Dycom Industries Stock Forecast - 20 Period Moving Average

DY Stock  USD 173.76  4.36  2.57%   
The 20 Period Moving Average forecasted value of Dycom Industries on the next trading day is expected to be 181.22 with a mean absolute deviation of 7.16 and the sum of the absolute errors of 293.62. Dycom Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Dycom Industries is based on a synthetically constructed Dycom Industriesdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Dycom Industries 20 Period Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Dycom Industries on the next trading day is expected to be 181.22 with a mean absolute deviation of 7.16, mean absolute percentage error of 75.14, and the sum of the absolute errors of 293.62.
Please note that although there have been many attempts to predict Dycom 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 Dycom Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dycom Industries Stock Forecast Pattern

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Dycom Industries Forecasted Value

In the context of forecasting Dycom Industries' 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. Dycom Industries' downside and upside margins for the forecasting period are 178.35 and 184.09, respectively. We have considered Dycom Industries' 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
173.76
178.35
Downside
181.22
Expected Value
184.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Dycom Industries stock data series using in forecasting. Note that when a statistical model is used to represent Dycom Industries 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 Criteria85.6723
BiasArithmetic mean of the errors 3.8535
MADMean absolute deviation7.1616
MAPEMean absolute percentage error0.0396
SAESum of the absolute errors293.6245
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Dycom Industries 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Dycom Industries

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dycom Industries. 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 Dycom Industries' 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
170.73173.60176.47
Details
Intrinsic
Valuation
LowRealHigh
137.93140.80191.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
164.20180.52196.84
Details
8 Analysts
Consensus
LowTargetHigh
113.95125.22138.99
Details

Other Forecasting Options for Dycom Industries

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

Dycom Industries 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 Dycom Industries stock to make a market-neutral strategy. Peer analysis of Dycom Industries could also be used in its relative valuation, which is a method of valuing Dycom Industries by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Dycom Industries 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 Dycom Industries' 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 Dycom Industries' current price.

Dycom Industries Market Strength Events

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

Dycom Industries Risk Indicators

The analysis of Dycom Industries' 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 Dycom Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dycom 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Dycom Stock Analysis

When running Dycom Industries' price analysis, check to measure Dycom Industries' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Dycom Industries is operating at the current time. Most of Dycom Industries' value examination focuses on studying past and present price action to predict the probability of Dycom Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dycom Industries' price. Additionally, you may evaluate how the addition of Dycom Industries to your portfolios can decrease your overall portfolio volatility.