To use this API, users must indicate a ticker and a date.

The US Stock Exchanges API provides access to data and functionality related to US stock exchanges.

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Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

With a US Stocks Exchange API, you can access a wide range of data, such as real-time stock quotes. This data is crucial for making informed investment decisions and performing in-depth market analysis.

The GET Daily OpenClose endpoint returns detailed stock price data for a specified date, including the opening price, closing price, high, low, volume, after-hours price, and pre-market price for the given stock symbol.

The key fields in the response data include "open," "close," "high," "low," "volume," "afterHours," and "preMarket," which provide comprehensive insights into the stock's performance on the specified date.

The response data is structured in JSON format, with key-value pairs representing various price metrics. For example, a typical response includes fields like "symbol," "from," "open," "close," and others, making it easy to parse and utilize.

Users can specify the stock symbol (ticker) and the date of interest as parameters when making a request to the GET Daily OpenClose endpoint, allowing for targeted data retrieval.

The GET Daily OpenClose endpoint provides historical price data, including opening and closing prices, high and low prices, trading volume, and after-hours trading prices for a specific stock on a given date.

Users can analyze the returned data to assess stock performance, identify trends, and make informed investment decisions. For instance, comparing opening and closing prices can indicate market sentiment for that day.

The data is sourced from reliable financial market feeds, ensuring accuracy and timeliness. This helps maintain the integrity of the information provided through the API.

Typical use cases include evaluating historical stock performance for investment decisions, conducting market analysis, and developing trading strategies based on past price movements and trends.

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