Dycom Industries Stock Forecast - Simple Moving Average
| DY Stock | USD 339.68 14.85 4.19% |
The Simple Moving Average forecasted value of Dycom Industries on the next trading day is expected to be 339.68 with a mean absolute deviation of 5.65 and the sum of the absolute errors of 333.08. Dycom Stock Forecast is based on your current time horizon.
At this time, The relative strength momentum indicator of Dycom Industries' share price is at 52 suggesting that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Dycom Industries, making its price go up or down. Momentum 52
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.532 | EPS Estimate Current Year 11.1007 | EPS Estimate Next Year 13.3942 | Wall Street Target Price 392.4 | EPS Estimate Current Quarter 3.2019 |
Using Dycom Industries hype-based prediction, you can estimate the value of Dycom Industries from the perspective of Dycom Industries response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Dycom Industries using Dycom Industries' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Dycom using crowd psychology based on the activity and movement of Dycom Industries' stock price.
Dycom Industries Short Interest
An investor who is long Dycom Industries may also wish to track short interest. As short interest increases, investors should be becoming more worried about Dycom Industries and may potentially protect profits, hedge Dycom Industries with its derivative instruments, or be ready for some potential downside.
200 Day MA 256.5852 | Short Percent 0.0668 | Short Ratio 2.66 | Shares Short Prior Month 1.1 M | 50 Day MA 325.7706 |
Dycom Industries Hype to Price Pattern
Investor biases related to Dycom Industries' public news can be used to forecast risks associated with an investment in Dycom. The trend in average sentiment can be used to explain how an investor holding Dycom can time the market purely based on public headlines and social activities around Dycom Industries. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Dycom Industries' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Dycom Industries.
Dycom Industries Implied Volatility | 0.48 |
Dycom Industries' implied volatility exposes the market's sentiment of Dycom Industries stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Dycom Industries' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Dycom Industries stock will not fluctuate a lot when Dycom Industries' options are near their expiration.
The Simple Moving Average forecasted value of Dycom Industries on the next trading day is expected to be 339.68 with a mean absolute deviation of 5.65 and the sum of the absolute errors of 333.08. Dycom Industries after-hype prediction price | USD 340.06 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Dycom Industries to cross-verify your projections. Open Interest Against 2026-03-20 Dycom Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Dycom Industries' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Dycom Industries' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Dycom Industries stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Dycom Industries' open interest, investors have to compare it to Dycom Industries' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Dycom Industries is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Dycom. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Dycom Industries Additional Predictive Modules
Most predictive techniques to examine Dycom price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Dycom using various technical indicators. When you analyze Dycom charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Dycom Industries Simple Moving Average Price Forecast For the 10th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Dycom Industries on the next trading day is expected to be 339.68 with a mean absolute deviation of 5.65, mean absolute percentage error of 59.93, and the sum of the absolute errors of 333.08.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
| Backtest Dycom Industries | Dycom Industries Price Prediction | Buy or Sell Advice |
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 337.39 and 341.97, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple 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.| AIC | Akaike Information Criteria | 118.5279 |
| Bias | Arithmetic mean of the errors | -1.0894 |
| MAD | Mean absolute deviation | 5.6453 |
| MAPE | Mean absolute percentage error | 0.0174 |
| SAE | Sum of the absolute errors | 333.075 |
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.
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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 339.68 | |||
| Day Typical Price | 339.68 | |||
| Price Action Indicator | (7.42) | |||
| Period Momentum Indicator | (14.85) | |||
| Relative Strength Index | 52.25 |
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.
| Mean Deviation | 1.68 | |||
| Semi Deviation | 2.0 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.22 | |||
| Downside Variance | 4.57 | |||
| Semi Variance | 3.99 | |||
| Expected Short fall | (1.81) |
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.