Access 1-Minute Stock Tick Data for the Last Month

This API empowers developers to build responsive applications for a variety of use cases: high-frequency trading algorithms that capitalize on minute-by-minute price movements, dynamic intraday charting tools for visualizing market trends, volatility analysis for risk assessment, trade reconstruction for compliance, real-time dashboards for live stock metrics, AI-driven predictive modeling to forecast short-term price trends, and AI-enhanced anomaly detection to identify unusual trading patterns.

Key Features

• ⏱️ High-Resolution 1-Minute Intervals - Capture intraday stock movements with minute-by-minute precision.
  Users can retrieve tick data at 1-minute intervals, enabling detailed analysis of price and volume fluctuations within a trading day. This granularity is ideal for applications like high-frequency trading systems or intraday charting tools, where every minute of market activity matters.

• 📈 Support for Multiple Symbols - Query tick data for individual securities with ease.
  By specifying a single stock symbol (e.g., GOOG), users can access comprehensive intraday data for that security, streamlining workflows for traders or analysts focusing on specific stocks. This targeted approach ensures efficient data retrieval for applications like stock monitoring dashboards.

• 🗓️ Customizable Date Range - Fetch data within a 30-day historical window.
  Developers can define precise time periods using ISO 8601 formatted from and to parameters, allowing for tailored data extraction within the last month. This flexibility supports use cases like analyzing recent market volatility or reconstructing intraday trading sessions.

• 🔐 Secure Authentication - Access data with a Base64-encoded application key.
  The API requires a T parameter for authentication, ensuring secure and authorized access to tick data. This feature allows developers to integrate the API confidently into production environments, protecting sensitive financial applications from unauthorized use.

Available Data Fields

Each API call returns a sparse collection of intraday stock data with the following columns. Always reference the columns array when parsing to ensure correct data mapping, as column order may vary.

JSON Response:

• The response is an object, containing the following keys:

Parameter	Meaning	Data Type
rows	A sparse collection of intraday stock data, with one row for each trading interval	Array of Array
rows[...]	A trading Interval	Array
columns	The list of column names which correspond to each row	Array of String

Columns:

• Please make sure to reference the columns array when parsing the data - do not assume that the data in the rows will always be in a particular order.

Name	Meaning	Data Type
Time	Timestamp of trade	Javascript Epoch Time (milliseconds since Jan 1, 1970 UTC)
Price	Price of security	Double
Volume	Cumulative Volume	64 Bit Integer

Query Parameters:

Parameter	Meaning	Data Type
T	Application Key which authenticates you with cloudquote (required)	Base64 string
symbol	One symbols to look up (ex: GOOG)	string
from	The earliest date to retrieve historical data for (inclusive)	Date String - ISO 8601 format (2018-10-05T14:48:00.000Z)
to	The latest date to retrieve historical data for (inclusive)	Date String - ISO 8601 format (2018-10-06T14:48:00.000Z)

Use Cases

• ⚡️ High-Frequency Trading - Power real-time trading algorithms with granular tick data.
  Traders can feed 1-minute price and volume data into algorithmic models to execute rapid trades based on intraday patterns. The API’s high-resolution data supports strategies that capitalize on short-term price movements, enhancing profitability in fast-paced markets.

• 📊 Intraday Charting Tools - Build dynamic visualizations for minute-by-minute market activity.
  Developers can use the API to populate candlestick or line charts that display intraday price trends, enabling traders and investors to monitor real-time stock performance. This enhances user engagement on platforms requiring up-to-date market visuals.

• 🧠 Market Volatility Analysis - Analyze short-term price fluctuations for risk assessment.
  Researchers can leverage tick data to study intraday volatility patterns, using Price and Volume fields to calculate metrics like realized volatility. This supports risk management tools or academic studies focused on market dynamics.

• 🔨 Trade Reconstruction - Recreate historical trading sessions for compliance or analysis.
  Analysts can query specific time ranges to reconstruct minute-by-minute trading activity, aiding in post-trade analysis or regulatory reporting. The API’s precise timestamps ensure accurate recreation of market events.

• 📈 Real-Time Dashboards - Display live stock metrics for end users.
  By integrating tick data into dashboards, developers can create real-time widgets that show current prices and volumes, providing investors with actionable insights. This is ideal for financial portals aiming to deliver timely market updates.

• 🤖 AI-Driven Predictive Modeling - Forecast short-term price trends using machine learning.
  Developers can feed 1-minute tick data into AI models to predict intraday price movements, enabling proactive trading strategies or portfolio optimization for fintech applications.

• 🔍 AI-Enhanced Anomaly Detection - Identify unusual trading patterns with AI.
  By analyzing tick data with machine learning algorithms, developers can detect anomalies like sudden price spikes or irregular volume surges, supporting fraud detection or market surveillance systems.

Why Choose FinancialContent's getPriceTicks API?

• 🚀 Rock-Solid Reliability - Dependable access during critical trading hours.
  Built on a robust infrastructure, the API guarantees 99.99% uptime, ensuring uninterrupted data delivery even during volatile market conditions. Traders and developers can trust it for time-sensitive applications.

• 🔄 Seamless Data Integration - Combine intraday and historical data effortlessly.
  The API supports integration with other FinancialContent data feeds, allowing users to blend tick data with longer-term historical datasets. This is perfect for applications requiring both real-time and contextual market insights.

• 📈 High-Volume Scalability - Handle large queries with no performance drop.
  Designed to process requests for multiple symbols and extensive time ranges, the API scales efficiently to meet the demands of enterprise-grade platforms, from small fintech apps to large trading systems.

• 📚 Developer-Centric Support - Comprehensive resources and expert assistance.
  FinancialContent provides detailed documentation, sample code, and responsive support to streamline integration. Whether you’re a beginner or an expert, our team ensures you get the most out of the API.

Optimized for High-Speed Access

Engineered for performance, the getPriceTicks API adheres to industry best practices to deliver lightning-fast responses. Our RESTful endpoints use compact JSON formatting to minimize payload size, enabling rapid parsing and efficient bandwidth usage. We employ advanced caching to accelerate repeated queries, while our globally distributed edge servers reduce latency for users worldwide. Rate limiting and pagination are fine-tuned to maintain stability under heavy loads, and asynchronous request handling ensures smooth processing of large datasets. This performance-first design empowers developers to build responsive, real-time applications with minimal delays.

Sample Request

GET /api/getPriceTicks?T=your_base64_key&symbol=GOOG&from=2025-06-22T00:00:00.000Z&to=2025-07-22T23:59:59.999Z

Sample Response (JSON)

{
  "columns": ["Time", "Price", "Volume"],
  "rows": [
    [1719000000000, 2500.75, 12000],
    [1719000060000, 2501.20, 15000],
    ...
  ]
}