Zuger Kantonalbank Stock Forecast - Simple Moving Average
| ZUGER Stock | CHF 8,160 40.00 0.49% |
The Simple Moving Average forecasted value of Zuger Kantonalbank on the next trading day is expected to be 8,160 with a mean absolute deviation of 25.93 and the sum of the absolute errors of 1,530. Zuger Stock Forecast is based on your current time horizon.
Zuger |
Zuger Kantonalbank Simple Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the Simple Moving Average forecasted value of Zuger Kantonalbank on the next trading day is expected to be 8,160 with a mean absolute deviation of 25.93, mean absolute percentage error of 1,164, and the sum of the absolute errors of 1,530.Please note that although there have been many attempts to predict Zuger 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 Zuger Kantonalbank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Zuger Kantonalbank Stock Forecast Pattern
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Zuger Kantonalbank Forecasted Value
In the context of forecasting Zuger Kantonalbank'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. Zuger Kantonalbank's downside and upside margins for the forecasting period are 8,160 and 8,160, respectively. We have considered Zuger Kantonalbank'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 Zuger Kantonalbank stock data series using in forecasting. Note that when a statistical model is used to represent Zuger Kantonalbank 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 | 121.4947 |
| Bias | Arithmetic mean of the errors | 5.2542 |
| MAD | Mean absolute deviation | 25.9322 |
| MAPE | Mean absolute percentage error | 0.0031 |
| SAE | Sum of the absolute errors | 1530.0 |
Predictive Modules for Zuger Kantonalbank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Zuger Kantonalbank. 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 Zuger Kantonalbank
For every potential investor in Zuger, whether a beginner or expert, Zuger Kantonalbank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Zuger Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Zuger. Basic forecasting techniques help filter out the noise by identifying Zuger Kantonalbank's price trends.Zuger Kantonalbank 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 Zuger Kantonalbank stock to make a market-neutral strategy. Peer analysis of Zuger Kantonalbank could also be used in its relative valuation, which is a method of valuing Zuger Kantonalbank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Zuger Kantonalbank 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 Zuger Kantonalbank'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 Zuger Kantonalbank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
Zuger Kantonalbank Market Strength Events
Market strength indicators help investors to evaluate how Zuger Kantonalbank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Zuger Kantonalbank shares will generate the highest return on investment. By undertsting and applying Zuger Kantonalbank stock market strength indicators, traders can identify Zuger Kantonalbank entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0146 | |||
| Daily Balance Of Power | (0.33) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8140.0 | |||
| Day Typical Price | 8146.67 | |||
| Market Facilitation Index | 120.0 | |||
| Period Momentum Indicator | (40.00) |
Zuger Kantonalbank Risk Indicators
The analysis of Zuger Kantonalbank'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 Zuger Kantonalbank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zuger 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 | 0.3578 | |||
| Standard Deviation | 0.4785 | |||
| Variance | 0.2289 |
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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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 Zuger Stock Analysis
When running Zuger Kantonalbank's price analysis, check to measure Zuger Kantonalbank'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 Zuger Kantonalbank is operating at the current time. Most of Zuger Kantonalbank's value examination focuses on studying past and present price action to predict the probability of Zuger Kantonalbank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zuger Kantonalbank's price. Additionally, you may evaluate how the addition of Zuger Kantonalbank to your portfolios can decrease your overall portfolio volatility.