All Stacks Developer

The Last In, First Out (LIFO) method is an accounting method used to calculate the cost basis of a stock portfolio. It is the opposite of the First In, First Out (FIFO) method, where the oldest shares are sold first. In the LIFO method, the most recent shares are sold first. In the previous post Compute cost basis of stocks with FIFO method in Google Sheets , I explained how to implement FIFO method in Google Sheets to compute cost basis in stocks investing. In this post, I explain how to implement LIFO method in Google Sheets to compute cost basis in stocks investing.

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.

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.

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.

Correlation is a statistical relationship that measures how related the movement of one variable is compared to another variable. For example, stock prices fluctuate over time and are correlated accordingly or inversely to one another. Understanding stock correlation and being able to perform analysis are very helpful in managing a stock portfolio investment. In this post, I explain in details how to perform correlation analysis among stocks in Google Sheets.

I have been investing in the stock market for a while. I was looking for a software tool that could help me better manage my portfolio, but, could not find one that satisfied my needs. One day, I discovered that the Google Sheets application has a built-in function called GOOGLEFINANCE which fetches current or historical prices of stocks into spreadsheets. So I thought it is totally possible to build my own personal portfolio tracker with Google Sheets. I can register my transactions in a sheet and use the pivot table, built-in functions such as GOOGLEFINANCE, and Apps Script to automate the computation for daily evolutions of my portfolio as well as the current position for each stock in my portfolio. I then drew some sort of charts within the spreadsheet to have some visual ideas of my portfolio. However, I quickly found it inconvenient to have the charts overlapped the table and to switch back and forth among sheets in the spreadsheet. That's when I came to know the existen

As explained in the post Create personal stock portfolio tracker with Google Sheets and Google Data Studio , a personal stock portfolio tracker consists of 2 main elements: a spreadsheet in Google Sheets and an interactive dashboard in Google Data Studio. You can take a look at the sample spreadsheet below to have an idea of how the data is organized and related. It is possible to make a copy of the spreadsheet to study it thoroughly. NOTE: An enhanced version was published at Create personal stock portfolio tracker with Google Sheets and Google Data Studio .

As an investor, it is important to know the latest state of the stock portfolio. We need to know what stocks currently owned in the portfolio, how many shares for each one, how much dividend or gain contributed so far by each stock, etc. As we have registered stock transactions in a spreadsheet with Google Sheets, we can easily have the latest update from the stock portfolio by using pivot tables and GOOGLEFINANCE function.