTube, Walmart, and Reddit.

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