Neurones Stock Forward View - Simple Regression

NRO Stock  EUR 33.90  1.30  3.69%   
Neurones Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Neurones stock prices and determine the direction of Neurones's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Neurones' historical fundamentals, such as revenue growth or operating cash flow patterns.
At this time, The relative strength index (RSI) of Neurones' share price is at 50. This indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Neurones, making its price go up or down.

Momentum 50

 Impartial

 
Oversold
 
Overbought
The successful prediction of Neurones' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Neurones, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Neurones' stock price prediction:
Quarterly Earnings Growth
(0.08)
EPS Estimate Current Year
2.1777
EPS Estimate Next Year
2.3522
Wall Street Target Price
52
Quarterly Revenue Growth
0.054
Using Neurones hype-based prediction, you can estimate the value of Neurones from the perspective of Neurones response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Neurones on the next trading day is expected to be 36.15 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 61.98.

Neurones after-hype prediction price

    
  EUR 32.83  
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 Neurones to cross-verify your projections.

Neurones Additional Predictive Modules

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

Neurones Simple Regression Price Forecast For the 25th of February

Given 90 days horizon, the Simple Regression forecasted value of Neurones on the next trading day is expected to be 36.15 with a mean absolute deviation of 1.00, mean absolute percentage error of 1.62, and the sum of the absolute errors of 61.98.
Please note that although there have been many attempts to predict Neurones 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 Neurones' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Neurones Stock Forecast Pattern

Backtest Neurones  Neurones Price Prediction  Research Analysis  

Neurones Forecasted Value

In the context of forecasting Neurones' 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. Neurones' downside and upside margins for the forecasting period are 34.47 and 37.82, respectively. We have considered Neurones' 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
33.90
36.15
Expected Value
37.82
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 Neurones stock data series using in forecasting. Note that when a statistical model is used to represent Neurones 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 Criteria120.4306
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9996
MAPEMean absolute percentage error0.0254
SAESum of the absolute errors61.976
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 Neurones 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 Neurones

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Neurones. 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.
Hype
Prediction
LowEstimatedHigh
31.1532.8334.51
Details
Intrinsic
Valuation
LowRealHigh
31.8833.5635.24
Details
Bollinger
Band Projection (param)
LowMiddleHigh
7.9935.6038.36
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.540.540.54
Details

Neurones After-Hype Price Density Analysis

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

Neurones Estimiated After-Hype Price Volatility

In the context of predicting Neurones' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Neurones' historical news coverage. Neurones' after-hype downside and upside margins for the prediction period are 31.15 and 34.51, respectively. We have considered Neurones' 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
33.90
32.83
After-hype Price
34.51
Upside
Neurones is very steady at this time. Analysis and calculation of next after-hype price of Neurones is based on 3 months time horizon.

Neurones Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Neurones is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Neurones 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 Neurones, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.39 
1.68
  1.07 
  0.01 
2 Events / Month
2 Events / Month
In a few days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
33.90
32.83
3.16 
61.09  
Notes

Neurones Hype Timeline

Neurones is now traded for 33.90on Euronext Paris of France. The entity has historical hype elasticity of -1.07, and average elasticity to hype of competition of 0.01. Neurones is estimated to decline in value after the next headline, with the price expected to drop to 32.83. The average volatility of media hype impact on the company price is about 61.09%. The price drop on the next news is expected to be -3.16%, whereas the daily expected return is now at -0.39%. The volatility of related hype on Neurones is about 9333.33%, with the expected price after the next announcement by competition of 33.91. About 70.0% of the company outstanding shares are owned by corporate insiders. The book value of Neurones was now reported as 15.29. The company last dividend was issued on the 11th of June 2025. Assuming the 90 days trading horizon the next estimated press release will be in a few days.
Check out Historical Fundamental Analysis of Neurones to cross-verify your projections.

Neurones Related Hype Analysis

Having access to credible news sources related to Neurones' direct competition is more important than ever and may enhance your ability to predict Neurones' future price movements. Getting to know how Neurones' 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 Neurones may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
ATOAtos SE 0.22 3 per month 0.00 (0.08) 5.91 (5.48) 20.59 
AUBAubay Socit Anonyme 1.10 1 per month 0.00 (0.10) 2.34 (4.27) 10.31 
WAVEWavestone SA(0.80)3 per month 0.00 (0.04) 3.19 (4.53) 20.92 
74SW74SW 0.90 2 per month 0.00 (0.08) 3.51 (4.26) 14.88 
UBIUbisoft Entertainment(1.27)3 per month 0.00 (0.09) 8.37 (8.15) 48.29 
LSSLectra SA(0.55)5 per month 0.00 (0.13) 3.40 (4.33) 9.77 
INFInfotel SA 0.50 1 per month 0.00 (0.16) 2.11 (2.97) 7.02 
MLCHECheops Technology France 0.00 0 per month 0.00 (0.08) 2.65 (1.72) 9.06 
XFABX Fab Silicon 0.06 2 per month 2.70 (0.02) 3.13 (4.69) 10.47 
WLNWorldline SA 0.02 2 per month 0.00 (0.09) 5.26 (5.30) 18.13 

Other Forecasting Options for Neurones

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

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

Neurones Market Strength Events

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

Neurones Risk Indicators

The analysis of Neurones' 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 Neurones' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting neurones 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 Neurones

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

Neurones Short Properties

Neurones' future price predictability will typically decrease when Neurones' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Neurones often depends not only on the future outlook of the potential Neurones' 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. Neurones' indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding24.3 M
Cash And Short Term Investments326.5 M

Other Information on Investing in Neurones Stock

Neurones financial ratios help investors to determine whether Neurones Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Neurones with respect to the benefits of owning Neurones security.