Intraday Stock Data Definition, Examples & Datasets

Intraday Stock Data Explained

How is Intraday Stock Data collected?

The easiest way to collect intraday stock data from the securities trading markets is to buy from a historical data provider. There are many brokerage platforms & financial news outlets which provide raw intraday data. The raw intraday stock market is then provided via data exchange platforms on-demand.

Financial market data vendors provide stock datasets that are either country-specific or global. The chosen geographic coverage depends on the individual data use case.

Some intraday stock data brokers also offer a DDE connection to their trading platform. DDE connections enable real-time intraday stock data streaming. A stock trader can take advantage of this real-time connection to capture data using automated algorithms.

Common Attributes

An intraday stock data feed shows the opening price of shares for the given day. The data reveals the highest price the shares have reached. It also shows the lowest price stocks have fallen to in the course of the trading period of one day.

An intraday stock dataset also shows the closing price of the shares after a regular day of trading. The data will include the precise date of the observation of the trading period. It’ll also indicate surrounding stock market sentiment at the time.

Lastly, intraday stock data informs investors of the number of shares bought or sold during a trading day.

What are Examples of Intraday Trading Data?

Examples of intraday stock data include real-time stock prices, volume traded, bid and ask prices, and time-stamped trade data. All of these data points enable traders, analysts, and researchers to analyze short-term price movements, identify patterns, and make informed trading decisions.

What is Intraday Stock Data used for?

Intraday stocks data monitors price movements. Traders maps these movements and display in charts. Using these charts, short-term traders can decide on the right time to enter or exit a regular day trading session. Intraday data also empowers trader to form larger stock price datasets which look back on a historical trading period.

What is an Intraday trading example?

Thanks to advanced electronic exchanges, day trading has become a popular form of speculation. Traders can conduct transactions with a simple click of a button from the day opening to close.

More widely, intraday stock data enables traders to develop better trading strategies. Namely, strategies for short interest trading. Looking at the data over time, they can capitalize on short-range price variations.

Additionally, intraday stock data applies when trading options. Option prices do not fluctuate as often as the underlying stock prices. For this reason, stock traders use intraday price data to figure out the precise moment when the option is mispriced compared to the stock.

How can a user assess the quality of Intraday Stock Data?

The quality of intraday stock data depends on whether the data provides a real-time overview of the trading session for a given stock market. A good quality intraday stock API provides second-by-second (or even millisecond) information of stock trading volume. This way, stock traders have an up-to-date view of the intricate process of price fluctuations in equity markets.

Another quality aspect of intraday stock data is whether it separates key market trends from surrounding noise. This data clarity ensures traders capitalize on important developments and enter or exit in good time.

Lastly, high quality intraday stock data will outline the liquidity, volatility and correlation of a given stock on the market.