Unisys Stock Forecast - Simple Regression
| UIS Stock | USD 2.97 0.02 0.67% |
The Simple Regression forecasted value of Unisys on the next trading day is expected to be 2.85 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.95. Unisys Stock Forecast is based on your current time horizon.
At this time, the relative strength index (RSI) of Unisys' share price is approaching 45. This usually implies 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 Unisys, making its price go up or down. Momentum 45
Impartial
Oversold | Overbought |
EPS Estimate Next Quarter 0.565 | EPS Estimate Current Year 0.6975 | EPS Estimate Next Year 0.694 | Wall Street Target Price 5 | EPS Estimate Current Quarter 0.0075 |
Using Unisys hype-based prediction, you can estimate the value of Unisys from the perspective of Unisys response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Unisys using Unisys' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Unisys using crowd psychology based on the activity and movement of Unisys' stock price.
Unisys Short Interest
An investor who is long Unisys may also wish to track short interest. As short interest increases, investors should be becoming more worried about Unisys and may potentially protect profits, hedge Unisys with its derivative instruments, or be ready for some potential downside.
200 Day MA 3.8243 | Short Percent 0.0374 | Short Ratio 3.4 | Shares Short Prior Month 2 M | 50 Day MA 2.8234 |
Unisys Hype to Price Pattern
Investor biases related to Unisys' public news can be used to forecast risks associated with an investment in Unisys. The trend in average sentiment can be used to explain how an investor holding Unisys can time the market purely based on public headlines and social activities around Unisys. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Unisys Implied Volatility | 1.8 |
Unisys' implied volatility exposes the market's sentiment of Unisys stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Unisys' 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 Unisys stock will not fluctuate a lot when Unisys' options are near their expiration.
The Simple Regression forecasted value of Unisys on the next trading day is expected to be 2.85 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.95. Unisys after-hype prediction price | USD 0.0 |
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 Unisys to cross-verify your projections. Prediction based on Rule 16 of the current Unisys contract
Based on the Rule 16, the options market is currently suggesting that Unisys will have an average daily up or down price movement of about 0.11% per day over the life of the 2026-04-17 option contract. With Unisys trading at USD 2.97, that is roughly USD 0.003341 . If you think that the market is fully incorporating Unisys' daily price movement you should consider acquiring Unisys options at the current volatility level of 1.8%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Unisys Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Unisys' 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 Unisys' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Unisys 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 Unisys' open interest, investors have to compare it to Unisys' 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 Unisys 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 Unisys. 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.
Unisys Additional Predictive Modules
Most predictive techniques to examine Unisys price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Unisys using various technical indicators. When you analyze Unisys 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 |
Unisys Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Unisys on the next trading day is expected to be 2.85 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.11, and the sum of the absolute errors of 16.95.Please note that although there have been many attempts to predict Unisys 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 Unisys' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Unisys Stock Forecast Pattern
| Backtest Unisys | Unisys Price Prediction | Buy or Sell Advice |
Unisys Forecasted Value
In the context of forecasting Unisys' 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. Unisys' downside and upside margins for the forecasting period are 0.03 and 6.87, respectively. We have considered Unisys' 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 Regression forecasting method's relative quality and the estimations of the prediction error of Unisys stock data series using in forecasting. Note that when a statistical model is used to represent Unisys 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 | 117.7588 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2733 |
| MAPE | Mean absolute percentage error | 0.0917 |
| SAE | Sum of the absolute errors | 16.9451 |
Predictive Modules for Unisys
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Unisys. 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.Unisys After-Hype Price Prediction Density Analysis
As far as predicting the price of Unisys 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 Unisys 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 Unisys, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Unisys Estimiated After-Hype Price Volatility
In the context of predicting Unisys' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Unisys' historical news coverage. Unisys' after-hype downside and upside margins for the prediction period are 0.00 and 4.00, respectively. We have considered Unisys' 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Unisys is out of control at this time. Analysis and calculation of next after-hype price of Unisys is based on 3 months time horizon.
Unisys Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Unisys is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Unisys 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 Unisys, 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 |
0.31 | 4.02 | 0.05 | 0.01 | 23 Events / Month | 8 Events / Month | In about 23 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
2.97 | 0.00 | 0.00 |
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Unisys Hype Timeline
On the 23rd of January Unisys is traded for 2.97. The entity has historical hype elasticity of -0.05, and average elasticity to hype of competition of -0.01. Unisys 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 over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at -0.31%. %. The volatility of related hype on Unisys is about 23647.06%, with the expected price after the next announcement by competition of 2.96. About 81.0% of the company outstanding shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 0.42. Unisys recorded a loss per share of 4.62. The entity last dividend was issued on the 18th of June 1990. The firm had 1:10 split on the 26th of October 2009. Considering the 90-day investment horizon the next forecasted press release will be in about 23 days. Check out Historical Fundamental Analysis of Unisys to cross-verify your projections.Unisys Related Hype Analysis
Having access to credible news sources related to Unisys' direct competition is more important than ever and may enhance your ability to predict Unisys' future price movements. Getting to know how Unisys' 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 Unisys may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DMRC | Digimarc | 0.03 | 14 per month | 0.00 | (0.08) | 7.30 | (7.96) | 25.20 | |
| SMRT | SmartRent | (0.07) | 10 per month | 2.08 | 0.06 | 5.75 | (4.06) | 21.69 | |
| MEI | Methode Electronics | 0.08 | 18 per month | 3.64 | 0.02 | 4.76 | (4.16) | 18.04 | |
| GDC | GD Culture Group | (0.07) | 31 per month | 6.06 | 0.01 | 11.74 | (9.57) | 60.85 | |
| AZ | A2Z Smart Technologies | 0.15 | 9 per month | 5.03 | 0.05 | 7.79 | (7.12) | 25.03 | |
| ALTS | ALT5 Sigma | (0.02) | 9 per month | 5.94 | 0.06 | 15.07 | (9.81) | 34.80 | |
| OCFT | Oneconnect Financial Technology | (0.07) | 19 per month | 0.52 | 0.01 | 1.55 | (1.11) | 4.57 | |
| DVLT | Datavault AI | (0.16) | 10 per month | 9.52 | (0.0001) | 42.57 | (17.34) | 72.53 | |
| III | Information Services Group | (0.07) | 8 per month | 2.47 | 0 | 4.07 | (3.46) | 19.29 | |
| VUZI | Vuzix Corp Cmn | 0.03 | 20 per month | 0.00 | (0.03) | 9.38 | (8.86) | 43.23 |
Other Forecasting Options for Unisys
For every potential investor in Unisys, whether a beginner or expert, Unisys' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Unisys Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Unisys. Basic forecasting techniques help filter out the noise by identifying Unisys' price trends.Unisys 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 Unisys stock to make a market-neutral strategy. Peer analysis of Unisys could also be used in its relative valuation, which is a method of valuing Unisys by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Unisys Market Strength Events
Market strength indicators help investors to evaluate how Unisys stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Unisys shares will generate the highest return on investment. By undertsting and applying Unisys stock market strength indicators, traders can identify Unisys entry and exit signals to maximize returns.
| Accumulation Distribution | 22575.14 | |||
| Daily Balance Of Power | (0.13) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 3.05 | |||
| Day Typical Price | 3.02 | |||
| Price Action Indicator | (0.09) | |||
| Period Momentum Indicator | (0.02) | |||
| Relative Strength Index | 45.18 |
Unisys Risk Indicators
The analysis of Unisys' 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 Unisys' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting unisys 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 | 2.57 | |||
| Standard Deviation | 3.93 | |||
| Variance | 15.44 |
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 Unisys
The number of cover stories for Unisys depends on current market conditions and Unisys' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Unisys 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 Unisys' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Unisys Short Properties
Unisys' future price predictability will typically decrease when Unisys' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Unisys often depends not only on the future outlook of the potential Unisys' 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. Unisys' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 69.2 M | |
| Cash And Short Term Investments | 376.5 M |
Additional Tools for Unisys Stock Analysis
When running Unisys' price analysis, check to measure Unisys' 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 Unisys is operating at the current time. Most of Unisys' value examination focuses on studying past and present price action to predict the probability of Unisys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Unisys' price. Additionally, you may evaluate how the addition of Unisys to your portfolios can decrease your overall portfolio volatility.