Kleangas Energy Stock Forecast - Naive Prediction

The Naive Prediction 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 2025. Net Loss is likely to drop to about (261.4 K) in 2025.
A naive forecasting model for Kleangas Energy is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Kleangas Energy 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.

Kleangas Energy Naive Prediction Price Forecast For the 15th of March 2025

Given 90 days horizon, the Naive Prediction 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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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 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
This model is not at all useful as a medium-long range forecasting tool of Kleangas Energy 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 Kleangas Energy. 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 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.
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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

Thematic Opportunities

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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.