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Documentation Index

Fetch the complete documentation index at: https://finance.dev/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

The Analytics API provides market intelligence including top gainers/losers, most active stocks, sector analysis, analyst ratings, market breadth, and net inflow data.

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Methods

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get_top_gainers()

gainers = client.analytics.get_top_gainers()
for stock in gainers:
    print(f"{stock.symbol}: +{stock.change_percent}%")

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get_top_losers()

losers = client.analytics.get_top_losers()

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get_most_active()

active = client.analytics.get_most_active()

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get_sector_tickers(sector)

tech_stocks = client.analytics.get_sector_tickers("TECHNOLOGY")

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get_sector_performance()

sectors = client.analytics.get_sector_performance()

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get_options_top_volume()

options_volume = client.analytics.get_options_top_volume(type="stocks")

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get_analyst_ratings(symbol)

ratings = client.analytics.get_analyst_ratings("AAPL")

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get_market_breadth()

breadth = client.analytics.get_market_breadth()
print(f"Advancers: {breadth.advancers}")
print(f"Decliners: {breadth.decliners}")

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get_net_inflow()

inflow = client.analytics.get_net_inflow()

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Examples

# Find trading opportunities
gainers = client.analytics.get_top_gainers()
print("Top 5 Gainers:")
for stock in gainers[:5]:
    print(f"{stock.symbol}: {stock.price} (+{stock.change_percent}%)")

# Sector analysis
sectors = client.analytics.get_sector_performance()
best_sector = max(sectors, key=lambda x: x.change_percent)
print(f"Best performing sector: {best_sector.name} (+{best_sector.change_percent}%)")

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API Endpoints

  • GET /v1/equity/top-gainers
  • GET /v1/equity/top-losers
  • GET /v1/equity/top-most-active
  • GET /v1/equity/sector-tickers
  • GET /v1/analytics/ratings
  • GET /v1/analytics/market-breadth