LSI Software Stock Forecast - Simple Regression

LSI Stock   32.80  0.40  1.23%   
The Simple Regression forecasted value of LSI Software SA on the next trading day is expected to be 32.24 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.16. LSI Stock Forecast is based on your current time horizon.
As of today the value of rsi of LSI Software's share price is below 20 . This 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
The successful prediction of LSI Software'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 LSI Software and does not consider all of the tangible or intangible factors available from LSI Software's fundamental data. We analyze noise-free headlines and recent hype associated with LSI Software SA, which may create opportunities for some arbitrage if properly timed.
Using LSI Software hype-based prediction, you can estimate the value of LSI Software SA from the perspective of LSI Software response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of LSI Software SA on the next trading day is expected to be 32.24 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 48.16.

LSI Software after-hype prediction price

    
  PLN 32.8  
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 Historical Fundamental Analysis of LSI Software to cross-verify your projections.

LSI Software Additional Predictive Modules

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

LSI Software Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of LSI Software SA on the next trading day is expected to be 32.24 with a mean absolute deviation of 0.79, mean absolute percentage error of 0.88, and the sum of the absolute errors of 48.16.
Please note that although there have been many attempts to predict LSI 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 LSI Software's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

LSI Software Stock Forecast Pattern

Backtest LSI SoftwareLSI Software Price PredictionBuy or Sell Advice 

LSI Software Forecasted Value

In the context of forecasting LSI Software'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. LSI Software's downside and upside margins for the forecasting period are 30.32 and 34.16, respectively. We have considered LSI Software'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
32.80
32.24
Expected Value
34.16
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 LSI Software stock data series using in forecasting. Note that when a statistical model is used to represent LSI Software 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 Criteria117.9819
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7896
MAPEMean absolute percentage error0.0267
SAESum of the absolute errors48.1632
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 LSI Software SA 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 LSI Software

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LSI Software SA. 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 LSI Software'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
30.8832.8034.72
Details
Intrinsic
Valuation
LowRealHigh
24.5426.4636.08
Details
Bollinger
Band Projection (param)
LowMiddleHigh
27.0230.4833.93
Details

LSI Software After-Hype Price Prediction Density Analysis

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

LSI Software Estimiated After-Hype Price Volatility

In the context of predicting LSI Software's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on LSI Software's historical news coverage. LSI Software's after-hype downside and upside margins for the prediction period are 30.88 and 34.72, respectively. We have considered LSI Software'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
32.80
32.80
After-hype Price
34.72
Upside
LSI Software is very steady at this time. Analysis and calculation of next after-hype price of LSI Software SA is based on 3 months time horizon.

LSI Software Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as LSI Software is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading LSI Software 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 LSI Software, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.32 
1.92
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Uncertain
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
32.80
32.80
0.00 
0.00  
Notes

LSI Software Hype Timeline

LSI Software SA is now traded for 32.80on Warsaw Stock Exchange of Poland. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. LSI 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 now at 0.32%. %. The volatility of related hype on LSI Software is about 0.0%, with the expected price after the next announcement by competition of 32.80. About 44.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.77. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. LSI Software SA last dividend was issued on the 22nd of July 2019. Assuming the 90 days trading horizon the next projected press release will be uncertain.
Check out Historical Fundamental Analysis of LSI Software to cross-verify your projections.

LSI Software Related Hype Analysis

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

Other Forecasting Options for LSI Software

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

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

LSI Software Market Strength Events

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

LSI Software Risk Indicators

The analysis of LSI Software'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 LSI Software's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lsi 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 LSI Software

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

LSI Software Short Properties

LSI Software's future price predictability will typically decrease when LSI Software's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of LSI Software SA often depends not only on the future outlook of the potential LSI Software'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. LSI Software's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding107.5 M
Cash And Short Term Investments12.7 M

Additional Tools for LSI Stock Analysis

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