Historical Low Price On A Date Formula in Excel

Begin utilizing the power of the Historical Low Price On A Date formula in Excel to quickly find the lowest traded price for a specific security on a given date. Whether you're looking to backtest trading strategies, track market movements, or compare different symbols' performance, this MarketXLS function streamlines the process right inside Excel.

Understanding Historical Low Price On A Date

The Historical Low Price On A Date formula helps you:

  • Retrieve the lowest daily trading price for a stock, index, option, or even crypto.
  • Easily reference cells for dynamic symbols and dates to perform real-time portfolio analysis.
  • Automate historical price lookups without manual data exports or web scrapers.

Key Benefits

  • Efficiently manage and monitor various securities within Excel.
  • Quickly generate historical performance reports and investment strategies.
  • Eliminate the hassle of switching between multiple data sources.

When to Use

  • Analyzing price trends for specific days.
  • Calculating performance metrics in your valuation spreadsheets.
  • Creating dashboards or trackers that depend on daily low prices.

Syntax and Parameters

Use the following syntax in Excel:

=Low_Historical(symbol, onDate)
Parameter Description Required Example
symbol The ticker symbol of the security (e.g., stocks, indices, etc.) Yes "MSFT", "^SPX", "BTCUSD:DEFAULT", "@MSFT 110122C00020000"
onDate The specific date for which you want the lowest price. Yes "2024-03-15", A2, or TEXT(A2,"yyyy-mm-dd")

?? Note: If an invalid symbol or date is used, or if the data is unavailable, this function returns "NA".

Return Value

The function returns a numeric value (lowest stock price for the specified date) if successful. Otherwise, it returns "NA".

Error Handling and Limitations

  • If the passed symbol is invalid or not recognized, the function returns "NA".
  • If onDate is a weekend or holiday, the function will default to "NA" unless special weekend handling is enabled.
  • Performance-wise, each new formula call fetches data from MarketXLS servers; consider caching or limiting multiple repeated calls.

? Pro Tip: Use references like =Low_Historical(A1, B1) to dynamically update your date and symbol without adjusting the formula syntax each time.

Examples and Usage

Below are some typical ways to use the Historical Low Price On A Date formula:

Basic Example

=Low_Historical("MSFT", "2020-11-19")

Retrieves Microsoft’s lowest price on November 19, 2020.

Using Cell References

Assume cell A2 contains the symbol and cell B2 contains the date:

=Low_Historical(A2, B2)

Using Direct Dates, Text Function, and Various Symbols

  1. Direct date entry:
    =Low_Historical("BTCUSD:DEFAULT", "2024-03-15")
  2. Using an Excel date function:
    =Low_Historical("^SPX", TEXT(A1,"yyyy-mm-dd"))
  3. For an option symbol:
    =Low_Historical("@MSFT 110122C00020000", "2023-10-01")

?? Note: Always ensure you’re using the correct date format (YYYY-MM-DD) to avoid errors.

Common Questions

  1. Why do I get “NA” for certain symbols?

    • The symbol could be unavailable or typed incorrectly. Double-check the symbol format and ensure it’s a valid listing.
  2. How do I handle weekends and holidays?

    • By default, if no trading data is found for a weekend or holiday, the formula returns “NA.” Check if a fallback date argument is supported or consider referencing the last trading day.
  3. Can I use this function in multiple cells without performance issues?

    • You can, but remember that each call requests data from MarketXLS servers. If you need to populate large datasets, consider using caching or a single reference cell for repeated usage.
  4. What if my license is invalid?

    • The function will return an error message indicating the license issue. Ensure your MarketXLS subscription is active.
  5. Can I combine this function with other Excel formulas?

    • Yes. You can nest or reference these results with other functions like AVERAGE, IF, or VLOOKUP to create comprehensive financial models.

? Pro Tip: Use conditional formatting to highlight unusually low or high prices over a range of dates for quick trend identification.