Video summary
Build a Stock Watchlist with Live Data in Google Sheets
Main summary
Key takeaways
Summary
The video demonstrates how to build a live stock watchlist in Google Sheets using GOOGLEFINANCE. The sheet updates when the user enters a valid, exchange-specific stock symbol.
Data fields
The watchlist includes:
- Open, daily high and low, previous close, and current price (LTP)
- Daily price and percentage change
- Trading volume, market capitalization, and P/E ratio
- 52-week high and low
- Performance over 5 and 30 days
- A configurable historical-price sparkline chart
Workflow and formulas
- Enter an exchange-specific stock symbol. The tutorial cautions that entering only a company name may not retrieve data correctly.
- Use
GOOGLEFINANCEattributes to retrieve price data and other available metrics. - Calculate the daily price change and format gains and losses with plus or minus signs and green or red colors.
- Retrieve a historical price for a selected lookback period, then calculate the return as the current price divided by the earlier price, minus one.
- Use a historical price series with
SPARKLINEto create an in-cell chart. The lookback period can be adjusted; examples include 100, 200, and 250 days. - Format market capitalization in crores, P/E as a multiple, and volume and 52-week values for readability. Apply alternating row colors to the completed table.
Assets and figures mentioned
- Stocks: IRFC, Bajaj Finance, and Tata Motors
- Lookback periods: 5 days and 30 days for performance; 100, 200, and 250 days for chart examples
- 52-week data: Highs and lows are included
- No specific stock prices, yields, valuation figures, or performance results are stated.
Cautions and disclosures
The tutorial recommends using an exchange-specific symbol because stock data may not populate if the symbol is entered incorrectly. No explicit financial-advice disclaimer is stated.
Presenter/source: The speaker is unnamed in the subtitles. The video is from Simple Tutorials.
Rate this summary
Your feedback will help improve summaries.
Improve this summary
Reprocess with a stronger model when the summary feels incomplete or inaccurate.
Translate summary in another language
Ask questions to this video
Chat for follow-up questions, clarifications, and source-backed answers.