This dataset publishes a broad universe of Yahoo Finance market data, combining daily end-of-day price history with company profile, listing metadata, and analyst-derived expectations.

Tables included:

• daily_prices: end-of-day OHLCV and adjusted close prices, one row per (symbol, trading date) with basic trading metadata (currency, exchange, instrument type).
• tickers_metadata: latest available per-symbol company profile and listing attributes, plus a wide set of snapshot fundamentals (valuation, margins, cash-flow, leverage, ownership, dividends).
• news: news articles and market stories associated with each symbol, including publication timestamps, publisher attribution, canonical URLs, and optional thumbnail metadata.
• recommendations: analyst recommendation distribution snapshots (strong_buy..strong_sell) by symbol and reporting period.
• earnings_estimate: consensus EPS estimate snapshots (avg/low/high, analyst count, growth) by symbol and reporting period.
• earnings_history: historical quarterly EPS results vs consensus estimates (actual, estimate, surprise) by symbol.
• revenue_estimate: consensus revenue estimate snapshots (avg/low/high, analyst count, growth) by symbol and reporting period.
• eps_trend: point-in-time EPS consensus values across multiple lookback horizons (current, 7/30/60/90 days ago) by symbol and reporting period.
• eps_revisions: counts of upward/downward EPS estimate revisions over recent time windows by symbol and reporting period.
• growth_estimates: longer-term growth expectation snapshots for a stock versus a benchmark index trend by symbol and reporting period.

Typical use cases include quant and factor research, fundamental screening, earnings surprise analysis, monitoring estimate revisions over time, and joining external datasets (e.g., SEC filings) to price and fundamentals via the symbol key.