Power Finance (India) Momentum Indicators Aroon
| PFC Stock | 364.30 10.30 2.75% |
| Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Aroon Indicator was developed by Tushar S. Chande to indicate when a new trend is dawning. The indicator consists of two lines that measure how long it has been since the highest high/lowest low has occurred within an (N) period range. When Power Finance Aroon Up is staying between 70 and 100 then it indicates an upward trend. When the Aroon Down is staying between 70 and 100 then it indicates an downward trend. A strong upward trend is indicated when the Aroon Up is above 70 while the Aroon Down is below 30. When Power Finance Aroon Down crosses above the Aroon Up, it indicates a weakening of the upward trend (and vice versa).
Power Finance Technical Analysis Modules
Most technical analysis of Power Finance 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Power Finance 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 Power Finance. We use our internally-developed statistical techniques to arrive at the intrinsic value of Power Finance based on widely used predictive technical indicators. In general, we focus on analyzing Power Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Power Finance's daily price indicators and compare them against related drivers, such as momentum indicators 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 Power Finance's intrinsic value. In addition to deriving basic predictive indicators for Power Finance, we also check how macroeconomic factors affect Power Finance price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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.Did you try this?
Run Investing Opportunities Now
Investing OpportunitiesBuild portfolios using our predefined set of ideas and optimize them against your investing preferences |
| All Next | Launch Module |
Power Finance 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 Power Finance 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 Power Finance will appreciate offsetting losses from the drop in the long position's value.Power Finance Pair Trading
Power Finance Pair Trading Analysis
The ability to find closely correlated positions to Power Finance could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Power Finance 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 Power Finance - 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 Power Finance to buy it.
The correlation of Power Finance 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 Power Finance moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Power Finance 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 Power Finance 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.Other Information on Investing in Power Stock
Power Finance financial ratios help investors to determine whether Power Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Power with respect to the benefits of owning Power Finance security.