Public Service Stock Forward View
| PEG Stock | USD 80.14 1.42 1.74% |
Public Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Public Service's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 4th of February 2026, the relative strength index (RSI) of Public Service's share price is approaching 49 indicating that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Public Service, making its price go up or down. Momentum 49
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.192 | EPS Estimate Next Quarter 0.7836 | EPS Estimate Current Year 4.0413 | EPS Estimate Next Year 4.397 | Wall Street Target Price 88.6177 |
Using Public Service hype-based prediction, you can estimate the value of Public Service Enterprise from the perspective of Public Service response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Public Service using Public Service's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Public using crowd psychology based on the activity and movement of Public Service's stock price.
Public Service Short Interest
A significant increase or decrease in Public Service's short interest from the previous month could be a good indicator of investor sentiment towards Public. Short interest can provide insight into the potential direction of Public Service stock and how bullish or bearish investors feel about the market overall.
200 Day MA 81.8066 | Short Percent 0.021 | Short Ratio 2.89 | Shares Short Prior Month 7.8 M | 50 Day MA 80.1432 |
Public Relative Strength Index
The Naive Prediction forecasted value of Public Service Enterprise on the next trading day is expected to be 82.65 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.30.Public Service Enterprise Hype to Price Pattern
Investor biases related to Public Service's public news can be used to forecast risks associated with an investment in Public. The trend in average sentiment can be used to explain how an investor holding Public can time the market purely based on public headlines and social activities around Public Service Enterprise. 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 Public Service's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Public Service.
Public Service Implied Volatility | 0.37 |
Public Service's implied volatility exposes the market's sentiment of Public Service Enterprise stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Public Service'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 Public Service stock will not fluctuate a lot when Public Service's options are near their expiration.
The Naive Prediction forecasted value of Public Service Enterprise on the next trading day is expected to be 82.65 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.30. Public Service after-hype prediction price | USD 80.14 |
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 Public Service to cross-verify your projections. Prediction based on Rule 16 of the current Public contract
Based on the Rule 16, the options market is currently suggesting that Public Service Enterprise will have an average daily up or down price movement of about 0.0231% per day over the life of the 2026-05-15 option contract. With Public Service trading at USD 80.14, that is roughly USD 0.0185 . If you think that the market is fully incorporating Public Service's daily price movement you should consider acquiring Public Service Enterprise options at the current volatility level of 0.37%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-05-15 Public Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Public Service'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 Public Service's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Public Service 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 Public Service's open interest, investors have to compare it to Public Service'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 Public Service 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 Public. 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.
Public Service Additional Predictive Modules
Most predictive techniques to examine Public price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Public using various technical indicators. When you analyze Public 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 |
Public Service Cash Forecast
Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Public Service's financial statements, enabling forecasts of their impact on future stock prices.
Cash | First Reported 1994-03-31 | Previous Quarter 186 M | Current Value 339 M | Quarterly Volatility 366.6 M |
Public Service Naive Prediction Price Forecast For the 5th of February
Given 90 days horizon, the Naive Prediction forecasted value of Public Service Enterprise on the next trading day is expected to be 82.65 with a mean absolute deviation of 0.79, mean absolute percentage error of 0.97, and the sum of the absolute errors of 48.30.Please note that although there have been many attempts to predict Public Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Public Service's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Public Service Stock Forecast Pattern
| Backtest Public Service | Public Service Price Prediction | Research Analysis |
Public Service Forecasted Value
In the context of forecasting Public Service'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. Public Service's downside and upside margins for the forecasting period are 81.65 and 83.66, respectively. We have considered Public Service'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Public Service stock data series using in forecasting. Note that when a statistical model is used to represent Public Service 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 | 118.0759 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.7918 |
| MAPE | Mean absolute percentage error | 0.0099 |
| SAE | Sum of the absolute errors | 48.2974 |
Predictive Modules for Public Service
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Public Service Enterprise. 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 Public Service'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.
Public Service After-Hype Price Density Analysis
As far as predicting the price of Public Service at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Public Service or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Public Service, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Public Service Estimiated After-Hype Price Volatility
In the context of predicting Public Service's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Public Service's historical news coverage. Public Service's after-hype downside and upside margins for the prediction period are 79.14 and 81.14, respectively. We have considered Public Service's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Public Service is very steady at this time. Analysis and calculation of next after-hype price of Public Service Enterprise is based on 3 months time horizon.
Public Service Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Public Service is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Public Service backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Public Service, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.03 | 1.00 | 0.03 | 0.00 | 12 Events / Month | 7 Events / Month | In about 12 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
80.14 | 80.14 | 0.00 |
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Public Service Hype Timeline
On the 4th of February Public Service Enterprise is traded for 80.14. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of 0.0. Public is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 103.09%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.03%. %. The volatility of related hype on Public Service is about 661.76%, with the expected price after the next announcement by competition of 80.14. About 78.0% of the company shares are owned by institutional investors. The book value of Public Service was at this time reported as 34.09. The company has Price/Earnings To Growth (PEG) ratio of 2.43. Public Service Enterprise last dividend was issued on the 10th of December 2025. The entity had 2:1 split on the 5th of February 2008. Considering the 90-day investment horizon the next forecasted press release will be in about 12 days. Check out Historical Fundamental Analysis of Public Service to cross-verify your projections.Public Service Related Hype Analysis
Having access to credible news sources related to Public Service's direct competition is more important than ever and may enhance your ability to predict Public Service's future price movements. Getting to know how Public Service's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Public Service may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ETR | Entergy | 0.94 | 11 per month | 1.10 | (0.03) | 1.90 | (1.73) | 4.90 | |
| WEC | WEC Energy Group | 0.70 | 10 per month | 0.80 | (0.05) | 1.14 | (1.14) | 4.32 | |
| ED | Consolidated Edison | (0.42) | 11 per month | 0.95 | 0.1 | 1.91 | (1.65) | 4.62 | |
| EXC | Exelon | 0.44 | 11 per month | 0.00 | (0.16) | 1.26 | (1.94) | 4.76 | |
| PCG | PGE Corp | (0.44) | 11 per month | 0.00 | (0.07) | 1.79 | (2.31) | 6.66 | |
| XEL | Xcel Energy | (0.35) | 9 per month | 0.00 | (0.15) | 1.27 | (1.88) | 3.97 | |
| D | Dominion Energy | (0.44) | 4 per month | 1.20 | 0.02 | 1.77 | (2.04) | 5.71 | |
| DTE | DTE Energy | 0.08 | 11 per month | 0.00 | (0.07) | 1.45 | (1.74) | 4.73 | |
| AEE | Ameren Corp | 0.85 | 10 per month | 0.96 | (0.03) | 1.23 | (1.45) | 5.74 |
Other Forecasting Options for Public Service
For every potential investor in Public, whether a beginner or expert, Public Service's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Public Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Public. Basic forecasting techniques help filter out the noise by identifying Public Service's price trends.Public Service 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 Public Service stock to make a market-neutral strategy. Peer analysis of Public Service could also be used in its relative valuation, which is a method of valuing Public Service by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Public Service Market Strength Events
Market strength indicators help investors to evaluate how Public Service stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Public Service shares will generate the highest return on investment. By undertsting and applying Public Service stock market strength indicators, traders can identify Public Service Enterprise entry and exit signals to maximize returns.
| Accumulation Distribution | 120506.0 | |||
| Daily Balance Of Power | (0.62) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 80.88 | |||
| Day Typical Price | 80.64 | |||
| Price Action Indicator | (1.45) | |||
| Period Momentum Indicator | (1.42) | |||
| Relative Strength Index | 49.39 |
Public Service Risk Indicators
The analysis of Public Service'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 Public Service's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting public 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 | 0.8245 | |||
| Semi Deviation | 1.13 | |||
| Standard Deviation | 1.09 | |||
| Variance | 1.2 | |||
| Downside Variance | 1.32 | |||
| Semi Variance | 1.27 | |||
| Expected Short fall | (0.83) |
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.
Story Coverage note for Public Service
The number of cover stories for Public Service depends on current market conditions and Public Service's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Public Service is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Public Service's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Public Service Short Properties
Public Service's future price predictability will typically decrease when Public Service's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Public Service Enterprise often depends not only on the future outlook of the potential Public Service's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Public Service's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 500 M | |
| Cash And Short Term Investments | 125 M |
Check out Historical Fundamental Analysis of Public Service to cross-verify your projections. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Can Multi-Utilities industry sustain growth momentum? Does Public have expansion opportunities? Factors like these will boost the valuation of Public Service. Anticipated expansion of Public directly elevates investor willingness to pay premium valuations. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Public Service demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.192 | Dividend Share 2.49 | Earnings Share 4.09 | Revenue Per Share | Quarterly Revenue Growth 0.221 |
Investors evaluate Public Service Enterprise using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Public Service's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Public Service's market price to deviate significantly from intrinsic value.
It's important to distinguish between Public Service's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Public Service should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Public Service's market price signifies the transaction level at which participants voluntarily complete trades.