Neurones (France) Analysis

Neurones Stock Analysis Notes

About 71.0% of the company outstanding shares are owned by corporate insiders. The book value of Neurones was now reported as 12.78. The company last dividend was issued on the 8th of June 2022. Neurones S.A., an information technology services company, provides infrastructure, application, and consulting services in France and internationally. Neurones S.A. was founded in 1985 and is headquartered in Nanterre, France. NEURONES operates under Information Technology Services classification in France and is traded on Paris Stock Exchange. It employs 5160 people. To find out more about Neurones contact Luc Chammard at 33 1 41 37 41 37 or learn more at https://www.neurones.net.

Neurones Investment Alerts

Neurones Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.01 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Neurones's market, we take the total number of its shares issued and multiply it by Neurones's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Neurones Profitablity

The company has Profit Margin (PM) of 0.07 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.11 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.11.

Technical Drivers

As of the 24th of January, Neurones secures the Mean Deviation of 1.0, standard deviation of 1.3, and Risk Adjusted Performance of (0.06). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Neurones, as well as the relationship between them.

Neurones Price Movement Analysis

Neurones Outstanding Bonds

Neurones Predictive Daily Indicators

Neurones Forecast Models

Neurones' time-series forecasting models are one of many Neurones' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Neurones' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Neurones prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Neurones shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Neurones. By using and applying Neurones Stock analysis, traders can create a robust methodology for identifying Neurones entry and exit points for their positions.

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