CUE Energy Stock Forecast - 20 Period Moving Average

CUE Stock   0.09  0.01  5.88%   
The 20 Period Moving Average forecasted value of CUE Energy Resources on the next trading day is expected to be 0.1 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.24. CUE Stock Forecast is based on your current time horizon.
  
At this time, CUE Energy's Other Stockholder Equity is comparatively stable compared to the past year. Total Current Assets is likely to gain to about 29.8 M in 2024, despite the fact that Other Current Liabilities is likely to grow to (2.7 M).
A commonly used 20-period moving average forecast model for CUE Energy Resources is based on a synthetically constructed CUE Energydaily 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.

CUE Energy 20 Period Moving Average Price Forecast For the 1st of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of CUE Energy Resources on the next trading day is expected to be 0.1 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000055, and the sum of the absolute errors of 0.24.
Please note that although there have been many attempts to predict CUE 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 CUE Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CUE Energy Stock Forecast Pattern

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CUE Energy Forecasted Value

In the context of forecasting CUE 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. CUE Energy's downside and upside margins for the forecasting period are 0.0009 and 5.37, respectively. We have considered CUE 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
0.09
0.0009
Downside
0.1
Expected Value
5.37
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 CUE Energy stock data series using in forecasting. Note that when a statistical model is used to represent CUE 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 Criteria71.5481
BiasArithmetic mean of the errors 6.0E-4
MADMean absolute deviation0.0059
MAPEMean absolute percentage error0.0592
SAESum of the absolute errors0.2408
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. CUE Energy Resources 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for CUE 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 CUE Energy Resources. 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
0.000.095.36
Details
Intrinsic
Valuation
LowRealHigh
0.000.085.35
Details

Other Forecasting Options for CUE Energy

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

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

CUE Energy Resources 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 CUE 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 CUE Energy's current price.

CUE Energy Market Strength Events

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

CUE Energy Risk Indicators

The analysis of CUE Energy'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 CUE Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cue 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.

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 CUE Stock Analysis

When running CUE Energy's price analysis, check to measure CUE 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 CUE Energy is operating at the current time. Most of CUE Energy's value examination focuses on studying past and present price action to predict the probability of CUE 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 CUE Energy's price. Additionally, you may evaluate how the addition of CUE Energy to your portfolios can decrease your overall portfolio volatility.