Analytics

Access market analytics, top movers, sector data, and analyst ratings with the Python SDK

Overview

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

Methods

get_top_gainers()

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

get_top_losers()

losers = client.analytics.get_top_losers()

get_most_active()

active = client.analytics.get_most_active()

get_sector_tickers(sector)

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

get_sector_performance()

sectors = client.analytics.get_sector_performance()

get_options_top_volume()

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

get_analyst_ratings(symbol)

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

get_market_breadth()

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

get_net_inflow()

inflow = client.analytics.get_net_inflow()

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}%)")

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