Daktronics Stock Forecast - Simple Moving Average

DAKT Stock  USD 14.88  0.54  3.77%   
The Simple Moving Average forecasted value of Daktronics on the next trading day is expected to be 14.88 with a mean absolute deviation of 0.30 and the sum of the absolute errors of 17.75. Daktronics Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 3.68 in 2024. Payables Turnover is likely to drop to 6.48 in 2024. Net Income Applicable To Common Shares is likely to gain to about 10 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 43.7 M in 2024.
A two period moving average forecast for Daktronics is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Daktronics Simple Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Daktronics on the next trading day is expected to be 14.88 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.18, and the sum of the absolute errors of 17.75.
Please note that although there have been many attempts to predict Daktronics 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 Daktronics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Daktronics Stock Forecast Pattern

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Daktronics Forecasted Value

In the context of forecasting Daktronics' 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. Daktronics' downside and upside margins for the forecasting period are 12.30 and 17.46, respectively. We have considered Daktronics' 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
14.88
14.88
Expected Value
17.46
Upside

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 Daktronics stock data series using in forecasting. Note that when a statistical model is used to represent Daktronics 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 Criteria112.725
BiasArithmetic mean of the errors -0.0252
MADMean absolute deviation0.3009
MAPEMean absolute percentage error0.0227
SAESum of the absolute errors17.755
The simple moving average model is conceptually a linear regression of the current value of Daktronics price series against current and previous (unobserved) value of Daktronics. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Daktronics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Daktronics. 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.
Hype
Prediction
LowEstimatedHigh
12.3014.8817.46
Details
Intrinsic
Valuation
LowRealHigh
9.3811.9616.37
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.2714.7915.30
Details
0 Analysts
Consensus
LowTargetHigh
10.9212.0013.32
Details

Other Forecasting Options for Daktronics

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

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

Daktronics 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 Daktronics' 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 Daktronics' current price.

Daktronics Market Strength Events

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

Daktronics Risk Indicators

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

Thematic Opportunities

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Additional Tools for Daktronics Stock Analysis

When running Daktronics' price analysis, check to measure Daktronics' 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 Daktronics is operating at the current time. Most of Daktronics' value examination focuses on studying past and present price action to predict the probability of Daktronics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Daktronics' price. Additionally, you may evaluate how the addition of Daktronics to your portfolios can decrease your overall portfolio volatility.