WSFS Financial Stock Forecast - Simple Moving Average

WSFS Stock  USD 59.09  0.27  0.46%   
The Simple Moving Average forecasted value of WSFS Financial on the next trading day is expected to be 59.09 with a mean absolute deviation of 0.87 and the sum of the absolute errors of 52.36. WSFS Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to gain to 4.61 in 2024, whereas Payables Turnover is likely to drop (6.87) in 2024. . Net Income Applicable To Common Shares is likely to gain to about 268.5 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 32.5 M in 2024.
A two period moving average forecast for WSFS Financial is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

WSFS Financial Simple Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Moving Average forecasted value of WSFS Financial on the next trading day is expected to be 59.09 with a mean absolute deviation of 0.87, mean absolute percentage error of 2.16, and the sum of the absolute errors of 52.36.
Please note that although there have been many attempts to predict WSFS 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 WSFS Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

WSFS Financial Stock Forecast Pattern

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WSFS Financial Forecasted Value

In the context of forecasting WSFS Financial'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. WSFS Financial's downside and upside margins for the forecasting period are 56.49 and 61.69, respectively. We have considered WSFS Financial'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.
Market Value
59.09
59.09
Expected Value
61.69
Upside

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 WSFS Financial stock data series using in forecasting. Note that when a statistical model is used to represent WSFS Financial 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.
AICAkaike Information Criteria117.0406
BiasArithmetic mean of the errors -0.1636
MADMean absolute deviation0.8727
MAPEMean absolute percentage error0.0161
SAESum of the absolute errors52.365
The simple moving average model is conceptually a linear regression of the current value of WSFS Financial price series against current and previous (unobserved) value of WSFS Financial. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for WSFS Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WSFS Financial. 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.
Hype
Prediction
LowEstimatedHigh
57.5360.1262.71
Details
Intrinsic
Valuation
LowRealHigh
48.3050.8965.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
58.3359.7061.07
Details
5 Analysts
Consensus
LowTargetHigh
40.5944.6049.51
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as WSFS Financial. Your research has to be compared to or analyzed against WSFS Financial's peers to derive any actionable benefits. When done correctly, WSFS Financial's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in WSFS Financial.

Other Forecasting Options for WSFS Financial

For every potential investor in WSFS, whether a beginner or expert, WSFS Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. WSFS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in WSFS. Basic forecasting techniques help filter out the noise by identifying WSFS Financial's price trends.

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 Risk & Return  Correlation

WSFS Financial 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 WSFS Financial'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 WSFS Financial's current price.

WSFS Financial Market Strength Events

Market strength indicators help investors to evaluate how WSFS Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading WSFS Financial shares will generate the highest return on investment. By undertsting and applying WSFS Financial stock market strength indicators, traders can identify WSFS Financial entry and exit signals to maximize returns.

WSFS Financial Risk Indicators

The analysis of WSFS Financial'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 WSFS Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wsfs 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.
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.

Thematic Opportunities

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Additional Tools for WSFS Stock Analysis

When running WSFS Financial's price analysis, check to measure WSFS Financial'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 WSFS Financial is operating at the current time. Most of WSFS Financial's value examination focuses on studying past and present price action to predict the probability of WSFS Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WSFS Financial's price. Additionally, you may evaluate how the addition of WSFS Financial to your portfolios can decrease your overall portfolio volatility.