Techcom Stock Analysis

TechCom Pink Sheet Analysis Notes

About 85.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.0. TechCom last dividend was issued on the 13th of May 2019. The entity had 1:1000 split on the 13th of May 2019. Previously, it was engaged in research and development of broadband technology. TechCom, Inc. was founded in 2000 and is based in Wilmington, Delaware. Techcom is traded on OTC Exchange in the United States.The quote for TechCom is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To find out more about TechCom contact Seng Kok at 852-2980-3711 or learn more at https://www.techcominc.com.

TechCom Investment Alerts

TechCom Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 4.56 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate TechCom's market, we take the total number of its shares issued and multiply it by TechCom'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 26th of December, TechCom has the Semi Deviation of 9.87, coefficient of variation of 1489.77, and Risk Adjusted Performance of 0.0568. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of TechCom, as well as the relationship between them.

TechCom Price Movement Analysis

TechCom Outstanding Bonds

TechCom Predictive Daily Indicators

TechCom Forecast Models

TechCom's time-series forecasting models are one of many TechCom's pink sheet 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 TechCom'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.

Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how TechCom 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 TechCom shares will generate the highest return on investment. We also built our pink sheet 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 Pink Sheet such as TechCom. By using and applying TechCom Pink Sheet analysis, traders can create a robust methodology for identifying TechCom entry and exit points for their positions.

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