Appfolio Stock Forecast - Simple Moving Average
| APPF Stock | USD 232.65 2.98 1.26% |
The Simple Moving Average forecasted value of Appfolio on the next trading day is expected to be 232.65 with a mean absolute deviation of 4.08 and the sum of the absolute errors of 240.63. Appfolio Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Appfolio's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 2nd of January 2026 the relative strength indicator of Appfolio's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.033 | EPS Estimate Next Quarter 1.3358 | EPS Estimate Current Year 5.1556 | EPS Estimate Next Year 6.4038 | Wall Street Target Price 311.8333 |
Using Appfolio hype-based prediction, you can estimate the value of Appfolio from the perspective of Appfolio response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Appfolio using Appfolio's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Appfolio using crowd psychology based on the activity and movement of Appfolio's stock price.
Appfolio Short Interest
A significant increase or decrease in Appfolio's short interest from the previous month could be a good indicator of investor sentiment towards Appfolio. Short interest can provide insight into the potential direction of Appfolio stock and how bullish or bearish investors feel about the market overall.
200 Day MA 240.9894 | Short Percent 0.0735 | Short Ratio 6.19 | Shares Short Prior Month 1.4 M | 50 Day MA 238.078 |
Appfolio Hype to Price Pattern
Investor biases related to Appfolio's public news can be used to forecast risks associated with an investment in Appfolio. The trend in average sentiment can be used to explain how an investor holding Appfolio can time the market purely based on public headlines and social activities around Appfolio. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Appfolio's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Appfolio.
Appfolio Implied Volatility | 0.49 |
Appfolio's implied volatility exposes the market's sentiment of Appfolio stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Appfolio's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Appfolio stock will not fluctuate a lot when Appfolio's options are near their expiration.
The Simple Moving Average forecasted value of Appfolio on the next trading day is expected to be 232.65 with a mean absolute deviation of 4.08 and the sum of the absolute errors of 240.63. Appfolio after-hype prediction price | USD 232.46 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Appfolio to cross-verify your projections. Open Interest Against 2026-02-20 Appfolio Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Appfolio's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Appfolio's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Appfolio stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Appfolio's open interest, investors have to compare it to Appfolio's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Appfolio is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Appfolio. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Appfolio Additional Predictive Modules
Most predictive techniques to examine Appfolio price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Appfolio using various technical 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 |
Appfolio Simple Moving Average Price Forecast For the 3rd of January
Given 90 days horizon, the Simple Moving Average forecasted value of Appfolio on the next trading day is expected to be 232.65 with a mean absolute deviation of 4.08, mean absolute percentage error of 32.55, and the sum of the absolute errors of 240.63.Please note that although there have been many attempts to predict Appfolio Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Appfolio's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Appfolio Stock Forecast Pattern
| Backtest Appfolio | Appfolio Price Prediction | Buy or Sell Advice |
Appfolio Forecasted Value
In the context of forecasting Appfolio's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Appfolio's downside and upside margins for the forecasting period are 230.63 and 234.67, respectively. We have considered Appfolio's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Appfolio stock data series using in forecasting. Note that when a statistical model is used to represent Appfolio stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 117.9175 |
| Bias | Arithmetic mean of the errors | 0.0921 |
| MAD | Mean absolute deviation | 4.0786 |
| MAPE | Mean absolute percentage error | 0.0171 |
| SAE | Sum of the absolute errors | 240.635 |
Predictive Modules for Appfolio
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Appfolio. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Appfolio
For every potential investor in Appfolio, whether a beginner or expert, Appfolio's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Appfolio Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Appfolio. Basic forecasting techniques help filter out the noise by identifying Appfolio's price trends.Appfolio Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Appfolio stock to make a market-neutral strategy. Peer analysis of Appfolio could also be used in its relative valuation, which is a method of valuing Appfolio by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Appfolio Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Appfolio's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Appfolio's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Appfolio Market Strength Events
Market strength indicators help investors to evaluate how Appfolio stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Appfolio shares will generate the highest return on investment. By undertsting and applying Appfolio stock market strength indicators, traders can identify Appfolio entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0149 | |||
| Daily Balance Of Power | (0.85) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 234.04 | |||
| Day Typical Price | 233.57 | |||
| Market Facilitation Index | 3.51 | |||
| Price Action Indicator | (2.87) | |||
| Period Momentum Indicator | (2.98) |
Appfolio Risk Indicators
The analysis of Appfolio's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Appfolio's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting appfolio stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.53 | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.76 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
When determining whether Appfolio is a strong investment it is important to analyze Appfolio's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Appfolio's future performance. For an informed investment choice regarding Appfolio Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Appfolio to cross-verify your projections. For more detail on how to invest in Appfolio Stock please use our How to Invest in Appfolio guide.You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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 0.033 | Earnings Share 5.56 | Revenue Per Share | Quarterly Revenue Growth 0.212 | Return On Assets |
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.