SS TECH Stock Forecast - Naive Prediction

101490 Stock  KRW 22,450  400.00  1.75%   
The Naive Prediction forecasted value of SS TECH on the next trading day is expected to be 22,847 with a mean absolute deviation of 629.29 and the sum of the absolute errors of 38,387. 101490 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SS TECH stock prices and determine the direction of SS TECH's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SS TECH's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for SS TECH is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SS TECH value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

SS TECH Naive Prediction Price Forecast For the 3rd of December

Given 90 days horizon, the Naive Prediction forecasted value of SS TECH on the next trading day is expected to be 22,847 with a mean absolute deviation of 629.29, mean absolute percentage error of 597,865, and the sum of the absolute errors of 38,387.
Please note that although there have been many attempts to predict 101490 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 SS TECH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SS TECH Stock Forecast Pattern

Backtest SS TECHSS TECH Price PredictionBuy or Sell Advice 

SS TECH Forecasted Value

In the context of forecasting SS TECH'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. SS TECH's downside and upside margins for the forecasting period are 22,844 and 22,850, respectively. We have considered SS TECH'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.
Market Value
22,450
22,844
Downside
22,847
Expected Value
22,850
Upside

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 SS TECH stock data series using in forecasting. Note that when a statistical model is used to represent SS TECH 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.
AICAkaike Information Criteria131.4116
BiasArithmetic mean of the errors None
MADMean absolute deviation629.2925
MAPEMean absolute percentage error0.0274
SAESum of the absolute errors38386.8396
This model is not at all useful as a medium-long range forecasting tool of SS TECH. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict SS TECH. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for SS TECH

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SS TECH. 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.
Hype
Prediction
LowEstimatedHigh
22,44722,45022,453
Details
Intrinsic
Valuation
LowRealHigh
19,01519,01824,695
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19,81622,14424,472
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SS TECH. Your research has to be compared to or analyzed against SS TECH's peers to derive any actionable benefits. When done correctly, SS TECH's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SS TECH.

Other Forecasting Options for SS TECH

For every potential investor in 101490, whether a beginner or expert, SS TECH's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 101490 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 101490. Basic forecasting techniques help filter out the noise by identifying SS TECH's price trends.

SS TECH 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 SS TECH stock to make a market-neutral strategy. Peer analysis of SS TECH could also be used in its relative valuation, which is a method of valuing SS TECH by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SS TECH 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 SS TECH'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 SS TECH's current price.

SS TECH Market Strength Events

Market strength indicators help investors to evaluate how SS TECH stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SS TECH shares will generate the highest return on investment. By undertsting and applying SS TECH stock market strength indicators, traders can identify SS TECH entry and exit signals to maximize returns.

SS TECH Risk Indicators

The analysis of SS TECH'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 SS TECH's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 101490 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.
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.

Other Information on Investing in 101490 Stock

SS TECH financial ratios help investors to determine whether 101490 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 101490 with respect to the benefits of owning SS TECH security.