E W Stock Forecast - Simple Regression

SSP Stock  USD 3.99  0.01  0.25%   
The Simple Regression forecasted value of E W Scripps on the next trading day is expected to be 4.92 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.21. SSP Stock Forecast is based on your current time horizon. Although E W's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of E W's systematic risk associated with finding meaningful patterns of E W fundamentals over time.
As of today the relative strength momentum indicator of E W's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of E W's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with E W Scripps, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting E W's stock price prediction:
Quarterly Earnings Growth
0.913
EPS Estimate Next Quarter
(0.21)
EPS Estimate Current Year
(1.42)
EPS Estimate Next Year
0.48
Wall Street Target Price
5.625
Using E W hype-based prediction, you can estimate the value of E W Scripps from the perspective of E W response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards E W using E W's stock options and short interest. It helps to benchmark the overall future attitude of investors towards SSP using crowd psychology based on the activity and movement of E W's stock price.

E W Short Interest

An investor who is long E W may also wish to track short interest. As short interest increases, investors should be becoming more worried about E W and may potentially protect profits, hedge E W with its derivative instruments, or be ready for some potential downside.
200 Day MA
2.3249
Short Percent
0.0715
Short Ratio
1.45
Shares Short Prior Month
3.2 M
50 Day MA
3.1141

E W Scripps Hype to Price Pattern

Investor biases related to E W's public news can be used to forecast risks associated with an investment in SSP. The trend in average sentiment can be used to explain how an investor holding SSP can time the market purely based on public headlines and social activities around E W Scripps. 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 E W's market sentiment to its price can help taders to make decisions based on the overall investors consensus about E W.

E W Implied Volatility

    
  1.52  
E W's implied volatility exposes the market's sentiment of E W Scripps stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if E W's 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 E W stock will not fluctuate a lot when E W's options are near their expiration.
The Simple Regression forecasted value of E W Scripps on the next trading day is expected to be 4.92 with a mean absolute deviation of 0.45 and the sum of the absolute errors of 27.21.

E W after-hype prediction price

    
  USD 3.99  
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 E W to cross-verify your projections.
At this time, E W's Payables Turnover is relatively stable compared to the past year. As of 01/02/2026, Receivables Turnover is likely to grow to 6.27, though Inventory Turnover is likely to grow to (2.85). . As of 01/02/2026, Common Stock Shares Outstanding is likely to drop to about 67.1 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 93.7 M.

Open Interest Against 2026-03-20 SSP Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast E W's 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 E W's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for E W 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 E W's open interest, investors have to compare it to E W's 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 E W 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 SSP. 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.

E W Additional Predictive Modules

Most predictive techniques to examine SSP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SSP using various technical indicators. When you analyze SSP 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through E W price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

E W Simple Regression Price Forecast For the 3rd of January

Given 90 days horizon, the Simple Regression forecasted value of E W Scripps on the next trading day is expected to be 4.92 with a mean absolute deviation of 0.45, mean absolute percentage error of 0.27, and the sum of the absolute errors of 27.21.
Please note that although there have been many attempts to predict SSP 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 E W's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

E W Stock Forecast Pattern

Backtest E WE W Price PredictionBuy or Sell Advice 

E W Forecasted Value

In the context of forecasting E W's 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. E W's downside and upside margins for the forecasting period are 0.04 and 12.12, respectively. We have considered E W's 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
3.99
4.92
Expected Value
12.12
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of E W stock data series using in forecasting. Note that when a statistical model is used to represent E W 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 Criteria116.7932
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4461
MAPEMean absolute percentage error0.1335
SAESum of the absolute errors27.2095
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as E W Scripps historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for E W

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as E W Scripps. 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 E W's 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
0.203.9911.15
Details
Intrinsic
Valuation
LowRealHigh
0.163.1410.30
Details
5 Analysts
Consensus
LowTargetHigh
5.125.626.24
Details

Other Forecasting Options for E W

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

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

E W Scripps 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 E W's 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 E W's current price.

E W Market Strength Events

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

E W Risk Indicators

The analysis of E W's 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 E W's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ssp 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.

Pair Trading with E W

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if E W position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in E W will appreciate offsetting losses from the drop in the long position's value.

Moving together with SSP Stock

  0.82EVC Entravision CommunicationsPairCorr

Moving against SSP Stock

  0.87TSQ Townsquare MediaPairCorr
  0.81A1N Arn MediaPairCorr
  0.8600959 Jiangsu BroadcastingPairCorr
  0.78NEC Nine EntertainmentPairCorr
  0.73SXL Southern Cross MediaPairCorr
The ability to find closely correlated positions to E W could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace E W when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back E W - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling E W Scripps to buy it.
The correlation of E W is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as E W moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if E W Scripps moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for E W can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for SSP Stock Analysis

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