Tyler Technologies Stock Forecast - Triple Exponential Smoothing

TYL Stock  USD 609.09  11.88  1.99%   
The Triple Exponential Smoothing forecasted value of Tyler Technologies on the next trading day is expected to be 606.03 with a mean absolute deviation of 5.10 and the sum of the absolute errors of 300.87. Tyler Stock Forecast is based on your current time horizon. Although Tyler Technologies' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Tyler Technologies' systematic risk associated with finding meaningful patterns of Tyler Technologies fundamentals over time.
  
At this time, Tyler Technologies' Inventory Turnover is quite stable compared to the past year. Fixed Asset Turnover is expected to rise to 11.74 this year, although the value of Payables Turnover will most likely fall to 7.56. . Net Income Applicable To Common Shares is expected to rise to about 198.3 M this year, although the value of Common Stock Shares Outstanding will most likely fall to about 37.9 M.
Triple exponential smoothing for Tyler Technologies - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Tyler Technologies prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Tyler Technologies price movement. However, neither of these exponential smoothing models address any seasonality of Tyler Technologies.

Tyler Technologies Triple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Tyler Technologies on the next trading day is expected to be 606.03 with a mean absolute deviation of 5.10, mean absolute percentage error of 46.44, and the sum of the absolute errors of 300.87.
Please note that although there have been many attempts to predict Tyler Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Tyler Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tyler Technologies Stock Forecast Pattern

Backtest Tyler TechnologiesTyler Technologies Price PredictionBuy or Sell Advice 

Tyler Technologies Forecasted Value

In the context of forecasting Tyler Technologies' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Tyler Technologies' downside and upside margins for the forecasting period are 604.86 and 607.20, respectively. We have considered Tyler Technologies' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
609.09
604.86
Downside
606.03
Expected Value
607.20
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Tyler Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Tyler Technologies stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0935
MADMean absolute deviation5.0995
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors300.8705
As with simple exponential smoothing, in triple exponential smoothing models past Tyler Technologies observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Tyler Technologies observations.

Predictive Modules for Tyler Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tyler Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tyler Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
595.73596.87598.01
Details
Intrinsic
Valuation
LowRealHigh
521.28522.42656.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
586.00605.56625.12
Details
19 Analysts
Consensus
LowTargetHigh
405.98446.13495.20
Details

Other Forecasting Options for Tyler Technologies

For every potential investor in Tyler, whether a beginner or expert, Tyler Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Tyler Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Tyler. Basic forecasting techniques help filter out the noise by identifying Tyler Technologies' price trends.

Tyler Technologies Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Tyler Technologies stock to make a market-neutral strategy. Peer analysis of Tyler Technologies could also be used in its relative valuation, which is a method of valuing Tyler Technologies by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Tyler Technologies Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Tyler Technologies' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Tyler Technologies' current price.

Tyler Technologies Market Strength Events

Market strength indicators help investors to evaluate how Tyler Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tyler Technologies shares will generate the highest return on investment. By undertsting and applying Tyler Technologies stock market strength indicators, traders can identify Tyler Technologies entry and exit signals to maximize returns.

Tyler Technologies Risk Indicators

The analysis of Tyler Technologies' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Tyler Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tyler stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether Tyler Technologies is a strong investment it is important to analyze Tyler Technologies' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Tyler Technologies' future performance. For an informed investment choice regarding Tyler Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Tyler Technologies to cross-verify your projections.
For more information on how to buy Tyler Stock please use our How to buy in Tyler Stock guide.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Tyler Technologies. If investors know Tyler will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Tyler Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.582
Earnings Share
5.49
Revenue Per Share
48.923
Quarterly Revenue Growth
0.098
Return On Assets
0.0358
The market value of Tyler Technologies is measured differently than its book value, which is the value of Tyler that is recorded on the company's balance sheet. Investors also form their own opinion of Tyler Technologies' value that differs from its market value or its book value, called intrinsic value, which is Tyler Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Tyler Technologies' market value can be influenced by many factors that don't directly affect Tyler Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Tyler Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Tyler Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tyler Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.