All Stacks Developer

To effectively track a stock investment portfolio, it is necessary to know its evolution in the past. As I use Google Sheets to track my stock investment portfolio, I have researched and successfully implemented several solutions. In this post, I am happy to share in detail how to compute the daily evolution of a stock investment portfolio by simply using only the available built-in functions in Google Sheets.

As I manage my stock investment portfolio in Google Sheets, I need to see its evolution over time, for example, in the last year. However, the computation for daily evolution is resource-consuming and might cause performance issues for the spreadsheet. As an alternative, I compute only the weekly evolution of the investment portfolio for the last year. For each week, I compute only the portfolio's value at the end of the Friday. For that, I need a Google Sheets formula to return the last Friday for a given date. This post explains how I do that with the WEEKDAY formula in Google Sheets.

I own and follow several stocks in my investment portfolio. I pick a reference price for each stock. To effectively track the movement of a stock, I need to visualize its 52-week prices based on the reference price that I determined. In this post, I explain how to do so with the SPARKLINE column chart in Google Sheets.

Anyone using Google Sheets to manage stock portfolio investment must know how to use the GOOGLEFINANCE function to fetch historical prices of stocks. As I have used it extensively to manage my stock portfolio investment in Google Sheets , I have learned several best practices for using the GOOGLEFINANCE function that I would like to share in this post.

The 52-week range price indicator chart shows the relative position of the current price compared to the 52-week low and the 52-week high price. It visualizes whether the current price is closer to the 52-week low or the 52-week high price. In this post, I explain how to create a 52-week range price indicator chart for stocks by using the SPARKLINE function and the GOOGLEFINANCE function in Google Sheets.

Many functions in Google Sheets return an array as the result. However, I find that there is a lack of built-in support functions in Google Sheets when working with an array. For example, the GOOGLEFINANCE function can return the historical prices of a stock as a table of two columns and the first-row being headers Date and Close. How can I ignore the headers or remove the headers from the results?

After selling a portion of my holdings in a stock, the cost basis for the remain shares of that stock in my portfolio is not simply the sum of all transactions. When selling, I need to decide which shares I want to sell. One of the most common accounting methods is FIFO (first in, first out), meaning that the shares I bought earliest will be the shares I sell first. As you might already know, I use Google Sheets extensively to manage my stock portfolio investment, but, at the moment of writing this post, I find that Google Sheets does not provide a built-in formula for FIFO. Luckily, with lots of effort, I succeeded in building my own FIFO solution in Google Sheets, and I want to share it on this blog. In this post, I explain how to implement FIFO method in Google Sheets to compute cost basis in stocks investing.

I have explained the idea of using Google Sheets functions to calculate internal rate of return (IRR) and net present value (NPV) for a stock portfolio . The process consists mainly of three steps: Identify cash flows from transactions managed in a Google Sheets spreadsheet Choose a discount rate based on personal preferences Apply XIRR and XNPV functions of Google Sheets In this post, I demonstrate step-by-step how to apply this process to calculate internal rate of return (IRR) and net present value (NPV) for a stock portfolio at 3 levels.

As a long-term investor, I need to know how to evaluate the performance of my stock portfolio. A simple return on investment calculation is not a good indicator for long-term investment because it does not take into account the holding duration, and cash flows involved during that period. A return on investment of 80% after 20 years is not as impressive as it sounds after 1 year. In this post, I explain the idea of using Google Sheets to calculate the internal rate of return (IRR) and the net present value (NPV) of a stock portfolio.

With transactions registered, it is easy to create a dividend income tracker with Google Sheets. However, a dividend income tracker in Google Sheets is not interactive. Instead of having different pivot tables and switching forth and back among them, I can create an interactive dividend income tracker with a single-page report on Google Data Studio. In this post, I explain how to create a dividend income tracker with Google Data Studio.