Data Overview
Alpha Vantage provides stock market data across multiple time horizons — from real-time intraday ticks to long-term monthly aggregates. Each entity returns price and volume fields for the stock symbol you specify.
Report types
Time series intradays
1, 5, 15, 30, or 60 minutes
Day trading, intraday pattern analysis
Time series dailies
Daily
Trend analysis, long-term tracking
Time series daily adjusteds
Daily (adjusted)
Accurate historical return calculations
Time series weeklies
Weekly
Medium-term portfolio review
Time series weekly adjusteds
Weekly (adjusted)
Adjusted weekly return tracking
Time series monthlies
Monthly
High-level performance reporting
Time series monthly adjusteds
Monthly (adjusted)
Long-term adjusted return analysis
Quotes
Real-time snapshot
Live price monitoring, dashboards
Available data fields
Price fields
Open
Price at the start of the period
High
Highest price during the period
Low
Lowest price during the period
Close
Price at the end of the period
Adjusted close
Close price adjusted for dividends and splits (adjusted entities only)
Volume and corporate action fields
Volume
Number of shares traded during the period
Dividend amount
Dividend paid during the period (adjusted entities only)
Split coefficient
Stock split ratio during the period (adjusted entities only)
Quote-specific fields
Symbol
Ticker symbol
Price
Current trading price
Change
Price change from previous close
Change percent
Percentage change from previous close
Latest trading day
Date of the most recent trade
Previous close
Closing price from the previous session
Parameters
Stock symbol
Yes
Any valid ticker (e.g., MSFT, TSCO.LON)
Include exchange suffix for non-US stocks
Interval
Required for intraday
1min, 5min, 15min, 30min, 60min
Not used for daily/weekly/monthly
Adjusted data
Optional
On/Off
Intraday only
Output size
Optional
compact, full
Compact = last 100 points; Full = complete history
Common data combinations
Here are some of the most useful ways to combine entities and parameters:
Daily OHLC + volume — use Time series dailies with full output for complete price history of a stock
Intraday 5-minute prices — use Time series intradays with a 5min interval for same-day trading analysis
Adjusted monthly closes — use Time series monthly adjusteds to calculate accurate long-term returns after accounting for dividends and splits
Live quote snapshot — use Quotes to display the current price and daily change in a real-time dashboard
Use cases by role
Pull adjusted daily or monthly data into spreadsheets to calculate portfolio returns and benchmark performance
Automate end-of-day price snapshots into a data warehouse for auditing and compliance records
Track dividend-adjusted close prices to generate accurate total return reports for stakeholders
Import full historical daily data for multiple tickers to build comparative trend analysis in BI tools like Looker Studio or Power BI
Use intraday data at 15min or 60min intervals to study price volatility patterns
Combine weekly adjusted data across a watchlist to identify relative strength over time
Schedule automated imports into BigQuery or a database to build a time-series stock price dataset
Use the compact output for lightweight daily refreshes and full output for initial historical backfills
Set up multiple importers — one per ticker — and land data in the same destination table for easy querying
Platform-specific notes
For non-US stock symbols, always append the exchange suffix (e.g.,
TSCO.LONfor Tesco on the London Stock Exchange)The compact output size returns only the last 100 data points — use full if you need complete history
Adjusted entities (daily, weekly, monthly adjusted) require an Alpha Vantage premium subscription
Intraday adjusted data is controlled by a toggle in Advanced settings, not by selecting a separate entity
Alpha Vantage returns data in reverse chronological order — most recent records appear first
Free API keys are limited to 25 requests per day and 5 requests per minute; scheduling too many importers on a free plan may trigger rate limit errors
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