K Tech Stock Forecast - Simple Exponential Smoothing
| KMRK Stock | 1.30 0.03 2.36% |
The Simple Exponential Smoothing forecasted value of K Tech Solutions on the next trading day is expected to be 1.30 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.20. KMRK Stock Forecast is based on your current time horizon.
As of now the value of rsi of K Tech's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using K Tech hype-based prediction, you can estimate the value of K Tech Solutions from the perspective of K Tech response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of K Tech Solutions on the next trading day is expected to be 1.30 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.20. K Tech after-hype prediction price | USD 1.3 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of K Tech to cross-verify your projections. K Tech Additional Predictive Modules
Most predictive techniques to examine KMRK price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for KMRK using various technical indicators. When you analyze KMRK charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
K Tech Simple Exponential Smoothing Price Forecast For the 3rd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of K Tech Solutions on the next trading day is expected to be 1.30 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.20.Please note that although there have been many attempts to predict KMRK 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 K Tech's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
K Tech Stock Forecast Pattern
| Backtest K Tech | K Tech Price Prediction | Buy or Sell Advice |
K Tech Forecasted Value
In the context of forecasting K 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. K Tech's downside and upside margins for the forecasting period are 0.01 and 8.10, respectively. We have considered K 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of K Tech stock data series using in forecasting. Note that when a statistical model is used to represent K 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.| AIC | Akaike Information Criteria | 111.1791 |
| Bias | Arithmetic mean of the errors | 0.0016 |
| MAD | Mean absolute deviation | 0.0533 |
| MAPE | Mean absolute percentage error | 0.0454 |
| SAE | Sum of the absolute errors | 3.199 |
Predictive Modules for K 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 K Tech Solutions. 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.Other Forecasting Options for K Tech
For every potential investor in KMRK, whether a beginner or expert, K Tech's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KMRK Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KMRK. Basic forecasting techniques help filter out the noise by identifying K Tech's price trends.K 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 K Tech stock to make a market-neutral strategy. Peer analysis of K Tech could also be used in its relative valuation, which is a method of valuing K Tech by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
K Tech Solutions 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 K 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 K Tech's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
K Tech Market Strength Events
Market strength indicators help investors to evaluate how K 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 K Tech shares will generate the highest return on investment. By undertsting and applying K Tech stock market strength indicators, traders can identify K Tech Solutions entry and exit signals to maximize returns.
K Tech Risk Indicators
The analysis of K 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 K Tech's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kmrk 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 | 4.48 | |||
| Semi Deviation | 5.67 | |||
| Standard Deviation | 6.75 | |||
| Variance | 45.55 | |||
| Downside Variance | 38.9 | |||
| Semi Variance | 32.13 | |||
| Expected Short fall | (5.33) |
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 ProphetCheck out Historical Fundamental Analysis of K Tech to cross-verify your projections. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Is Stock space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of K Tech. If investors know KMRK will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about K Tech listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of K Tech Solutions is measured differently than its book value, which is the value of KMRK that is recorded on the company's balance sheet. Investors also form their own opinion of K Tech's value that differs from its market value or its book value, called intrinsic value, which is K Tech's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because K Tech's market value can be influenced by many factors that don't directly affect K Tech's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between K Tech's value and its price as these two are different measures arrived at by different means. Investors typically determine if K Tech is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, K Tech's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.