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:

  1. Cell references:
    =hf_Price_Indicator(A1, A2)
  2. Direct dates:
    =hf_Price_Indicator("MSFT", "2024-03-15")
  3. 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:

  1. Retrieve historical price indicator for a specific year:

    =hf_Price_Indicator("MSFT", "2022")

    Returns the historical price indicator data for 2022.

  2. Specify year and quarter:

    =hf_Price_Indicator("MSFT", "2022", 2)

    Returns the Q2 2022 indicator for MSFT.

  3. Trailing Twelve Months indicator for a quarter:

    =hf_Price_Indicator("MSFT", "2022", 3, "TTM")

    Evaluates the trailing twelve months from Q3 2022.

  4. 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.

  5. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.