SOFTWARE MANSION Stock Forecast - Simple Regression

SWM Stock   39.80  1.40  3.65%   
The Simple Regression forecasted value of SOFTWARE MANSION SPOLKA on the next trading day is expected to be 36.59 with a mean absolute deviation of 1.75 and the sum of the absolute errors of 107.00. Investors can use prediction functions to forecast SOFTWARE MANSION's stock prices and determine the direction of SOFTWARE MANSION SPOLKA's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of SOFTWARE MANSION's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing. As of today the value of rsi of SOFTWARE MANSION'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 SOFTWARE MANSION's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of SOFTWARE MANSION and does not consider all of the tangible or intangible factors available from SOFTWARE MANSION's fundamental data. We analyze noise-free headlines and recent hype associated with SOFTWARE MANSION SPOLKA, which may create opportunities for some arbitrage if properly timed.
Using SOFTWARE MANSION hype-based prediction, you can estimate the value of SOFTWARE MANSION SPOLKA from the perspective of SOFTWARE MANSION response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of SOFTWARE MANSION SPOLKA on the next trading day is expected to be 36.59 with a mean absolute deviation of 1.75 and the sum of the absolute errors of 107.00.

SOFTWARE MANSION after-hype prediction price

    
  PLN 39.8  
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 World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

SOFTWARE MANSION Additional Predictive Modules

Most predictive techniques to examine SOFTWARE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SOFTWARE using various technical indicators. When you analyze SOFTWARE 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 SOFTWARE MANSION 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.

SOFTWARE MANSION Simple Regression Price Forecast For the 25th of January

Given 90 days horizon, the Simple Regression forecasted value of SOFTWARE MANSION SPOLKA on the next trading day is expected to be 36.59 with a mean absolute deviation of 1.75, mean absolute percentage error of 4.40, and the sum of the absolute errors of 107.00.
Please note that although there have been many attempts to predict SOFTWARE 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 SOFTWARE MANSION's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SOFTWARE MANSION Stock Forecast Pattern

SOFTWARE MANSION Forecasted Value

In the context of forecasting SOFTWARE MANSION'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. SOFTWARE MANSION's downside and upside margins for the forecasting period are 33.36 and 39.82, respectively. We have considered SOFTWARE MANSION'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
39.80
36.59
Expected Value
39.82
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 SOFTWARE MANSION stock data series using in forecasting. Note that when a statistical model is used to represent SOFTWARE MANSION 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 Criteria119.5927
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7541
MAPEMean absolute percentage error0.0453
SAESum of the absolute errors106.9983
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 SOFTWARE MANSION SPOLKA 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 SOFTWARE MANSION

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SOFTWARE MANSION SPOLKA. 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 SOFTWARE MANSION'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.

SOFTWARE MANSION Estimiated After-Hype Price Prediction Volatility

As far as predicting the price of SOFTWARE MANSION 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 SOFTWARE MANSION 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 SOFTWARE MANSION, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

SOFTWARE MANSION Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as SOFTWARE MANSION is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SOFTWARE MANSION 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 SOFTWARE MANSION, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.12 
3.23
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
39.80
39.80
0.00 
0.00  
Notes

SOFTWARE MANSION Hype Timeline

SOFTWARE MANSION SPOLKA is at this time traded for 39.80on Warsaw Stock Exchange of Poland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SOFTWARE 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 at this time at -0.12%. %. The volatility of related hype on SOFTWARE MANSION is about 0.0%, with the expected price after the next announcement by competition of 39.80. Assuming the 90 days trading horizon the next projected press release will be within a week.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

SOFTWARE MANSION Related Hype Analysis

Having access to credible news sources related to SOFTWARE MANSION's direct competition is more important than ever and may enhance your ability to predict SOFTWARE MANSION's future price movements. Getting to know how SOFTWARE MANSION'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 SOFTWARE MANSION may potentially react to the hype associated with one of its peers.

Other Forecasting Options for SOFTWARE MANSION

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

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

SOFTWARE MANSION Market Strength Events

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

SOFTWARE MANSION Risk Indicators

The analysis of SOFTWARE MANSION'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 SOFTWARE MANSION's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting software 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.

Story Coverage note for SOFTWARE MANSION

The number of cover stories for SOFTWARE MANSION depends on current market conditions and SOFTWARE MANSION's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SOFTWARE MANSION 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 SOFTWARE MANSION's 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

Additional Tools for SOFTWARE Stock Analysis

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