Access Comprehensive, Up-to-Date Stock Price Data by Symbol

This API supports a variety of use cases, including real-time trading dashboards to display live prices and metrics, portfolio monitoring tools to track multiple securities, technical analysis platforms for charting trends, investor research applications for fundamental analysis, market watch widgets for embedding real-time quotes in financial websites, AI-driven applications such as predictive trading models and automated portfolio optimization, and quantitative trading strategies for high-frequency and algorithmic trading.

Key Features

• 📈 Multi-Symbol Query Support - Retrieve data for multiple stocks in one call.
  Users can request quotes for multiple symbols (e.g., GOOG, AAPL) in a single API call by separating symbols with commas, streamlining data retrieval for portfolios or watchlists. This feature simplifies workflows for applications like multi-asset dashboards or comparison tools, reducing API calls and enhancing efficiency.

• ⏱️ Real-Time and Delayed Pricing - Access the latest market prices with minimal latency.
  The API delivers current bid, ask, and last trade prices, along with after-hours data when available, enabling developers to build applications that reflect live market conditions. This is perfect for trading platforms or investor apps requiring up-to-the-minute pricing updates.

• 📊 Rich Market Metrics - Get comprehensive data including moving averages and dividends.
  With fields like MovingAverage50, MovingAverage200, and TTMDividend, users can access advanced metrics for technical analysis or fundamental research. This supports building sophisticated tools for traders and analysts who need detailed insights into price trends and security performance.

• 🔐 Secure Authentication - Protect your data access with a Base64-encoded key.
  The API requires a T parameter for secure authentication, ensuring only authorized users can access sensitive market data. This feature provides peace of mind for developers integrating the API into production environments like financial portals or trading systems.

Query Parameters:

Parameter	Meaning	Data Type
T	Application Key which authenticates you with cloudquote (required)	Base64 string
symbol	One or more symbols to look up, separated by commas. (ex: GOOG,AAPL)	String

JSON Response:

The response is an object, containing the following keys:

Parameter	Meaning	Data Type
rows	A collection of quote results, in the same order as the symbols requested	Array of Object
rows[...]	A single stock quote	Object

Fields in rows[...] Object:

Field	Meaning	Data Type
AfterHoursPrice*	After Market Hours Price	Number
AfterHoursTradeTime*	After Market Hours Last Trade Time	Unix Epoch Time
AnnualDividend*	Annual Dividend	Number
Ask	Latest Asking Price	Number
AskSize	Latest Asking Price Size	Number
AvgVolume1M	Average Volume (Trailing 1 Month)	Number
AvgVolume1W	Average Volume (Trailing 1 Week)	Number
AvgVolume3M	Average Volume (Trailing 3 Month)	Number
AvgVolume52	Average Volume (Trailing 52 Weeks)	Number
AvgVolume6M	Average Volume (Trailing 5 Month)	Number
AvgVolumeYTD	Average Volume (Since Jan 1)	Number
Bid	Latest Bid Price	Number
BidSize	Latest Bid Price Size	Number
Change	Daily Price Change	Number
ChangePercent	Daily Price Change in Percent	Number
ChartEndTime	The time to end a chart of this security at	Unix Epoch Time
ChartStartTime	The time to start a chart of this security at	Unix Epoch Time
Delay	Delay in minutes for the exchange	Number
EPS*	Earnings Per Share	Number
ExchangeDefaultCurrency	Default Currency of Exchange	String
ExchangeName	Name of Exchange	String
ExchangePrefixCode	Prefix Exchange Code	String
ExchangeShortName	Short Name of Exchange	String
High	Today's High price	Number
High1M	High Price (Trailing 1 Month)	Number
High1MDate	One Month High Price Date	Unix Epoch Time in ms
High1W	High Price (Trailing 1 Week)	Number
High1WDate	One Week High Price Date	Unix Epoch Time in ms
High3M	High Price (Trailing 3 Month)	Number
High3MDate	Three Month High Price Date	Unix Epoch Time in ms
High52	High Price (Trailing 52 Weeks)	Number
High52Date	52 Week High Price Date	Unix Epoch Time in ms
High6M	High Price (Trailing 6 Month)	Number
HighYTD	High Price (Since Jan 1)	Number
LastTradeTime	Time of Last Trade	Unix Epoch Time
LatestDividend*	Latest Dividend	Number
LatestDividendDate*	Latest Dividend Date	Date (YYYYMMDD)
LessRecentClose	Close Price before Most Recent Close	Number
LessRecentCloseDate	Date of Close Price before Most Recent Close	Unix Epoch Time in ms
Low	Today’s Low Price	Number
Low1M	Low Price (Trailing 1 Month)	Number
Low1MDate	One Month Low Price Date	Unix Epoch Time in ms
Low1W	Low Price (Trailing 1 Week)	Number
Low1WDate	One Week Low Price Date	Unix Epoch Time in ms
Low3M	Low Price (Trailing 3 Month)	Number
Low3MDate	Three Month Low Price Date	Unix Epoch Time in ms
Low52	Low Price (Trailing 52 Weeks)	Number
Low52Date	52 Week Low Price Date	Unix Epoch Time in ms
Low6M	Low Price (Trailing 6 Month)	Number
Low6MDate	Six Month Low Price Date	Unix Epoch Time in ms
LowYTD	Low Price (Since Jan 1)	Number
MostRecentClose	Most Recent Closing Price	Number
MostRecentCloseDate	Most Recent Closing Price Date	Unix Epoch Time in ms
MovingAverage200	Average Price Over Last 200 Trading Sessions	Number
MovingAverage50	Average Price Over Last 50 Trading Sessions	Number
Name	Security Name	String
Open	Today's Open price	Number
PrevClose	Closing Price from the previous trading day	Number
Price	Latest price for the security	Number
SecurityTypeCode	Code Name of Security Type (ex. STOCK,FUND, etc.)	String
SecurityTypeName	“Pretty” Name of Security Type (ex. “Stock”, “Mutual Fund”, etc.)	String
SharesOutstanding*	Shares Outstanding	Number
ShortName	Short Security Name	String
StartingPrice1M	Starting Price (Trailing 1 Month)	Number
StartingPrice1W	Starting Price (Trailing 1 Week)	Number
StartingPrice3M	Starting Price (Trailing 3 Month)	Number
StartingPrice52	Starting Price (Trailing 52 Weeks)	Number
StartingPrice6M	Starting Price (Trailing 6 Month)	Number
StartingPriceYTD	Starting Price (Since Jan 1)	Number
Symbol	Primary Symbol (may be different than requested symbol)	String
SymbolID	Symbol Identifier (FinancialContent unique ID)	String
TTMDividend*	Trailing 12 Month Dividend	Number
Volume	Today's Cumulative Volume	Number
YTDDividend*	Year to Date Dividend	Number

*Fields only available when proper entitlements are enabled.

Use Cases

• 📈 Real-Time Trading Dashboards - Display live stock prices and metrics for traders.
  Developers can use fields like Price, Bid, Ask, and Volume to create dynamic dashboards that provide real-time market updates, enabling traders to make quick, informed decisions based on the latest stock data.

• 📊 Portfolio Monitoring Tools - Track performance across multiple securities.
  By querying multiple symbols, users can build portfolio trackers that display key metrics like ChangePercent, High52, and Low52, helping investors monitor real-time performance and compare assets against historical benchmarks.

• 🧠 Technical Analysis Platforms - Power charting tools with moving averages and price ranges.
  The API’s MovingAverage50 and MovingAverage200 fields, along with High1M and Low1M, enable developers to create advanced charting tools for technical analysis, supporting traders in identifying trends and potential entry/exit points.

• 🔍 Investor Research Applications - Provide detailed stock insights for fundamental analysis.
  Fields like EPS, AnnualDividend, and SharesOutstanding allow researchers to build tools that deliver comprehensive stock profiles, aiding investors in evaluating securities based on fundamental metrics and market trends.

• 🌐 Market Watch Widgets - Embed real-time quotes in financial websites.
  Developers can integrate fields like Price, Change, and ExchangeName into widgets for financial portals, providing users with concise, up-to-date stock information that enhances engagement on news or investment sites.

• 🤖 AI-Powered Predictive Trading Models - Leverage real-time data for machine learning algorithms.
  Developers can use fields like Price, Volume, ChangePercent, MovingAverage50, and MovingAverage200 to train AI models that predict stock price movements or identify trading signals, enabling automated trading systems or algorithmic strategies.

• ⚖️ AI-Driven Portfolio Optimization - Optimize investment portfolios using AI.
  By combining fields like EPS, AnnualDividend, High52, Low52, and Volume with machine learning, developers can build tools that automatically adjust portfolio allocations based on real-time market trends and risk profiles, enhancing investment decision-making.

• ⚡️ Quantitative Trading Strategies - Develop high-frequency and algorithmic trading systems.
  Quantitative traders can leverage fields like Price, Bid, Ask, Volume, and ChangePercent, along with historical data such as High1M, Low1M, and MovingAverage50, to build sophisticated trading algorithms. These algorithms can execute rapid trades based on statistical arbitrage, momentum strategies, or market microstructure analysis, capitalizing on real-time market inefficiencies.

Why Choose FinancialContent's getQuote API?

• 🚀 Unmatched Reliability - Consistent access during market hours and beyond.
  With 99.99% uptime, the API ensures uninterrupted data delivery, even during high-volatility periods. Developers can rely on it for mission-critical applications like live trading platforms or investor tools.

• 🔄 Flexible Data Integration - Seamlessly combine real-time and historical data.
  The API integrates effortlessly with other FinancialContent APIs, allowing users to blend real-time quotes with historical tick or price data, creating comprehensive solutions for market analysis and visualization.

• 📈 Scalable Query Handling - Process multiple symbols efficiently.
  Designed to handle high-volume requests for multiple symbols, the API scales seamlessly to support enterprise-grade applications, from small retail investor tools to large-scale financial platforms.

• 📚 Developer-Friendly Resources - Robust documentation and expert support.
  FinancialContent provides detailed API guides, code samples, and responsive support to ensure smooth integration. Our resources empower developers to quickly implement the API for any use case, from prototyping to production.

Optimized for High-Speed Access

The getQuote API is built for performance, adhering to industry-leading best practices for rapid data delivery. Our RESTful endpoints use lightweight JSON formatting to minimize payload size, enabling fast parsing and low bandwidth usage. Global edge servers reduce latency for users worldwide, while intelligent caching accelerates repeated queries. Rate limiting and optimized pagination ensure stability under heavy traffic, and asynchronous request handling supports efficient processing of multi-symbol queries. This performance-driven design ensures developers can deliver real-time, responsive applications with minimal delays.

Sample Request

GET /api/getQuote?T=your_base64_key&symbol=GOOG,AAPL

Sample Response (JSON)

{
  "rows": [
    {
      "Symbol": "GOOG",
      "Price": 2500.75,
      "Bid": 2500.50,
      "Ask": 2501.00,
      "Volume": 1200000,
      "ChangePercent": 0.85,
      "MostRecentClose": 2498.30,
      "MovingAverage50": 2450.20,
      "ExchangeName": "NASDAQ",
      ...
    },
    {
      "Symbol": "AAPL",
      "Price": 125.07,
      "Bid": 124.90,
      "Ask": 125.20,
      "Volume": 112117500,
      "ChangePercent": -0.45,
      "MostRecentClose": 125.63,
      "MovingAverage50": 123.80,
      "ExchangeName": "NASDAQ",
      ...
    }
  ]
}