Santander Bank Stock Forecast - Simple Moving Average

BZI Stock  EUR 101.60  0.40  0.39%   
The Simple Moving Average forecasted value of Santander Bank Polska on the next trading day is expected to be 101.60 with a mean absolute deviation of 1.95 and the sum of the absolute errors of 117.23. Santander Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Santander Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for Santander Bank 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.

Santander Bank Simple Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Santander Bank Polska on the next trading day is expected to be 101.60 with a mean absolute deviation of 1.95, mean absolute percentage error of 7.18, and the sum of the absolute errors of 117.23.
Please note that although there have been many attempts to predict Santander 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 Santander Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Santander Bank Stock Forecast Pattern

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Santander Bank Forecasted Value

In the context of forecasting Santander Bank'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. Santander Bank's downside and upside margins for the forecasting period are 99.07 and 104.13, respectively. We have considered Santander Bank'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
101.60
101.60
Expected Value
104.13
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 Santander Bank stock data series using in forecasting. Note that when a statistical model is used to represent Santander Bank 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 Criteria118.2435
BiasArithmetic mean of the errors 0.4775
MADMean absolute deviation1.9538
MAPEMean absolute percentage error0.0183
SAESum of the absolute errors117.23
The simple moving average model is conceptually a linear regression of the current value of Santander Bank Polska price series against current and previous (unobserved) value of Santander Bank. 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 Santander Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Santander Bank Polska. 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
99.09101.60104.11
Details
Intrinsic
Valuation
LowRealHigh
92.7995.30111.76
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.98104.95111.92
Details

Other Forecasting Options for Santander Bank

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

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

Santander Bank Polska 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 Santander Bank'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 Santander Bank's current price.

Santander Bank Market Strength Events

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

Santander Bank Risk Indicators

The analysis of Santander Bank'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 Santander Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting santander 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.

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Other Information on Investing in Santander Stock

Santander Bank financial ratios help investors to determine whether Santander Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Santander with respect to the benefits of owning Santander Bank security.