Tymbal Stock Analysis

Tymbal Stock Analysis Notes

About 21.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.01. Tymbal Resources last dividend was issued on the 23rd of September 2019. The entity had 1:10 split on the 23rd of September 2019. Tymbal Resources Ltd. engages in the exploration and evaluation of mineral properties in Canada. Tymbal Resources Ltd. was incorporated in 1980 and is based in Vancouver, Canada. TYMBAL RESOURCES is traded on Commodity Exchange in Exotistan. To find out more about Tymbal Resources contact Sammy Cheng at 604 662 8130.

Tymbal Resources Investment Alerts

Tymbal Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 538.26 K. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Tymbal Resources's market, we take the total number of its shares issued and multiply it by Tymbal Resources'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.

Management Efficiency

The entity has return on total asset (ROA) of (0.3199) % which means that it has lost $0.3199 on every $100 spent on asset. This is way below average. Tymbal Resources management efficiency ratios could be used to measure how well tymbal resources manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

Tymbal Resources Price Movement Analysis

Tymbal Resources Technical and Predictive Indicators

Tymbal Resources Forecast Models

Tymbal Resources time-series forecasting models is one of many Tymbal Resources' stock analysis techniquest aimed to predict 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 Tymbal Resources' 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 Tymbal Resources 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 Tymbal 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 Tymbal Resources. By using and applying Tymbal Stock analysis, traders can create a robust methodology for identifying Tymbal entry and exit points for their positions.

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