P A Stock Pattern Recognition Morning Doji Star

PTSI
 Stock
  

USD 35.79  0.63  1.79%   

P A pattern recognition tool provides the execution environment for running the Morning Doji Star recognition and other technical functions against P A. P A value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of pattern recognition indicators. As with most other technical indicators, the Morning Doji Star recognition function is designed to identify and follow existing trends. P A momentum indicators are usually used to generate trading rules based on assumptions that P A trends in prices tend to continue for long periods. Please specify Penetration to run this model.

Recognition
Penetration
Execute Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was twelve with a total number of output elements of fourty-nine. The function did not return any valid pattern recognition events for the selected time horizon. The Morning Doji Star pattern may predict P A bullish trend reversal.
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P A Technical Analysis Modules

Most technical analysis of P A help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for P A from various momentum indicators to cycle indicators. When you analyze P A charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About P A Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of P A M. We use our internally-developed statistical techniques to arrive at the intrinsic value of P A M based on widely used predictive technical indicators. In general, we focus on analyzing P A Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build P A's daily price indicators and compare them against related drivers, such as pattern recognition and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of P A's intrinsic value. In addition to deriving basic predictive indicators for P A, we also check how macroeconomic factors affect P A price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2020 2021 2022 (projected)
Long Term Debt to Equity1.31.520.80.77
Interest Coverage1.523.8912.2813.26
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of P A's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of P A in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
33.2537.1841.11
Details
Intrinsic
Valuation
LowReal ValueHigh
32.2146.5750.50
Details
Naive
Forecast
LowNext ValueHigh
31.3735.3039.23
Details
1 Analysts
Consensus
LowTarget PriceHigh
85.0085.0085.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as P A. Your research has to be compared to or analyzed against P A's peers to derive any actionable benefits. When done correctly, P A's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in P A M.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Portfolio Volatility

Check portfolio volatility and analyze historical return density to properly model market risk
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P A M pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if P A position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in P A will appreciate offsetting losses from the drop in the long position's value.

P A Pair Trading

P A M Pair Trading Analysis

The ability to find closely correlated positions to P A could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace P A when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back P A - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling P A M to buy it.
The correlation of P A is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as P A moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if P A M moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for P A can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Please check Your Equity Center. Note that the P A M information on this page should be used as a complementary analysis to other P A's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

Complementary Tools for P A Stock analysis

When running P A M price analysis, check to measure P A'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 P A is operating at the current time. Most of P A's value examination focuses on studying past and present price action to predict the probability of P A's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move P A's price. Additionally, you may evaluate how the addition of P A to your portfolios can decrease your overall portfolio volatility.
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Is P A's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of P A. If investors know P A will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about P A listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
0.62
Market Capitalization
782.9 M
Quarterly Revenue Growth YOY
0.47
Return On Assets
0.13
Return On Equity
0.44
The market value of P A M is measured differently than its book value, which is the value of P A that is recorded on the company's balance sheet. Investors also form their own opinion of P A's value that differs from its market value or its book value, called intrinsic value, which is P A's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because P A's market value can be influenced by many factors that don't directly affect P A's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between P A's value and its price as these two are different measures arrived at by different means. Investors typically determine P A value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, P A's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.