HMS Networks Stock Forward View - Double Exponential Smoothing
| HMS Stock | SEK 398.40 3.00 0.75% |
HMS Stock outlook is based on your current time horizon.
At this time the value of rsi of HMS Networks' share price is below 20 . This usually indicates 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 |
Using HMS Networks hype-based prediction, you can estimate the value of HMS Networks AB from the perspective of HMS Networks response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of HMS Networks AB on the next trading day is expected to be 398.08 with a mean absolute deviation of 6.70 and the sum of the absolute errors of 401.95. HMS Networks after-hype prediction price | SEK 398.4 |
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.
HMS |
HMS Networks Additional Predictive Modules
Most predictive techniques to examine HMS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for HMS using various technical indicators. When you analyze HMS 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 |
HMS Networks Double Exponential Smoothing Price Forecast For the 11th of February 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of HMS Networks AB on the next trading day is expected to be 398.08 with a mean absolute deviation of 6.70, mean absolute percentage error of 75.62, and the sum of the absolute errors of 401.95.Please note that although there have been many attempts to predict HMS 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 HMS Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
HMS Networks Stock Forecast Pattern
| Backtest HMS Networks | HMS Networks Price Prediction | Research Analysis |
HMS Networks Forecasted Value
In the context of forecasting HMS Networks' 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. HMS Networks' downside and upside margins for the forecasting period are 396.22 and 399.95, respectively. We have considered HMS Networks' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of HMS Networks stock data series using in forecasting. Note that when a statistical model is used to represent HMS Networks 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.9165 |
| MAD | Mean absolute deviation | 6.6992 |
| MAPE | Mean absolute percentage error | 0.0155 |
| SAE | Sum of the absolute errors | 401.9504 |
Predictive Modules for HMS Networks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HMS Networks AB. 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.HMS Networks After-Hype Price Density Analysis
As far as predicting the price of HMS Networks 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 HMS Networks 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 HMS Networks, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
HMS Networks Estimiated After-Hype Price Volatility
In the context of predicting HMS Networks' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on HMS Networks' historical news coverage. HMS Networks' after-hype downside and upside margins for the prediction period are 396.53 and 400.27, respectively. We have considered HMS Networks' 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
HMS Networks is very steady at this time. Analysis and calculation of next after-hype price of HMS Networks AB is based on 3 months time horizon.
HMS Networks Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as HMS Networks is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading HMS Networks 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 HMS Networks, 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 |
0.45 | 1.87 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
398.40 | 398.40 | 0.00 |
|
HMS Networks Hype Timeline
HMS Networks AB is currently traded for 398.40on Stockholm Exchange of Sweden. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. HMS is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -0.45%. %. The volatility of related hype on HMS Networks is about 0.0%, with the expected price after the next announcement by competition of 398.40. About 14.0% of the company shares are held by company insiders. The company recorded earning per share (EPS) of 9.46. HMS Networks AB last dividend was issued on the 22nd of April 2022. The entity had 4:1 split on the 1st of June 2017. Assuming the 90 days trading horizon the next projected press release will be in a few days. Check out Historical Fundamental Analysis of HMS Networks to cross-verify your projections.HMS Networks Related Hype Analysis
Having access to credible news sources related to HMS Networks' direct competition is more important than ever and may enhance your ability to predict HMS Networks' future price movements. Getting to know how HMS Networks' 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 HMS Networks may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TIETOS | TietoEVRY Corp | 0.00 | 0 per month | 0.00 | (0.13) | 2.49 | (2.32) | 8.80 | |
| IVSO | Invisio Communications AB | 0.00 | 0 per month | 0.00 | (0.12) | 4.13 | (3.69) | 12.93 | |
| EMBRAC-B | Embracer Group AB | 0.00 | 0 per month | 0.00 | (0.25) | 3.37 | (4.05) | 35.60 | |
| PDX | Paradox Interactive AB | 0.00 | 0 per month | 0.00 | (0.16) | 2.78 | (3.54) | 25.60 | |
| EPEN | Ependion AB | 0.00 | 0 per month | 0.00 | (0.24) | 1.96 | (2.25) | 8.75 | |
| KEBNI-B | KebNi AB | 0.00 | 0 per month | 2.62 | (0.02) | 7.56 | (4.35) | 18.04 | |
| NETI-B | Net Insight AB | 0.00 | 0 per month | 0.00 | (0.17) | 4.53 | (6.33) | 49.02 | |
| HTRO | Hexatronic Group AB | 0.00 | 0 per month | 2.13 | 0.09 | 8.59 | (4.24) | 19.56 | |
| NCAB | NCAB Group | 0.00 | 0 per month | 0.00 | (0.21) | 3.37 | (3.79) | 10.27 | |
| ANOD-B | Addnode Group AB | 0.00 | 0 per month | 0.00 | (0.36) | 1.99 | (3.48) | 7.71 |
Other Forecasting Options for HMS Networks
For every potential investor in HMS, whether a beginner or expert, HMS Networks' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. HMS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in HMS. Basic forecasting techniques help filter out the noise by identifying HMS Networks' price trends.HMS Networks 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 HMS Networks stock to make a market-neutral strategy. Peer analysis of HMS Networks could also be used in its relative valuation, which is a method of valuing HMS Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
HMS Networks Market Strength Events
Market strength indicators help investors to evaluate how HMS Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HMS Networks shares will generate the highest return on investment. By undertsting and applying HMS Networks stock market strength indicators, traders can identify HMS Networks AB entry and exit signals to maximize returns.
| Accumulation Distribution | 6344.74 | |||
| Daily Balance Of Power | (0.18) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 399.9 | |||
| Day Typical Price | 399.4 | |||
| Market Facilitation Index | 1.0E-4 | |||
| Price Action Indicator | (3.00) | |||
| Period Momentum Indicator | (3.00) |
HMS Networks Risk Indicators
The analysis of HMS Networks' 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 HMS Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hms 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 | 1.31 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.18 |
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 HMS Networks
The number of cover stories for HMS Networks depends on current market conditions and HMS Networks' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that HMS Networks 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 HMS Networks' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
HMS Networks Short Properties
HMS Networks' future price predictability will typically decrease when HMS Networks' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of HMS Networks AB often depends not only on the future outlook of the potential HMS Networks' 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. HMS Networks' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 46.6 M | |
| Cash And Short Term Investments | 144 M |
Additional Tools for HMS Stock Analysis
When running HMS Networks' price analysis, check to measure HMS Networks' 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 HMS Networks is operating at the current time. Most of HMS Networks' value examination focuses on studying past and present price action to predict the probability of HMS Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HMS Networks' price. Additionally, you may evaluate how the addition of HMS Networks to your portfolios can decrease your overall portfolio volatility.