K2A Knaust Stock Forecast - Simple Moving Average
| K2A-PREF | SEK 183.00 1.00 0.54% |
The Simple Moving Average forecasted value of K2A Knaust Andersson on the next trading day is expected to be 183.00 with a mean absolute deviation of 2.86 and the sum of the absolute errors of 168.81. K2A Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast K2A Knaust stock prices and determine the direction of K2A Knaust Andersson's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of K2A Knaust's historical fundamentals, such as revenue growth or operating cash flow patterns.
K2A |
K2A Knaust Simple Moving Average Price Forecast For the 26th of November
Given 90 days horizon, the Simple Moving Average forecasted value of K2A Knaust Andersson on the next trading day is expected to be 183.00 with a mean absolute deviation of 2.86, mean absolute percentage error of 19.94, and the sum of the absolute errors of 168.81.Please note that although there have been many attempts to predict K2A 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 K2A Knaust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
K2A Knaust Stock Forecast Pattern
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K2A Knaust Forecasted Value
In the context of forecasting K2A Knaust'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. K2A Knaust's downside and upside margins for the forecasting period are 180.81 and 185.19, respectively. We have considered K2A Knaust'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 K2A Knaust stock data series using in forecasting. Note that when a statistical model is used to represent K2A Knaust 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 | 117.4272 |
| Bias | Arithmetic mean of the errors | -0.663 |
| MAD | Mean absolute deviation | 2.8613 |
| MAPE | Mean absolute percentage error | 0.0154 |
| SAE | Sum of the absolute errors | 168.815 |
Predictive Modules for K2A Knaust
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as K2A Knaust Andersson. 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 K2A Knaust
For every potential investor in K2A, whether a beginner or expert, K2A Knaust's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. K2A Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in K2A. Basic forecasting techniques help filter out the noise by identifying K2A Knaust's price trends.K2A Knaust 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 K2A Knaust stock to make a market-neutral strategy. Peer analysis of K2A Knaust could also be used in its relative valuation, which is a method of valuing K2A Knaust by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
K2A Knaust Andersson 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 K2A Knaust'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 K2A Knaust's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
K2A Knaust Market Strength Events
Market strength indicators help investors to evaluate how K2A Knaust stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading K2A Knaust shares will generate the highest return on investment. By undertsting and applying K2A Knaust stock market strength indicators, traders can identify K2A Knaust Andersson entry and exit signals to maximize returns.
K2A Knaust Risk Indicators
The analysis of K2A Knaust'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 K2A Knaust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting k2a 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 | 1.57 | |||
| Semi Deviation | 1.13 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.26 | |||
| Downside Variance | 2.09 | |||
| Semi Variance | 1.27 | |||
| Expected Short fall | (2.10) |
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 K2A Stock
K2A Knaust financial ratios help investors to determine whether K2A 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 K2A with respect to the benefits of owning K2A Knaust security.