KG Eco Stock Forecast - 20 Period Moving Average

151860 Stock  KRW 5,260  10.00  0.19%   
The 20 Period Moving Average forecasted value of KG Eco Technology on the next trading day is expected to be 5,077 with a mean absolute deviation of 226.94 and the sum of the absolute errors of 9,304. 151860 Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast KG Eco stock prices and determine the direction of KG Eco Technology's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of KG Eco's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for KG Eco Technology is based on a synthetically constructed KG Ecodaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

KG Eco 20 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of KG Eco Technology on the next trading day is expected to be 5,077 with a mean absolute deviation of 226.94, mean absolute percentage error of 73,964, and the sum of the absolute errors of 9,304.
Please note that although there have been many attempts to predict 151860 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 KG Eco's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KG Eco Stock Forecast Pattern

Backtest KG EcoKG Eco Price PredictionBuy or Sell Advice 

KG Eco Forecasted Value

In the context of forecasting KG Eco'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. KG Eco's downside and upside margins for the forecasting period are 5,074 and 5,080, respectively. We have considered KG Eco'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
5,260
5,077
Expected Value
5,080
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of KG Eco stock data series using in forecasting. Note that when a statistical model is used to represent KG Eco 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 Criteria92.5643
BiasArithmetic mean of the errors 160.7195
MADMean absolute deviation226.939
MAPEMean absolute percentage error0.0439
SAESum of the absolute errors9304.5
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. KG Eco Technology 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for KG Eco

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KG Eco Technology. 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
5,2575,2605,263
Details
Intrinsic
Valuation
LowRealHigh
4,4364,4395,786
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5,2475,2575,266
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as KG Eco. Your research has to be compared to or analyzed against KG Eco's peers to derive any actionable benefits. When done correctly, KG Eco'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 KG Eco Technology.

Other Forecasting Options for KG Eco

For every potential investor in 151860, whether a beginner or expert, KG Eco's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 151860 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 151860. Basic forecasting techniques help filter out the noise by identifying KG Eco's price trends.

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

KG Eco Technology 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 KG Eco'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 KG Eco's current price.

KG Eco Market Strength Events

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

KG Eco Risk Indicators

The analysis of KG Eco'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 KG Eco's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 151860 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.

Pair Trading with KG Eco

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if KG Eco position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in KG Eco will appreciate offsetting losses from the drop in the long position's value.

Moving together with 151860 Stock

  0.87005930 Samsung ElectronicsPairCorr
  0.86005935 Samsung ElectronicsPairCorr
  0.66005385 Hyundai MotorPairCorr
  0.85005380 Hyundai MotorPairCorr

Moving against 151860 Stock

  0.56024110 Industrial BankPairCorr
  0.56105560 KB Financial GroupPairCorr
  0.44373220 LG Energy SolutionPairCorr
The ability to find closely correlated positions to KG Eco could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KG Eco when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back KG Eco - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling KG Eco Technology to buy it.
The correlation of KG Eco is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as KG Eco moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KG Eco Technology moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for KG Eco can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in 151860 Stock

KG Eco financial ratios help investors to determine whether 151860 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 151860 with respect to the benefits of owning KG Eco security.