Automating a Google Sheets journal

[Shadow Trader]

Google Sheets is a popular journal home, since it's free, accessible anywhere and easy to share. With a bit of automation, it can go from tedious to nearly effortless.

Options include importing platform exports with a script, using add-ons that connect to brokers or accept CSV uploads, and using built-in functions to compute statistics. Formulas such as QUERY, ARRAYFORMULA and PIVOT tables make summary views dynamic.

A tidy design keeps raw data on one tab, never edited by hand, and analysis on others, built entirely from formulas. That way, pasting a new export refreshes everything.

Apps Script, Google's scripting layer, allows scheduled tasks like emailing a weekly summary or pulling data from an API. It takes some JavaScript knowledge, but examples are plentiful.

Considerations: privacy of financial data stored in the cloud, limits on sheet size and performance with tens of thousands of rows, and the risk of accidental edits.

For larger datasets or more complex analysis, moving to a database or notebook is the natural next step.

A neat trick is a "data quality" tab that flags suspicious rows: negative holding times, trades with missing stops, prices far from the day's range, duplicated tickets. A glance at the flags after each import catches errors before they contaminate the statistics.

How is the journal automated, and what part of the process still needs manual work?