The Historical McDonalds Corporation Stock Data API allows users to programmatically retrieve McDonald’s (MCD) historical stock data, including daily opening and closing prices, highs, lows, adjusted close values, and trading volumes. The API is designed for financial analysts, developers, and data scientists who need reliable stock performance data for research, backtesting trading strategies, financial modeling, or visualization.
[
{
"years": [
2025,
2024,
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016,
2015,
2014,
2013,
2012,
2011,
2010,
2009,
2008,
2007,
2006,
2005,
2004,
2003,
2002,
2001,
2000,
1999,
1998,
1997,
1996,
1995,
1994,
1993,
1992,
1991,
1990,
1989,
1988,
1987,
1986,
1985,
1984,
1983,
1982,
1981,
1980,
1979,
1978,
1977,
1976,
1975,
1974,
1973,
1972,
1971,
1970,
1969,
1968,
1967
]
}
]
curl --location --request POST 'https://zylalabs.com/api/10110/historical+mcdonalds+corporation+stock+data+api/19313/fetch+years+available+in+dataset' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[
{
"Year": 1998,
"Average Stock Price": 16.4655,
"Year Open": 12.5852,
"Year High": 20.8109,
"Year Low": 11.9906,
"Year Close": 20.4123,
"Annual % Change": 61.77
}
]
curl --location --request POST 'https://zylalabs.com/api/10110/historical+mcdonalds+corporation+stock+data+api/19316/get+mcdonalds+corporation+price+by+year' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"year":"Required"}'
[
{
"Date": "Jun 3, 2024",
"Open": 257.93,
"High": 259.95,
"Low": 255.6,
"Close": 259.75,
"Adj Close": 252.36,
"Volume": 4342800
},
[]
]
curl --location --request POST 'https://zylalabs.com/api/10110/historical+mcdonalds+corporation+stock+data+api/19322/get+mcdonald%27s+historical+stock+price+by+date' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"date":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Historical McDonalds Corporation Stock Data API provides historical stock data including daily opening and closing prices, highs, lows, adjusted close values, and trading volumes for McDonald's (MCD).
The data returned by the Historical McDonalds Corporation Stock Data API is typically in JSON format, allowing for easy integration and manipulation within various programming environments.
The Historical McDonalds Corporation Stock Data API can be used for various applications such as financial analysis, backtesting trading strategies, financial modeling, and data visualization to assess McDonald's stock performance.
The API's output includes specific data fields such as date, opening price, closing price, high price, low price, adjusted close value, and trading volume for each trading day.
Developers can integrate the Historical McDonalds Corporation Stock Data API by making HTTP requests to retrieve historical stock data, which can then be processed and displayed in their applications for analysis or visualization.
This endpoint returns a list of years for which McDonald's Corporation stock data is available. The response includes an array of years, allowing users to identify the range of historical data they can access.
The response includes fields such as Year, Average Stock Price, Year Open, Year High, Year Low, Year Close, and Annual % Change, providing a comprehensive overview of stock performance for the specified year.
The response is structured as an array of objects, each containing fields like Date, Open, High, Low, Close, Adj Close, and Volume. This organization allows users to easily access and analyze daily stock performance data.
Users must provide a specific date as a parameter to retrieve historical stock data for that day. The date must fall within the range from September 9, 2020, to September 9, 2025.
Users can analyze the historical stock data to identify trends, calculate performance metrics, or visualize stock price movements over time. For example, they can compare annual changes or assess daily fluctuations.
Typical use cases include conducting financial analysis, backtesting trading strategies, performing risk assessments, and creating visualizations to track McDonald's stock performance over time.
The API sources its data from reliable financial markets and institutions, ensuring that the historical stock data is accurate and up-to-date. Regular quality checks are performed to maintain data integrity.
Users should verify the parameters used in their request, ensuring they fall within the valid range. If results are still empty, it may indicate no trading activity on that date or year, which is common during market closures.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
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The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
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