Price indicator (Historical) Formula in Excel
Price indicators can help investors track historical share price growth and predict market direction. With the MarketXLS add-in, you can easily retrieve and analyze historical price data using the Price indicator (Historical)
formula in Excel.
Understanding Price indicator (Historical)
- The Price indicator (Historical) is designed to provide key insights into an asset’s historical pricing trends.
- You can use this formula to compare past earnings and share price performance over specific periods.
- It helps with identifying patterns, evaluating growth, and making more informed investment decisions.
Syntax and Parameters
=hf_Price_Indicator(Symbol, year, [quarter], [TTM])
Parameter | Description | Required | Example |
---|---|---|---|
Symbol |
Ticker symbol of the asset, such as equity ("MSFT"), index ("^SPX"), option ("@MSFT 110122C00020000"), or crypto ("BTCUSD:DEFAULT"). | Yes | "MSFT" |
year |
The reporting year or special keyword. For instance, "2022", "lq" (last quarter), "ly" (last year), etc. |
Yes | "2022" |
quarter |
Calendar quarter (1, 2, 3, or 4). Defaults to "1" if omitted. |
No | 3 |
TTM |
Optional parameter for Trailing Twelve Months. If specified as "TTM" , calculates data for TTM from that quarter. |
No | "TTM" |
?? Note:
If the symbol is invalid or your license plan does not support retrieving this data, the function will return"NA"
.
Return Value
• The function typically returns a numeric value showing the price indicator for the specified period. If data is not available or an error occurs, it returns "NA"
.
Date Input Flexibility
You can reference dates in various ways:
- Cell references:
=hf_Price_Indicator(A1, A2)
- Direct dates:
=hf_Price_Indicator("MSFT", "2024-03-15")
- Excel date functions:
=hf_Price_Indicator("MSFT", TEXT(A1,"yyyy-mm-dd"))
? Pro Tip: Use these different date formats to streamline calculations across multiple cells and scenarios.
Examples and Usage
Below are a few practical examples illustrating how to use Price indicator (Historical)
in Excel:
-
Retrieve historical price indicator for a specific year:
=hf_Price_Indicator("MSFT", "2022")
Returns the historical price indicator data for 2022.
-
Specify year and quarter:
=hf_Price_Indicator("MSFT", "2022", 2)
Returns the Q2 2022 indicator for MSFT.
-
Trailing Twelve Months indicator for a quarter:
=hf_Price_Indicator("MSFT", "2022", 3, "TTM")
Evaluates the trailing twelve months from Q3 2022.
-
Using shortcuts like last quarter (lq) and last year (ly):
=hf_Price_Indicator("MSFT", "lq-1")
Returns the price indicator for one quarter before last quarter.
-
For crypto and indices:
=hf_Price_Indicator("BTCUSD:DEFAULT", "2022", 2) =hf_Price_Indicator("^SPX", "ly")
?? Note: These shortcuts ("lq", "ly", "lt") let you quickly reference the last quarter, last year, or last twelve months.
Common Questions
-
Why do I get “NA”?
- You might have an invalid ticker symbol, your subscription plan may not include this data, or the data might not be available for the requested period.
-
How do I speed up calculations in Excel?
- Reduce unnecessary recalculations by limiting the number of feeds updating simultaneously, and use cell references consistently to streamline your spreadsheets.
-
Can I compare multiple symbols at once?
- Yes, reference multiple cells containing the symbol/period combinations you want to analyze, then drag to fill the formula across columns or rows.
-
Do special date shortcuts carry over quarter transitions automatically?
- The function automates certain lookbacks but may require adjustments at quarter-end. Double-check the results if your data crosses quarter boundaries.
-
What other MarketXLS historical fundamentals can I use?
- Some related functions include Revenue (Historical), Cost Of Revenue (Historical), Gross Profit (Historical), and R & D Expenses (Historical). They can be combined for deeper financial analysis.
? Pro Tip: Combine
Price indicator (Historical)
with other historical fundamentals in pivot tables or dashboards to identify correlations and strengthen your analysis.