Trend Analysis: Definition & Examples | Layer Blog (2024)

Identifying trends in your data to make more accurate predictions is useful in any industry. Trends related to your company’s finances or your investments are especially interesting. Recognizing these financial trends allows you to better understand your company’s accounting practices and improve financial planning and performance. Identifying trends in the stock market can also help you with your investment strategies.

Even within the financial industry, trend analysis is a broad term, as it makes use of multiple metrics and methods, including the horizontal analysis of financial statements and the technical trend analysis of stocks. The results of other financial analyses are often incorporated to provide more context for analyzing these trends, like horizontal and vertical analyses, variance analysis, profitability analysis, and leverage ratio analysis.

In this article, you will learn about the technical trend analysis of stocks, the different types of trends you might find, and commonly used metrics and techniques. You will also learn about the most common uses of accounting and investment analysis. Finally, you will learn how tools like Google Sheets and Layer can help you automate the calculations and the flow of data.

What is Trend Analysis?

Trend analysis aims to identify and analyze potentially significant patterns in historical data. Generally, this information is used to better predict future trends. The identification and analysis of trends is also a common research objective.

You can use different types of financial datasets or documents within the finance industry. For example, you can use stock metrics in technical analysis and financial statements in horizontal analysis. There are also many different tools and techniques used in trend analysis, such as % change, moving averages, technical indicators, and charts for visualization.

What are the Different Types of Trends?

There is no minimum time requirement for a period of time to be considered a trend, but there is a general tendency to value trends of longer duration more highly. Trend analysis uses data collected over very short and very long periods of time. Given the frequency of trading activity, stock metrics' daily or even hourly fluctuations are potential indicators. However, if you’re analyzing a company’s long-term financial status, a chart showing a minute or hour is unlikely to be helpful; taking a longer view can identify general trends.

There are three types of trends you may find while analyzing your data.

• Uptrend: If values become consistently higher with the passage of time, you have an uptrend.
• Downtrend: If values become consistently lower, you have a downtrend.
• Horizontal: It’s possible for values to remain relatively constant, showing a sideways or horizontal trend, which indicates balanced supply and demand.

Whether an upward trend is positive or negative will depend on the metric you analyze. For example, if you’re looking at your expenses, you’d be looking for a downward trend.

Trend Analysis & Stock

There are two general ways of discovering trends in stock – one using technical analysis and the other using fundamental analysis.

Technical Analysis

The technical analysis of historical stock data is a popular method to look for patterns or trends in stock prices, volume, and other metrics. There is some debate about how useful technical trend analysis actually is for predicting future market trends, given the vast amounts of data available on these markets.

Both trading and analysis of the stock are constant, with investors immediately reacting to fluctuations or perceived trends. This makes it a little too unpredictable for more cautious investors, who prefer to take a longer view.

Fundamental Analysis

Fundamental analysis considers that the usual stock metrics don’t always reflect real value. Analysts gather all the information they can on the market they are studying, including quantitative and qualitative analysis of financial documents and contextual data. Fundamental analysis is generally used for more long-term investment decisions.

Trend Analysis Examples

As you have seen, trend analysis has applications in any industry. Within finance, accountants often use it to analyze the company’s financial statements and to identify trends or inconsistencies that could impact the company’s financial performance.

You can also identify trends in the technical analysis of stocks to identify fluctuations in price, volume, etc. In this section, you have examples of both the horizontal analysis of financial statements and the technical analysis of stock prices.

Trend Analysis for Accounting

Imagine company A wants to study trends related to Revenue and the Cost of Goods Sold (COGS) for the last few years. Horizontal analysis of their income statements can help them identify potentially significant patterns in the data, including evidence of fraud or accounting mistakes. The horizontal analysis of income statements tends to use % change, but you can use other metrics depending on the focus and purpose of the analysis.

Trend Analysis: Definition & Examples - Income Statement Data

Once you have selected and gathered the required data, you need to calculate the % change for each period from the base year. To learn more about this, check out ourarticle on . You can then chart these values, using trendlines to identify interesting patterns.

Based on any interesting patterns you find, you can analyze them in more detail using additional data and visualizations. For instance, you might want to look at the monthly statements for a particular year if you see a peak or dip in that year that concerns you.

Trend Analysis for Investing

A common use for trend analysis is in the technical analysis of stocks. However, trend analysis is only one of the many techniques and metrics used in technical analysis. These include many types of visualizations, often resulting in complex charts representing multiple metrics for varying periods of time. Given the frequency of changes in some stock prices and the different investment strategies available, some charts span minutes while others span years.

Price and volume are among the most popular, but you can use many other metrics and indicators depending on the purpose of your analysis. These may include technical and price indicators, frequently based on moving averages, and momentum indicators, like the relative strength index.

To learn how to import stock data from Google Finance or Yahoo Finance, take a look at Use Google Finance to Get Crypto Prices in Sheets and How to Import Yahoo Finance Data Into Google Sheets.

Trend Analysis: Definition & Examples - Amazon Stock Data

How to Perform a Trend Analysis in Excel or Google Sheets?

Now that you know about the different types of metrics and calculations used in trend analysis, you probably think it would be great to automate as much of it as possible. Fortunately, you can use tools like Excel or Google Sheets to set up templates. This fixes the formulas for all the calculations you need, which helps you avoid mistakes.

Using Layer, you can also automate data flows to update calculations as new data is generated. Layer also gives you full control over access to your data, so you can easily assign tasks to your team and automatically share results and reports.

Trend Analysis: Definition & Examples - Income Statement Analysis

Conclusion

As you have seen, there are different types of trend analysis. While an accountant is more likely to be interested in analyzing patterns and trends in financial statements, like expenses or income, an investor is more likely to analyze stock prices, volume, and other metrics.

It’s also important to remember that fundamental analysis - as opposed to technical analysis - also uses financial statements and other documents that can shed light on a company’s value, in addition to the price of the stock.

You now know that trend analysis can be broadly defined as analyzing patterns in historical data to predict future patterns. You also know about two common applications within the finance industry: the horizontal analysis of financial statements and the technical analysis of stocks. Finally, you know how to use spreadsheet software - like Excel or Google Sheets - to speed up calculations and how Layer can help you automate the entire process.