Appfolio Stock Technical Analysis
| APPF Stock | USD 250.85 8.37 3.23% |
As of the 29th of January, Appfolio shows the Downside Deviation of 1.83, risk adjusted performance of 0.1659, and Mean Deviation of 1.6. Appfolio technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Appfolio jensen alpha, as well as the relationship between the potential upside and skewness to decide if Appfolio is priced correctly, providing market reflects its regular price of 250.85 per share. Given that Appfolio has jensen alpha of 0.356, we suggest you to validate Appfolio's prevailing market performance to make sure the company can sustain itself at a future point.
Appfolio Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Appfolio, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AppfolioAppfolio |
Appfolio Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 269.52 | Buy | 8 | Odds |
Most Appfolio analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Appfolio stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Appfolio, talking to its executives and customers, or listening to Appfolio conference calls.
Appfolio technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Appfolio Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Appfolio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Appfolio Trend Analysis
Use this graph to draw trend lines for Appfolio. You can use it to identify possible trend reversals for Appfolio as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Appfolio price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Appfolio Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Appfolio applied against its price change over selected period. The best fit line has a slop of 0.54 , which means Appfolio will continue generating value for investors. It has 122 observation points and a regression sum of squares at 11211.57, which is the sum of squared deviations for the predicted Appfolio price change compared to its average price change.About Appfolio Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Appfolio on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Appfolio based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Appfolio price pattern first instead of the macroeconomic environment surrounding Appfolio. By analyzing Appfolio's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Appfolio's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Appfolio specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 | 2025 (projected) | Graham Number | 18.22 | 3.77 | 3.4 | 6.66 | Receivables Turnover | 28.59 | 29.96 | 34.45 | 38.09 |
Appfolio January 29, 2025 Technical Indicators
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 different 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 |
| Risk Adjusted Performance | 0.1659 | |||
| Market Risk Adjusted Performance | 0.4963 | |||
| Mean Deviation | 1.6 | |||
| Semi Deviation | 1.53 | |||
| Downside Deviation | 1.83 | |||
| Coefficient Of Variation | 525.73 | |||
| Standard Deviation | 2.26 | |||
| Variance | 5.12 | |||
| Information Ratio | 0.1529 | |||
| Jensen Alpha | 0.356 | |||
| Total Risk Alpha | 0.2195 | |||
| Sortino Ratio | 0.1887 | |||
| Treynor Ratio | 0.4863 | |||
| Maximum Drawdown | 15.04 | |||
| Value At Risk | (3.87) | |||
| Potential Upside | 3.36 | |||
| Downside Variance | 3.36 | |||
| Semi Variance | 2.35 | |||
| Expected Short fall | (1.90) | |||
| Skewness | 1.14 | |||
| Kurtosis | 5.52 |
Complementary Tools for Appfolio Stock analysis
When running Appfolio's price analysis, check to measure Appfolio'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 Appfolio is operating at the current time. Most of Appfolio's value examination focuses on studying past and present price action to predict the probability of Appfolio's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Appfolio's price. Additionally, you may evaluate how the addition of Appfolio to your portfolios can decrease your overall portfolio volatility.
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