The Scenario
You manage a portfolio tracking workbook with 40 tickers in column A. Your PM asked for a one-year performance review before next Thursday's investment committee meeting, and the first thing you need is the full OHLCV history for every position — open, high, low, close, volume, daily — going back 252 trading days.
The bad version:
- Log into Nasdaq Data Link, type the first ticker into the time-series explorer, set the date range, download the CSV, open it in Excel, fix the date format, paste close and volume into the right columns.
- Repeat for tickers 2 through 40, pausing each time the CSV columns don't line up with the previous one.
- Realize on ticker 23 that one of the symbols was delisted mid-year, find the replacement, rerun that row, and reconcile the date gaps manually.
Performance review prep wasn't supposed to be a three-hour data collection job. The analysis is supposed to start when the data's in the workbook — not after it is.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your ticker column, calls Nasdaq Data Link for each symbol in sequence, and writes the results back — OHLCV rows structured and labelled without you touching a single API call.
Fetch historical OHLCV data from Nasdaq for each ticker in my Excel sheet and populate a table with daily close prices and volume for each stock going back 6 months
What You Get
- Rows populated starting at B2, with a header row: Date, Open, High, Low, Close, Volume
- One block per ticker, labelled by symbol so the structure stays coherent across the full watchlist
- Any ticker that returns an empty result (delisted, no data in range) gets a note in the adjacent cell rather than silently failing
- Volume figures written as integers; price columns written to two decimal places matching Nasdaq's output format
What If the Data Is Not Quite Ready
The date range needs to be shorter for a subset of tickers
Some of your positions were initiated in the last 6 months. Pulling 252 days for those returns partial data that distorts the comparison.
For tickers in column A where the start date in column B is more recent than 252 trading days ago, pull only from that start date to today; for all others pull the full 252 days — write date, open, high, low, close, volume starting at column C
The tickers include both equities and ETFs and the column headers need to be consistent
Your list mixes single stocks and ETFs. You want a unified header row that works for both.
Pull end-of-day OHLCV data from Nasdaq Data Link for all tickers in column A going back 180 trading days — write a single consistent header row at row 1 (Date, Open, High, Low, Close, Volume) and populate data starting at row 2, regardless of whether the ticker is an equity or ETF
You need close prices only, one column per ticker, all dates aligned in column A
Your model expects a transposed layout: dates in column A, each ticker's close price in its own column.
For each ticker in row 1 of my workbook, pull the last 252 trading days of end-of-day close prices from Nasdaq Data Link and write them into the corresponding column, with dates aligned in column A — all tickers should share the same date index
You want the full OHLCV pull plus a calculated 20-day moving average on close
For every ticker in column A, pull end-of-day OHLCV from Nasdaq for the past 252 trading days, write date, open, high, low, close, and volume starting at column B, then add a column G with the 20-day rolling average of the close price, leaving the first 19 rows of column G blank
The pattern: fetch the raw data and compute the derived metric in the same prompt. SheetXAI handles the rolling calculation inline rather than requiring a second pass.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a list of stock tickers, then ask it to pull a year of OHLCV data from Nasdaq Data Link for every position in one shot. You can also explore the spoke on pulling analyst ratings or the Nasdaq integration overview.