Kleangas Energy Stock Forecast - 4 Period Moving Average

The 4 Period Moving Average forecasted value of Kleangas Energy Tech on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Kleangas Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to drop to 0.50 in 2024. Net Loss is likely to drop to about (261.4 K) in 2024.
A four-period moving average forecast model for Kleangas Energy Tech is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Kleangas Energy 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Kleangas Energy Tech on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Kleangas 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 Kleangas Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kleangas Energy Stock Forecast Pattern

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Kleangas Energy Forecasted Value

In the context of forecasting Kleangas Energy'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. Kleangas Energy's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered Kleangas Energy'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
0.00
0.00
Expected Value
0.00
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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Kleangas Energy stock data series using in forecasting. Note that when a statistical model is used to represent Kleangas Energy 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Kleangas Energy. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Kleangas Energy Tech and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Kleangas Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kleangas Energy 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kleangas Energy'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
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LowEstimatedHigh
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Intrinsic
Valuation
LowRealHigh
0.000.000.00
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Other Forecasting Options for Kleangas Energy

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

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

Kleangas Energy 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 Kleangas Energy'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 Kleangas Energy's current price.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Kleangas Stock Analysis

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