Claranova (France) Analysis

Claranova Stock Analysis Notes

About 16.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.24. Claranova SE had not issued any dividends in recent years. The entity had 1:10 split on the 1st of August 2019. Claranova S.E. engages in the digital printing, management of the Internet of Things, and e-commerce businesses. Claranova S.E. was founded in 1984 and is based in La Garenne-Colombes, France. CLARANOVA operates under Software Providers classification in France and is traded on Paris Stock Exchange. For more info on Claranova SE please contact Eric Gareau at (33) 1 41 27 19 75 or go to www.claranova.com.

Claranova SE Investment Alerts

Claranova Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 83.71 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Claranova's market, we take the total number of its shares issued and multiply it by Claranova'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.

Claranova Profitablity

The company has Profit Margin (PM) of (0.02) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of 0.04 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.04.

Technical Drivers

As of the 27th of February, Claranova shows the mean deviation of 2.81, and Risk Adjusted Performance of 0.1082. Claranova SE technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.

Claranova SE Price Movement Analysis

Claranova Outstanding Bonds

Claranova Predictive Daily Indicators

Claranova Forecast Models

Claranova's time-series forecasting models are one of many Claranova's 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 Claranova's 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 Claranova 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 Claranova 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 Claranova. By using and applying Claranova Stock analysis, traders can create a robust methodology for identifying Claranova entry and exit points for their positions.

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