Ping An Biomedical Stock Analysis

PASW Stock   0.64  0.02  3.23%   
Ping An Biomedical is overvalued with Real Value of 0.59 and Hype Value of 0.63. The main objective of Ping An stock analysis is to determine its intrinsic value, which is an estimate of what Ping An Biomedical is worth, separate from its market price. There are two main types of Ping An's stock analysis: fundamental analysis and technical analysis.
The Ping An stock is traded in the USA on NASDAQ Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Ping An is usually not traded on Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day. Ping Stock trading window is adjusted to America/New York timezone.
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Ping An Biomedical. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in real.

Ping Stock Analysis Notes

The company had not issued any dividends in recent years. To find out more about Ping An Biomedical contact Lina Jiang at 852 3915 2600 or learn more at https://newbrandcashmere.com.

Ping An Biomedical Investment Alerts

Ping An Biomedical generated a negative expected return over the last 90 days
Ping An Biomedical has high historical volatility and very poor performance
Ping An Biomedical has some characteristics of a very speculative penny stock
Ping An Biomedical has high likelihood to experience some financial distress in the next 2 years
Ping An Biomedical was previously known as MJID Old and was traded on NASDAQ Exchange under the symbol MJID.

Technical Drivers

As of the 27th of December, Ping An holds the Coefficient Of Variation of (646.72), risk adjusted performance of (0.1), and Variance of 32.58. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Ping An, as well as the relationship between them. Please check Ping An Biomedical information ratio and kurtosis to decide if Ping An Biomedical is priced some-what accurately, providing market reflects its current price of 0.64 per share. As Ping An Biomedical is a penny stock we also suggest to check out its jensen alpha numbers.

Ping An Biomedical Price Movement Analysis

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Ping An Biomedical changes than the simple moving average.

Ping An Outstanding Bonds

Ping An issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Ping An Biomedical uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Ping bonds can be classified according to their maturity, which is the date when Ping An Biomedical has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

Ping An Predictive Daily Indicators

Ping An intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Ping An stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Ping An Forecast Models

Ping An's time-series forecasting models are one of many Ping An'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 Ping An'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.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Ping An to your portfolios without increasing risk or reducing expected return.

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Additional Tools for Ping Stock Analysis

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