Viatron Technologies Stock Forecast - Simple Moving Average
| 141000 Stock | KRW 8,610 90.00 1.03% |
The Simple Moving Average forecasted value of Viatron Technologies on the next trading day is expected to be 8,610 with a mean absolute deviation of 97.80 and the sum of the absolute errors of 5,770. Viatron Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Viatron Technologies stock prices and determine the direction of Viatron Technologies's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Viatron Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Viatron Technologies to cross-verify your projections. Viatron |
Most investors in Viatron Technologies 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 Viatron Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Viatron Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Viatron Technologies 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. Viatron Technologies Simple Moving Average Price Forecast For the 24th of May
Given 90 days horizon, the Simple Moving Average forecasted value of Viatron Technologies on the next trading day is expected to be 8,610 with a mean absolute deviation of 97.80, mean absolute percentage error of 15,195, and the sum of the absolute errors of 5,770.Please note that although there have been many attempts to predict Viatron 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 Viatron Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Viatron Technologies Stock Forecast Pattern
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Viatron Technologies Forecasted Value
In the context of forecasting Viatron Technologies' 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. Viatron Technologies' downside and upside margins for the forecasting period are 8,609 and 8,611, respectively. We have considered Viatron Technologies' 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 Viatron Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Viatron Technologies 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 | 124.0635 |
| Bias | Arithmetic mean of the errors | -5.4237 |
| MAD | Mean absolute deviation | 97.7966 |
| MAPE | Mean absolute percentage error | 0.0115 |
| SAE | Sum of the absolute errors | 5770.0 |
Predictive Modules for Viatron Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Viatron Technologies. 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 Viatron Technologies' 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 Viatron Technologies
For every potential investor in Viatron, whether a beginner or expert, Viatron Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Viatron Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Viatron. Basic forecasting techniques help filter out the noise by identifying Viatron Technologies' price trends.Viatron Technologies 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 Viatron Technologies stock to make a market-neutral strategy. Peer analysis of Viatron Technologies could also be used in its relative valuation, which is a method of valuing Viatron Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Viatron Technologies 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 Viatron Technologies' 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 Viatron Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Viatron Technologies Market Strength Events
Market strength indicators help investors to evaluate how Viatron Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Viatron Technologies shares will generate the highest return on investment. By undertsting and applying Viatron Technologies stock market strength indicators, traders can identify Viatron Technologies entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0104 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 8625.0 | |||
| Day Typical Price | 8620.0 | |||
| Market Facilitation Index | 90.0 | |||
| Price Action Indicator | (60.00) | |||
| Period Momentum Indicator | (90.00) | |||
| Relative Strength Index | 50.35 |
Viatron Technologies Risk Indicators
The analysis of Viatron Technologies' 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 Viatron Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting viatron 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 | 0.9172 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.73 | |||
| Downside Variance | 1.6 | |||
| Semi Variance | 1.24 | |||
| Expected Short fall | (1.14) |
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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Complementary Tools for Viatron Stock analysis
When running Viatron Technologies' price analysis, check to measure Viatron Technologies' 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 Viatron Technologies is operating at the current time. Most of Viatron Technologies' value examination focuses on studying past and present price action to predict the probability of Viatron Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Viatron Technologies' price. Additionally, you may evaluate how the addition of Viatron Technologies to your portfolios can decrease your overall portfolio volatility.
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