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.

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.

As my investment strategy is to buy stocks that pay regular and stable dividends during a long-term period, I need to monitor my dividends income by stocks, by months, and by years, so that I can answer quickly and exactly the following questions: How much dividend did I receive on a given month and a given year? How much dividend did I receive for a given stock in a given year? Have a given stock's annual dividend per share kept increasing gradually over years? Have a given stock's annual dividend yield been stable over years? In this post, I explain how to create a dividend tracker for a stock investment portfolio with Google Sheets by simply using pivot tables.

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.

Although Google Sheets does not provide a ready-to-use function that takes a column index as an input and returns corresponding letters as output, we can still do the task by leveraging other built-in functions ADDRESS , REGEXEXTRACT , INDEX , SPLIT as shown in the post . However, in form of a formula, that solution is not applicable for scripting with Google Apps Script. In this post, we look at how to write a utility function with Google Apps Script that converts column index into corresponding letters.

In Google Sheets, rows are indexed numerically, starting from 1, but columns are indexed alphabetically, starting from A. Hence, it is pretty straightforward to work with rows and trickier to work with columns as we need to convert between column index and corresponding letters. For example, what are the letters of column 999th in Google Sheets? In this post, we will look at how to convert a column index into its corresponding letters by using the built-in functions of Google Sheets. What are letters of the column 999th in a spreadsheet?

I often need to extract some sample data in Google Sheets and present it in my blog as an HTML table. However, when copying a selected range in Google Sheets and paste it outside the Google Sheets, I only get plain text. In this post, I explain how to copy data in Google Sheets as an HTML table by writing a small Apps Script program.

In investing, it is important to define the target that we want to achieve. Many investors like to compare their portfolios with a market index, but is outperforming the market index a good target? It is not a quantitative target to be measurable as market indexes fluctuate daily. I, personally, aim only for 10% growth a year. If at the end of the year, I see my portfolio grows 10%, I am pleased with that result no matter that S&P500 grows 50% the same year. To see if my stock portfolio grows in line with the 10% target, I choose to compare it to a saving account with the same interest. In this post, I will show you how to use a fictive saving account with daily compound interest as the target to benchmark a stock portfolio.

I am happy to announce the release of LION stock portfolio tracker. It is a personal stock portfolio tracker built with Google Sheets and Google Data Studio. The stock portfolio's transactions are managed in Google Sheets and its performance is monitored interactively on a beautiful dashboard in Google Data Studio. You can try with the demo below and follow the LION stock portfolio tracker guide to create your own personal stock portfolio tracker with Google Sheets and Google Data Studio.

As investors, we always want to see our portfolio grows over time. If a portfolio made a 1000$ of gain in one year, is it good enough? Should we gauge the portfolio's performance against an alternative investment, for instance, a market index? Should we aim to beat that index? In this post, we will see how to compare a stock portfolio to market indexes by using Google Sheets, Apps Script, and Google Data Studio.

When it comes to investment, it is not only important to know the up-to-date state of portfolio but also to track its evolution day by day. We need to know on a specific day, how much money has been invested in the portfolio, the current market value of owned shares, the available cash and the current profit. Visualizing those historical data points on a time-based graph helps us to identify which transactions were good and which were bad. This post shows how to compute automatically those historical data points by using data in Transactions sheet and the built-in GOOGLEFINANCE function of Google Sheets. A sample spreadsheet can be found in this post Demo stock portfolio tracker with Google Sheets . You can take a look at the sample spreadsheet 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.