Indonesia Energy Stock Forecast - 8 Period Moving Average
| INDO Stock | USD 4.08 0.29 7.65% |
The 8 Period Moving Average forecasted value of Indonesia Energy on the next trading day is expected to be 4.16 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 12.72. Indonesia Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Indonesia Energy stock prices and determine the direction of Indonesia Energy's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Indonesia Energy's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Indonesia Energy's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Indonesia Energy's systematic risk associated with finding meaningful patterns of Indonesia Energy fundamentals over time.
Check out Historical Fundamental Analysis of Indonesia Energy to cross-verify your projections. Indonesia |
Most investors in Indonesia Energy cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Indonesia Energy's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Indonesia Energy's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Indonesia Energy is based on an artificially constructed time series of Indonesia Energy daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Indonesia Energy 8 Period Moving Average Price Forecast For the 20th of April
Given 90 days horizon, the 8 Period Moving Average forecasted value of Indonesia Energy on the next trading day is expected to be 4.16 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.32, and the sum of the absolute errors of 12.72.Please note that although there have been many attempts to predict Indonesia 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 Indonesia Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Indonesia Energy Stock Forecast Pattern
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Indonesia Energy Forecasted Value
In the context of forecasting Indonesia 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. Indonesia Energy's downside and upside margins for the forecasting period are 0.04 and 16.43, respectively. We have considered Indonesia 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Indonesia Energy stock data series using in forecasting. Note that when a statistical model is used to represent Indonesia 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.| AIC | Akaike Information Criteria | 102.2782 |
| Bias | Arithmetic mean of the errors | -0.1454 |
| MAD | Mean absolute deviation | 0.24 |
| MAPE | Mean absolute percentage error | 0.0682 |
| SAE | Sum of the absolute errors | 12.7225 |
Predictive Modules for Indonesia 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 Indonesia Energy. 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 Indonesia 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.
Other Forecasting Options for Indonesia Energy
For every potential investor in Indonesia, whether a beginner or expert, Indonesia Energy's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Indonesia Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Indonesia. Basic forecasting techniques help filter out the noise by identifying Indonesia Energy's price trends.Indonesia 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 Indonesia Energy stock to make a market-neutral strategy. Peer analysis of Indonesia Energy could also be used in its relative valuation, which is a method of valuing Indonesia Energy by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Indonesia Energy 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 Indonesia 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 Indonesia Energy's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Indonesia Energy Market Strength Events
Market strength indicators help investors to evaluate how Indonesia 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 Indonesia Energy shares will generate the highest return on investment. By undertsting and applying Indonesia Energy stock market strength indicators, traders can identify Indonesia Energy entry and exit signals to maximize returns.
Indonesia Energy Risk Indicators
The analysis of Indonesia 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 Indonesia Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting indonesia 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 | 5.43 | |||
| Semi Deviation | 5.13 | |||
| Standard Deviation | 12.08 | |||
| Variance | 145.92 | |||
| Downside Variance | 35.39 | |||
| Semi Variance | 26.33 | |||
| Expected Short fall | (8.27) |
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 ArchitectCheck out Historical Fundamental Analysis of Indonesia Energy to cross-verify your projections. To learn how to invest in Indonesia Stock, please use our How to Invest in Indonesia Energy guide.Note that the Indonesia Energy information on this page should be used as a complementary analysis to other Indonesia Energy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Indonesia Stock analysis
When running Indonesia Energy's price analysis, check to measure Indonesia 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 Indonesia Energy is operating at the current time. Most of Indonesia Energy's value examination focuses on studying past and present price action to predict the probability of Indonesia 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 Indonesia Energy's price. Additionally, you may evaluate how the addition of Indonesia Energy to your portfolios can decrease your overall portfolio volatility.
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Is Indonesia Energy's industry 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 Indonesia Energy. If investors know Indonesia 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 Indonesia Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.38) | Revenue Per Share 0.359 | Quarterly Revenue Growth (0.21) | Return On Assets (0.15) | Return On Equity (0.27) |
The market value of Indonesia Energy is measured differently than its book value, which is the value of Indonesia that is recorded on the company's balance sheet. Investors also form their own opinion of Indonesia Energy's value that differs from its market value or its book value, called intrinsic value, which is Indonesia Energy'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 Indonesia Energy's market value can be influenced by many factors that don't directly affect Indonesia Energy'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 Indonesia Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Indonesia Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Indonesia Energy'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.