Akros Monthly Etf Forecast - 20 Period Moving Average
| MPAY Etf | USD 23.51 0.25 1.07% |
The 20 Period Moving Average forecasted value of Akros Monthly Payout on the next trading day is expected to be 23.79 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 16.55. Akros Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Akros Monthly stock prices and determine the direction of Akros Monthly Payout's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Akros Monthly's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Akros Monthly to cross-verify your projections. Akros |
Most investors in Akros Monthly cannot accurately predict what will happen the next trading day because, historically, etf 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 Akros Monthly's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Akros Monthly's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for Akros Monthly Payout is based on a synthetically constructed Akros Monthlydaily 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. Akros Monthly 20 Period Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the 20 Period Moving Average forecasted value of Akros Monthly Payout on the next trading day is expected to be 23.79 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.22, and the sum of the absolute errors of 16.55.Please note that although there have been many attempts to predict Akros Etf 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 Akros Monthly's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Akros Monthly Etf Forecast Pattern
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Akros Monthly Forecasted Value
In the context of forecasting Akros Monthly's Etf 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. Akros Monthly's downside and upside margins for the forecasting period are 22.92 and 24.65, respectively. We have considered Akros Monthly'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Akros Monthly etf data series using in forecasting. Note that when a statistical model is used to represent Akros Monthly etf, 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 | 79.8447 |
| Bias | Arithmetic mean of the errors | -0.137 |
| MAD | Mean absolute deviation | 0.4036 |
| MAPE | Mean absolute percentage error | 0.017 |
| SAE | Sum of the absolute errors | 16.548 |
Predictive Modules for Akros Monthly
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Akros Monthly Payout. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Akros Monthly'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 Akros Monthly
For every potential investor in Akros, whether a beginner or expert, Akros Monthly's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Akros Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Akros. Basic forecasting techniques help filter out the noise by identifying Akros Monthly's price trends.Akros Monthly 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 Akros Monthly etf to make a market-neutral strategy. Peer analysis of Akros Monthly could also be used in its relative valuation, which is a method of valuing Akros Monthly by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Akros Monthly Payout Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Akros Monthly'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 Akros Monthly's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Akros Monthly Market Strength Events
Market strength indicators help investors to evaluate how Akros Monthly etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Akros Monthly shares will generate the highest return on investment. By undertsting and applying Akros Monthly etf market strength indicators, traders can identify Akros Monthly Payout entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 23.51 | |||
| Day Typical Price | 23.51 | |||
| Price Action Indicator | 0.13 | |||
| Period Momentum Indicator | 0.25 |
Akros Monthly Risk Indicators
The analysis of Akros Monthly'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 Akros Monthly's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting akros etf 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 | 0.669 | |||
| Semi Deviation | 0.6795 | |||
| Standard Deviation | 0.8477 | |||
| Variance | 0.7186 | |||
| Downside Variance | 0.6416 | |||
| Semi Variance | 0.4618 | |||
| Expected Short fall | (0.75) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Akros Monthly in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Akros Monthly's short interest history, or implied volatility extrapolated from Akros Monthly options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Akros Monthly to cross-verify your projections. Note that the Akros Monthly Payout information on this page should be used as a complementary analysis to other Akros Monthly'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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
The market value of Akros Monthly Payout is measured differently than its book value, which is the value of Akros that is recorded on the company's balance sheet. Investors also form their own opinion of Akros Monthly's value that differs from its market value or its book value, called intrinsic value, which is Akros Monthly'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 Akros Monthly's market value can be influenced by many factors that don't directly affect Akros Monthly'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 Akros Monthly's value and its price as these two are different measures arrived at by different means. Investors typically determine if Akros Monthly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Akros Monthly'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.