Trucknet Enterprise (Israel) Analysis

Trucknet Stock Analysis Notes

About 60.0% of the company outstanding shares are owned by corporate insiders. The company had not issued any dividends in recent years. Trucknet Enterprise Ltd develops cloud-based transport optimization platform for fleet management companies. The company was founded in 2016 and is based in Eilat, Israel. TRUCKNET ENTERPRIS is traded on Tel Aviv Stock Exchange in Israel. To find out more about Trucknet Enterprise contact Hanan Friedman at 972 7 797 09090 or learn more at https://trucknet.io.

Trucknet Enterprise Investment Alerts

Trucknet Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 34.48 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Trucknet Enterprise's market, we take the total number of its shares issued and multiply it by Trucknet Enterprise'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.

Technical Drivers

As of the 28th of December, Trucknet Enterprise has the Semi Deviation of 3.08, risk adjusted performance of 0.0623, and Coefficient Of Variation of 1468.46. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Trucknet Enterprise, as well as the relationship between them.

Trucknet Enterprise Price Movement Analysis

Trucknet Enterprise Outstanding Bonds

Trucknet Enterprise Predictive Daily Indicators

Trucknet Enterprise Forecast Models

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

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