Appfolio Stock Overlap Studies Bollinger Bands
| APPF Stock | USD 253.75 1.07 0.42% |
| Symbol |
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 Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Appfolio middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Appfolio. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Appfolio Technical Analysis Modules
Most technical analysis of Appfolio 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 Appfolio from various momentum indicators to cycle indicators. When you analyze Appfolio 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 Appfolio 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 Appfolio. We use our internally-developed statistical techniques to arrive at the intrinsic value of Appfolio based on widely used predictive technical indicators. In general, we focus on analyzing Appfolio Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Appfolio's daily price indicators and compare them against related drivers, such as overlap studies 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 Appfolio's intrinsic value. In addition to deriving basic predictive indicators for Appfolio, we also check how macroeconomic factors affect Appfolio 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) | Graham Number | 2.4 | 18.22 | 3.77 | 6.66 | Receivables Turnover | 28.53 | 28.59 | 29.96 | 38.09 |
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 Fundamentals Comparison Now
Fundamentals ComparisonCompare fundamentals across multiple equities to find investing opportunities |
| All Next | Launch Module |
Appfolio 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 Appfolio 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 Appfolio will appreciate offsetting losses from the drop in the long position's value.Appfolio Pair Trading
Appfolio Pair Trading Analysis
The ability to find closely correlated positions to Appfolio could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Appfolio 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 Appfolio - 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 Appfolio to buy it.
The correlation of Appfolio 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 Appfolio moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Appfolio 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 Appfolio 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Appfolio. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. For more detail on how to invest in Appfolio Stock please use our How to Invest in Appfolio guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Is Application Software space 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 Appfolio. If investors know Appfolio 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 Appfolio 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 0.25 | Earnings Share 3.62 | Revenue Per Share 21.111 | Quarterly Revenue Growth 0.244 | Return On Assets 0.1953 |
The market value of Appfolio is measured differently than its book value, which is the value of Appfolio that is recorded on the company's balance sheet. Investors also form their own opinion of Appfolio's value that differs from its market value or its book value, called intrinsic value, which is Appfolio'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 Appfolio's market value can be influenced by many factors that don't directly affect Appfolio'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 Appfolio's value and its price as these two are different measures arrived at by different means. Investors typically determine if Appfolio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Appfolio'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.