You’ll need historical stock data from companies all over the world to perform financial stock analysis. With the blessings of Excel, you can easily download or extract the data for your preferred stock values. In this tutorial, we will show you how to download historical stock data into Excel.
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7 Steps to Download Historical Stock Data into Excel
We’ve included a sample data set in the image below, which includes the company names as well as their stock names. We’ve got a start date of about three months ago and end date of today. Between the intervals, we will download the historical stock data of the three companies on a monthly basis. We’ll make sparklines with the closing values of the stock prices of the three companies. To do so, we’ll use Excel’s STOCKHISTORY function.
Step 1: Insert Stock Argument for STOCKHISTORY Function
- Select cell C5 to insert the stock name (MSFT) of the Microsoft Corporation.
Step 2: Insert Start Date and End Date
- In the start_date argument, select cell B10.
- For the end_date argument, select cell C10.
Step 3: Select Interval to Show Historical Data
- The interval argument returns how you want to get the historical data.
- 0 = daily interval.
- 1 = weekly interval.
- 2 = monthly interval.
- By default, it is set to zero (0). In our example, we will type 2 as we want to get the result in monthly
Step 4: Apply Headers to Classify the Columns
- To show headers in the result data table, define the header argument.
- 0 = no headers.
- 1 = show headers.
- 2 = show instrument identifier and headers.
- In our data set, we will select 1 to show headers.
Step 5: Enter Properties to Show in the Table
- The Properties argument defines what you want to see in the column headers. Generally, there are 6 properties [properties1-properties6] you can apply to.
- [properties1] = Date.
- [properties2] = Close (the closing stock price at the end of the day).
- [properties3] = Open (the opening stock price at the start of the day).
- [properties4] = High (the highest stock rate on that day).
- [properties5] = Low (lowest stock rate on that day).
- [properties6] = Volume ( Numbers of shareholders).
- We will enter the properties argument with the following formula:
- As a result, as shown in the image below, you will receive historical stock data for Microsoft Corporation.
Step 6: Get Historical Stock Data for Multiple Company
- In cell B12, type the following formula with the start_date ($B$10) and end_date ($C$10) in the absolute form.
- In cell E5, transpose the value of the closing price (C13:C15) with the following formula of the TRANSPOSE function.
- Therefore, you will get a transposed value of the range C13:C15.
- Use the AutoFill Tool to autofill the stock closing values of the two other companies ( Tesla and Amazon). Thus, cell E6 represents the stock closing value of Tesla on the date of 4/1/2022.
- In cell E9, to transpose the closing values with the dates, type the following formula with the TRANSPOSE function.
- Consequently, it will appear with the closing stock price along with their dates.
- To get only the dates, apply the previous formula nested with the INDEX function.
- Type 1 for the row_num (row number) argument.
- As a result, only the dates will appear in the row, as it was the first row.
- Press Ctrl + X to cut the date values.
- Then, press Ctrl + V to paste in cell E4.
Step 7: Create Sparklines for Historical Stock Data
- Select a cell.
- Click on the Insert tab.
- From the Sparklines group, select the Line option.
- In the Data Range box, select the range E5:G5 for the Microsoft Corporation.
- Finally, click OK.
- As a result, you will be able to create your first sparkline for Microsoft Corporation. This displays the stock price’s ups and downs at the intervals you specify.
- Simply drag the AutoFill Tool down to get the rest of the companies’ sparklines.
- Edit with a marker or color as you want to show the sparklines to be represented.
I hope this article has given you a tutorial about how to download historical stock data into Excel. All of these procedures should be learned and applied to your dataset. Take a look at the practice workbook and put these skills to the test. We’re motivated to keep making tutorials like this because of your valuable support.
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