Baloise Swiss Fund Forecast - Naive Prediction
| BALSP Fund | 148.40 0.20 0.13% |
Momentum 73
Buy Stretched
Oversold | Overbought |
Using Baloise Swiss hype-based prediction, you can estimate the value of Baloise Swiss Property from the perspective of Baloise Swiss response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Baloise Swiss Property on the next trading day is expected to be 150.56 with a mean absolute deviation of 0.99 and the sum of the absolute errors of 61.45. Baloise Swiss after-hype prediction price | CHF 148.4 |
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Baloise |
Baloise Swiss Additional Predictive Modules
Most predictive techniques to examine Baloise price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Baloise using various technical indicators. When you analyze Baloise 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 |
Baloise Swiss Naive Prediction Price Forecast For the 7th of January
Given 90 days horizon, the Naive Prediction forecasted value of Baloise Swiss Property on the next trading day is expected to be 150.56 with a mean absolute deviation of 0.99, mean absolute percentage error of 1.70, and the sum of the absolute errors of 61.45.Please note that although there have been many attempts to predict Baloise Fund 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 Baloise Swiss' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Baloise Swiss Fund Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Baloise Swiss fund data series using in forecasting. Note that when a statistical model is used to represent Baloise Swiss fund, 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 | 120.4779 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9912 |
| MAPE | Mean absolute percentage error | 0.007 |
| SAE | Sum of the absolute errors | 61.4524 |
Predictive Modules for Baloise Swiss
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baloise Swiss Property. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.Baloise Swiss 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 Baloise Swiss fund to make a market-neutral strategy. Peer analysis of Baloise Swiss could also be used in its relative valuation, which is a method of valuing Baloise Swiss by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Baloise Swiss Market Strength Events
Market strength indicators help investors to evaluate how Baloise Swiss fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Baloise Swiss shares will generate the highest return on investment. By undertsting and applying Baloise Swiss fund market strength indicators, traders can identify Baloise Swiss Property entry and exit signals to maximize returns.
Baloise Swiss Risk Indicators
The analysis of Baloise Swiss' 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 Baloise Swiss' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting baloise fund 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 | 0.5245 | |||
| Semi Deviation | 0.5168 | |||
| Standard Deviation | 0.6904 | |||
| Variance | 0.4767 | |||
| Downside Variance | 0.5094 | |||
| Semi Variance | 0.267 | |||
| Expected Short fall | (0.61) |
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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