Wells Fargo Stock Forecast - Simple Exponential Smoothing

WFC Stock  MXN 1,550  3.95  0.26%   
The Simple Exponential Smoothing forecasted value of Wells Fargo on the next trading day is expected to be 1,550 with a mean absolute deviation of 21.83 and the sum of the absolute errors of 1,310. Wells Stock Forecast is based on your current time horizon.
  
Wells Fargo simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Wells Fargo are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Wells Fargo prices get older.

Wells Fargo Simple Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Wells Fargo on the next trading day is expected to be 1,550 with a mean absolute deviation of 21.83, mean absolute percentage error of 1,338, and the sum of the absolute errors of 1,310.
Please note that although there have been many attempts to predict Wells 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 Wells Fargo's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Wells Fargo Stock Forecast Pattern

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Wells Fargo Forecasted Value

In the context of forecasting Wells Fargo'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. Wells Fargo's downside and upside margins for the forecasting period are 1,547 and 1,552, respectively. We have considered Wells Fargo'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
1,550
1,550
Expected Value
1,552
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Wells Fargo stock data series using in forecasting. Note that when a statistical model is used to represent Wells Fargo 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 Criteria123.4717
BiasArithmetic mean of the errors -8.8282
MADMean absolute deviation21.8309
MAPEMean absolute percentage error0.0178
SAESum of the absolute errors1309.8568
This simple exponential smoothing model begins by setting Wells Fargo forecast for the second period equal to the observation of the first period. In other words, recent Wells Fargo observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Wells Fargo

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wells Fargo. 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
1,5471,5501,553
Details
Intrinsic
Valuation
LowRealHigh
1,4081,4111,705
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,5451,5491,552
Details

Other Forecasting Options for Wells Fargo

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

Wells Fargo 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 Wells Fargo stock to make a market-neutral strategy. Peer analysis of Wells Fargo could also be used in its relative valuation, which is a method of valuing Wells Fargo by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Wells Fargo 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 Wells Fargo'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 Wells Fargo's current price.

Wells Fargo Market Strength Events

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

Wells Fargo Risk Indicators

The analysis of Wells Fargo'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 Wells Fargo's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wells 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Wells Stock Analysis

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