Vieworks Stock Forecast - Double Exponential Smoothing
| 100120 Stock | KRW 28,800 250.00 0.88% |
The Double Exponential Smoothing forecasted value of Vieworks Co on the next trading day is expected to be 28,884 with a mean absolute deviation of 258.10 and the sum of the absolute errors of 15,228. Vieworks Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Vieworks stock prices and determine the direction of Vieworks Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Vieworks' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Vieworks to cross-verify your projections. Vieworks |
Most investors in Vieworks cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Vieworks' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Vieworks' price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Vieworks works best with periods where there are trends or seasonality. Vieworks Double Exponential Smoothing Price Forecast For the 19th of May
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Vieworks Co on the next trading day is expected to be 28,884 with a mean absolute deviation of 258.10, mean absolute percentage error of 108,244, and the sum of the absolute errors of 15,228.Please note that although there have been many attempts to predict Vieworks 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 Vieworks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Vieworks Stock Forecast Pattern
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Vieworks Forecasted Value
In the context of forecasting Vieworks' 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. Vieworks' downside and upside margins for the forecasting period are 28,883 and 28,885, respectively. We have considered Vieworks' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Vieworks stock data series using in forecasting. Note that when a statistical model is used to represent Vieworks 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 | Huge |
| Bias | Arithmetic mean of the errors | -57.929 |
| MAD | Mean absolute deviation | 258.0952 |
| MAPE | Mean absolute percentage error | 0.0092 |
| SAE | Sum of the absolute errors | 15227.6172 |
Predictive Modules for Vieworks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vieworks. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vieworks' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Vieworks
For every potential investor in Vieworks, whether a beginner or expert, Vieworks' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vieworks Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vieworks. Basic forecasting techniques help filter out the noise by identifying Vieworks' price trends.Vieworks 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 Vieworks stock to make a market-neutral strategy. Peer analysis of Vieworks could also be used in its relative valuation, which is a method of valuing Vieworks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Vieworks 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 Vieworks' 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 Vieworks' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Vieworks Market Strength Events
Market strength indicators help investors to evaluate how Vieworks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vieworks shares will generate the highest return on investment. By undertsting and applying Vieworks stock market strength indicators, traders can identify Vieworks Co entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0138 | |||
| Daily Balance Of Power | 0.625 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 28800.0 | |||
| Day Typical Price | 28800.0 | |||
| Market Facilitation Index | 400.0 | |||
| Price Action Indicator | 125.0 | |||
| Period Momentum Indicator | 250.0 |
Vieworks Risk Indicators
The analysis of Vieworks' 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 Vieworks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vieworks 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 | 0.8959 | |||
| Semi Deviation | 0.9564 | |||
| Standard Deviation | 1.12 | |||
| Variance | 1.24 | |||
| Downside Variance | 1.15 | |||
| Semi Variance | 0.9146 | |||
| Expected Short fall | (1.05) |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Vieworks to cross-verify your projections. Note that the Vieworks information on this page should be used as a complementary analysis to other Vieworks' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Complementary Tools for Vieworks Stock analysis
When running Vieworks' price analysis, check to measure Vieworks' 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 Vieworks is operating at the current time. Most of Vieworks' value examination focuses on studying past and present price action to predict the probability of Vieworks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vieworks' price. Additionally, you may evaluate how the addition of Vieworks to your portfolios can decrease your overall portfolio volatility.
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