What is Trend Analysis? Definition Meaning Example


As an investor, you would need to perform an analysis and figure out what caused the drop and whether the company has implemented prevention methods to keep that from happening again. Generally, investors are more cautious when there is a horizontal trend because it is difficult to forecast when the price will change its direction and whether it will be up or down. In this case, the share price has a steady decrease, which will result in a loss if added to your portfolio. In order to do trend analysis, you must decide on what segment, industry, or even asset you want to use. Trend analysis allows you to examine the entire stock market to detect signs of potential trend changes for better or worse.

trend and seasonality

Trends over several years can be evaluated by calculating the trend percentage as the current year divided by the base year. Trend analysis is a technique used in technical analysis that attempts to predict future stock price movements based on recently observed trend data. Trend analysis uses historical data, such as price movements and trade volume, to forecast the long-term direction of market sentiment.

Time Series Analysis: Definition, Types, Techniques, and When It’s Used

However, other information should also be considered when performing a trend analysis, both related to the company itself and the overall market and the economy. Trend analysis is only one tool that investors can use to identify the profitability of a given asset. The trend analysis in accounting can be used by management or the analyst to forecast future financial statements. Following blindly can be dangerous if a proper analysis of the past event is not done. This suggests that as the company’s profits have increased, its stock price has also tended to rise. Trend following is a trading system based on using trend analysis and following the recommendation produced to determine which investments to make.

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Endometriosis prevalence and incidence trends in a large population-based study in Catalonia from 2009 to 2018. In case of statistical data, the analysis is very close to accurate. Historical data may not be an accurate representation of trends. MethodPurposeAdvantagesDisadvantagesGeographicTo analyze the trend within or across user groups defined by their geographic location. A very strong and steep trend needs a very strong supply or demand which is not sustainable for very long. Trend analysis can be used with a myriad of numerical data types, including traditional data (i.e., profit or expenses) and alternative data .

For instance, you are a business owner looking at the price of raw materials required to produce bread, and you notice that the price is increasing. This information could help you make different predictions, such as increased costs for your business or the necessity of raising the prices for the final consumer. With slight changes, the same analysis can be used in all markets. Stock analysis is the evaluation of a particular trading instrument, an investment sector, or the market as a whole.

Introduction to trend research

Needs and Interests – Marketing analysis always looks at buyers closely to gauge interest in their product. People are excited and confused by the idea of carrying a phone outside of their home. Few people have cell phones, and some are uncertain that they will become popular.

IntuitiveTo analyze the trend within or across user groups based on some logical explanation, behavioral patterns or other elements perceived by a futurist. Examine revenue patterns to see if sales are declining for certain products, customers, or sales regions. This could lead to a decision to curtail certain products, or to shift resources toward other products. Trend analysis is only as good as the information you have available.

Important Considerations for Time Series Analysis

Cross-sectional data consists of several variables recorded at the same time. Time series data is data that is recorded over consistent intervals of time. Try Tableau for free to create beautiful visualizations with your data. Some older products that we have may only be in standard format, but they can easily be converted to widescreen. We’ve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data.

A stationary time-series is defined as a time-series whose properties do not depend on the time at which the series is observed. Thus, time-series with trends, or with seasonality, are not stationary whereas white noise series are stationary . In a more mathematical sense, a time-series is said to be stationary if it has a constant mean and variance and the covariance is independent of time. In , you have different illustrative examples that compare stationary vs non-stationary time-series.

By doing this, an investor can make the decision of investing in Black Sea Petroleum LLC stocks because there’s a potential gain in the transaction, according to the analyst opinion. Mr. Nolan determined that this is an uptrend, since in the past, whenever the company has had this increases the uptrend has endured for more than 3 months. When you conduct a market trend analysis you want to consider the needs and interests of your consumers. As cell phones advanced, so did the needs and interests of the customers.

For example, changes in a similar industry or the creation of a new governmental regulation would qualify as forces impacting the market. Analysts then take this data and attempt to predict the direction the market will take moving forward. In order to begin analyzing applicable data, it is necessary to first determine which market segment will be analyzed.

Companies shut down their operation or shrank the stock market trend analysision due to a slump in sales. Jobs are lost, asset prices start declining, sentiment in the market is not favorable for further investment, and investors run for the haven of the investment. Moving averages strategies involve entering into long, or short, positions when the short-term moving average crosses above, or below, a long-term moving average. Momentum indicator strategies involve entering into positions when a security is exhibiting strong momentum and exiting when that wanes. Furthering the bias argument is the fact that technical analysis is open to interpretation.

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In other words, if you had a competing gift store, you could compare your performance to this company. Although intuitive, this example of trend analysis helps you predict future results and performance or compare this company to a competitor’s activity. One of the most useful management tools for trend analysis is Google trends. It allows you to discover what people search for by entering a keyword into the search engine. Data suggests you can use these long-term trends to identify actionable patterns.

Trend analysis can also be used to find future support and resistance levels. When investorsresearch financial assets, trend analysis can be done on the asset’s historical data. If this price is decreasing, it indicates the presence of a bearish market. In other words, investment is not recommended because the prices could further decrease, leading to a loss. When adding numerical data to a chart, you will be able to identify three types of trends.

In statistics, trend analysis often refers to techniques for extracting an underlying pattern of behavior in a time series which would otherwise be partly or nearly completely hidden by noise. If the trend can be assumed to be linear, trend analysis can be undertaken within a formal regression analysis, as described in Trend estimation. If the trends have other shapes than linear, trend testing can be done by non-parametric methods, e.g. Mann-Kendall test, which is a version of Kendall rank correlation coefficient. Smoothing can also be used for testing and visualization of nonlinear trends.

Why organizations use time series data analysis

However, there are several statistical measures that are commonly used in trend analysis to identify patterns and trends in data. Say that an investor is considering buying shares of a particular company, and they want to use trend analysis to determine whether the stock is likely to rise in value. To conduct their analysis, the investor gathers data on the company’s financial performance over the past five years, including its revenues, expenses, profits, and other key metrics. They also gather data on the overall performance of the stock market and on the company’s industry. A technician believes that it’s possible to identify a trend, invest, or trade based on the trend and make money as the trend unfolds. Because technical analysis can be applied to different timeframes, it’s possible to spot short- and long-term trends.


Sales and cost information of the organization’s profit and loss statement can be arranged on a horizontal line for multiple periods and examine trends and data inconsistencies. It is a booming time where jobs get created, the economy moves into a positive market, sentiments in the markets are favorable, and the investment cycle has started. Using this data, the investor creates charts to visualize the trends in the data. They notice that the company’s revenues have been steadily increasing over the past five years, and that its profits have also been trending upward. They also notice that the stock market has been generally trending upward over the same period.

If supply and demand is biased a lot on one side, it gives rise to trends. Economic, Geopolitical and other fundamental reasons are responsible for their formation. Alternative data allows you to perform a more in-depth analysis, in turn outsmarting a part of your competition that is not using external data to their advantage. Data-driven trend analysis is also a great way of anticipating future events that could enhance your investment intelligence and find better business opportunities. One of the most common trend analysis strategies is when you are examining the share price of a financial asset to help with the decision-making process. For example, the figure below compares the share prices of two companies, X and Y, over one year.

  • That’s not to say that analysis of any stock whose price is influenced by one of these outside forces is useless, but it will affect the accuracy of that analysis.
  • What sets time series data apart from other data is that the analysis can show how variables change over time.
  • Trend analysis tries to predict a trend, such as a bull market run, and then ride that trend until data suggests a trend reversal, such as a bull-to-bear market.

Even though there are some universal principles and rules that can be applied, it must be remembered that technical analysis is more of an art form than a science. However, it is also flexible in its approach and each investor should use only that which suits his or her style. Developing a style takes time, effort and dedication, but the rewards can be significant.

For instance, you could focus on a particular industry, such as the automotive or pharmaceuticals sector, as well as a particular type of investment, such as the bond market. A trend is a general direction the market is taking during a specified period of time. Trend analysis tries to predict a trend, such as a bull market run, and then ride that trend until data suggests a trend reversal, such as a bull-to-bear market. Commodity and historical index data provided by Pinnacle Data Corporation. The information provided by StockCharts.com, Inc. is not investment advice.


These outside forces acting on thinly-traded stocks make them unsuitable for technical analysis. TrendSpider is a suite of research, analysis, and trading tools (collectively, the “platform) that are designed to assist traders and investors in making their own decisions. Our platform, its features, capabilities, and market data feeds are provided ‘as-is’ and without warranty. Time-series forecasting models use mathematical equation to find patterns in a series of historical data. These equations are then used to project into the future the historical time patterns in the data . With 3-4 years of historical data, you can analyze if and how seasons, certain political events, and other ESG factors affect a company’s performance.

If the data is incomplete, inaccurate, or otherwise flawed, the analysis may be misleading or inaccurate. Indicators can simplify price information, as well asprovide trend trade signalsor warn ofreversals. They may be used on all time frames, and have variables that can be adjusted to suit each trader’s specific preferences. By the time the trend is identified, a substantial portion of the move has already taken place. Those sectors that show the most promise would be singled out for individual stock analysis. Once the sector list is narrowed to 3-4 industry groups, individual stock selection can begin.

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From this graph, you can try to make sense of what happened during the transition from the end of 2019 to the beginning of 2020 that caused a drop in headcount. In other words, the https://trading-market.org/s, or any other metrics, are not going up or down; rather, they are stagnant. INVESTMENT BANKING RESOURCESLearn the foundation of Investment banking, financial modeling, valuations and more. The Dow Theory states that the market is trending upward if one of its averages advances and is accompanied by a similar advance in the other average.

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