Companhia Paranaense De Stock Pattern Recognition Separating Lines
| ELP Stock | USD 6.55 0.03 0.46% |
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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 eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Separating Lines pattern occurs when there is an uptrend in Companhia Paranaense movement followed by an immediate pullback.
Companhia Paranaense Technical Analysis Modules
Most technical analysis of Companhia Paranaense 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 Companhia from various momentum indicators to cycle indicators. When you analyze Companhia 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.| Cycle Indicators | ||
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About Companhia Paranaense 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 Companhia Paranaense de. We use our internally-developed statistical techniques to arrive at the intrinsic value of Companhia Paranaense de based on widely used predictive technical indicators. In general, we focus on analyzing Companhia Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Companhia Paranaense'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 Companhia Paranaense's intrinsic value. In addition to deriving basic predictive indicators for Companhia Paranaense, we also check how macroeconomic factors affect Companhia Paranaense price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0551 | 0.0254 | 0.006088 | 0.00912 | Price To Sales Ratio | 2.93 | 3.89 | 5.74 | 4.84 |
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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.Did you try this?
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Companhia Paranaense 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 Companhia Paranaense 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 Companhia Paranaense will appreciate offsetting losses from the drop in the long position's value.Companhia Paranaense Pair Trading
Companhia Paranaense de Pair Trading Analysis
The ability to find closely correlated positions to Companhia Paranaense could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Companhia Paranaense 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 Companhia Paranaense - 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 Companhia Paranaense de to buy it.
The correlation of Companhia Paranaense is a statistical measure of how it moves in relation to other instruments. 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 Companhia Paranaense moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Companhia Paranaense 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 Companhia Paranaense 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.Additional Tools for Companhia Stock Analysis
When running Companhia Paranaense's price analysis, check to measure Companhia Paranaense'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 Companhia Paranaense is operating at the current time. Most of Companhia Paranaense's value examination focuses on studying past and present price action to predict the probability of Companhia Paranaense's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Companhia Paranaense's price. Additionally, you may evaluate how the addition of Companhia Paranaense to your portfolios can decrease your overall portfolio volatility.