KTBST Mixed Stock Forecast - Simple Moving Average

KTBSTMR Stock   6.50  0.03  0.46%   
The Simple Moving Average forecasted value of KTBST Mixed Leasehold on the next trading day is expected to be 6.50 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.78. KTBST Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for KTBST Mixed 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.

KTBST Mixed Simple Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the Simple Moving Average forecasted value of KTBST Mixed Leasehold on the next trading day is expected to be 6.50 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.78.
Please note that although there have been many attempts to predict KTBST 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 KTBST Mixed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KTBST Mixed Stock Forecast Pattern

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KTBST Mixed Forecasted Value

In the context of forecasting KTBST Mixed'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. KTBST Mixed's downside and upside margins for the forecasting period are 5.42 and 7.58, respectively. We have considered KTBST Mixed'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
6.50
6.50
Expected Value
7.58
Upside

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 KTBST Mixed stock data series using in forecasting. Note that when a statistical model is used to represent KTBST Mixed 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 Criteria108.862
BiasArithmetic mean of the errors -0.001
MADMean absolute deviation0.0471
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors2.78
The simple moving average model is conceptually a linear regression of the current value of KTBST Mixed Leasehold price series against current and previous (unobserved) value of KTBST Mixed. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for KTBST Mixed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KTBST Mixed Leasehold. 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 KTBST Mixed's 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.
Hype
Prediction
LowEstimatedHigh
5.416.507.59
Details
Intrinsic
Valuation
LowRealHigh
5.406.497.58
Details

Other Forecasting Options for KTBST Mixed

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

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

KTBST Mixed Leasehold 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 KTBST Mixed'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 KTBST Mixed's current price.

KTBST Mixed Market Strength Events

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

KTBST Mixed Risk Indicators

The analysis of KTBST Mixed'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 KTBST Mixed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ktbst 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.

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Additional Tools for KTBST Stock Analysis

When running KTBST Mixed's price analysis, check to measure KTBST Mixed's 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 KTBST Mixed is operating at the current time. Most of KTBST Mixed's value examination focuses on studying past and present price action to predict the probability of KTBST Mixed's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move KTBST Mixed's price. Additionally, you may evaluate how the addition of KTBST Mixed to your portfolios can decrease your overall portfolio volatility.