Historical Tick-by-Tick Stock Market Data

FinFeedAPI provides T+1 historical stock market data from 40+ global exchanges, including IEX and Euronext, covering over 11,000 listed companies. The API delivers Level 1, Level 2, and Level 3 order book data with nanosecond-precision timestamps, with historical depth varying by exchange to support research, backtesting, and compliance use cases.
Get API KeySee Pricing
background

11K+
background
Companies
99.9
%
background
SLA uptime
50
TB
background
Historical market data
25
background
Integrations in progress

What data will you get?

background
Historical Stock Prices (T+1)
Access T+1 historical equity price data for supported symbols across global exchanges. Price history is available through OHLCV endpoints with configurable time ranges and periods.
background
Tick-by-Tick Event Data
Retrieve tick-level market events where each message includes nanosecond-precision timestamps. Timing is based directly on raw exchange feeds for accurate event sequencing.
background
Trade Data
Retrieve tick-level market events where each message includes nanosecond-precision timestamps. Timing is based directly on raw exchange feeds for accurate event sequencing.
background
Level 1 Market Data (Quotes)
Access best bid and best ask quotes, including prices, sizes, and timestamps. Level 1 data is available per symbol and date through the Level 1 Quotes endpoint.
background
Level 2 Market Data (Price Level)
Retrieve aggregated depth-of-book data showing available liquidity across multiple price levels. Level 2 data groups orders by price level rather than individual orders.
background
Level 3 Market Data (Order Book)
Access the full order book with individual orders, including order-level updates and timestamps. Level 3 data provides the most detailed view of market activity where supported by the exchange.
background
Administrative Market Messages
Receive exchange administrative messages such as trading halts, auction information, directory updates, and short-sale restrictions. Admin messages are available per symbol and trading date.
background
System-Level Exchange Events
Access system events including session start, market open, market close, and full-session boundaries. These events provide context for intraday market behavior and session-level analysis.
background
OHLCV Time-Series Data
Retrieve OHLCV candle data returned in time-ascending order for configurable periods. Supported intervals include seconds, minutes, hours, days, months, and years, depending on the exchange.
background
Latest OHLCV Snapshots
Access the most recent OHLCV data points for a given symbol and period. The Latest endpoint acts as a shortcut to historical OHLCV with automatically derived time ranges.

How do you query and work with FinFeedAPI stock market data?

FinFeedAPI stock data is accessed by querying specific endpoints by symbol and trading date, allowing to request only the data they need. APIs are organized by data type - such as trades, quotes, order books, administrative messages, system events, and OHLCV - making it easy to build repeatable workflows for research, backtesting, and compliance without downloading unnecessary data.
Read Docs
background

Stock API allows you to...

Reconstruct full market depth for a trading day
Use Level 3 order book, Level 2 price levels, and Level 1 quotes to replay the complete order book for a symbol and date.
Analyze intraday trading activity at tick level
Work with tick-by-tick trades and quotes carrying nanosecond-precision timestamps to study spreads, execution quality, and short-term price dynamics.
Correlate trades, quotes, and order book changes
Combine trade data, quotes, and order book updates for the same symbol and session to analyze how order flow impacts price movement.
Identify market events and trading interruptions
Retrieve administrative messages such as halts, auctions, and short-sale restrictions and align them with price and volume changes.
Segment analysis by trading sessions
Use system-level exchange events (market open, market close, session boundaries) to separate pre-market, regular, and post-market behavior.

Use cases

Use Case: AI Agents

AI agents rely on accurate, structured stock market data to analyze trends, make predictions, and automate decisions, but inconsistent data formats and delayed feeds limit their effectiveness. Developers often face challenges sourcing reliable historical market data through APIs that are flexible enough for AI-driven workflows.

Learn how we solved that
background

Let's Chat!

  • Not sure if our solutions solve your problem? We'd be happy to check it.

  • Need help choosing? Our sales team is ready to help you select the right product and plan that best suits your business's needs.

  • Looking for a quote on an enterprise plan? Request an estimate today.

  • We’re ready to address all your questions and concerns. Submit a form and we will get back to you right away! Request an estimate today.

Contact details
What products are you interested in?

By completing and submitting this form, I agree to receive marketing emails.

You can unsubscribe or update your preferences at any time.

Your personal data will be processed in accordance with the Privacy Policy.

Recent Articles

background
General Knowledge

The Beginner’s Guide to Event Risk: Earnings, Filings, and Election Shocks

Learn how earnings reports, SEC filings, and elections create sudden market volatility. See how traders use real-time data and prediction markets to track shifting expectations before markets fully react.
background
General Knowledge

From News to Markets: The 4 Data Layers That Move Prices

Price is just the final chapter; to stay ahead, you must track how data flows from filings and predictions into stocks and FX. This is the "momentum of truth" that defines every market move.
background
Exchanges

Myriad Markets Explained: On-Chain Prediction Trading With Real Liquidity

Myriad Markets is an on-chain prediction platform where users trade event outcomes using stablecoins and non-custodial wallets. It combines AMM pricing with order book trading to deliver real-time probability signals.
background
Exchanges

Manifold Markets: How a Play-Money Prediction Exchange Actually Works

Manifold Markets is a prediction platform where users trade on future events using virtual currency instead of real money. Its flexible, user-created markets and instant pricing system make it a fast, experimental space for tracking how people think about the future.
background
Exchanges

What Is Kalshi? Inside the First Regulated Prediction Market Exchange

What Is Kalshi? Understanding Regulated Prediction Market Data and How to Use It.
background
Exchanges

Inside Polymarket: Data, APIs, and Real-World Use Cases

Polymarket is a decentralized prediction market that turns real-world events into live, tradable probabilities. Developers use Polymarket data for real-time signals, analytics, trading systems, and AI.
background
API technology

Why Use MCP Instead of a Standard API Integration?

MCP exposes APIs as structured tools, so AI agents and bots can discover, validate, and query data automatically without manual integration or hardcoded logic.
background
General Knowledge

Best Ethereum APIs – How Developers Actually Build Data Stacks

Building on Ethereum now requires multiple APIs across chains. This guide covers the key ones and how FinFeedAPI adds a forward-looking data layer.
background
Use Case

How AI Agents Can Use MCP to Fetch Currency Data Without Custom Integrations

Most AI agents fail not because they’re not smart, but because they can’t access data cleanly. MCP changes that.
background
How to

7 Mistakes Teams Make When Using Exchange Rates in Production

Currency conversion works in demos but often breaks in production. Learn the most common exchange rate mistakes and how to fix them.
background
How to

Real-Time vs Historical Exchange Rates: Which One Should Your App Use?

Learn the difference between real-time and historical exchange rates, and how to use each correctly in pricing, checkout, and financial reporting.
background
How to

How to Calculate VAT, GST, or Sales Tax After Currency Conversion

Small mistakes in currency conversion can lead to big tax inconsistencies. Here’s how to avoid mismatched totals and broken checkout experiences.