AB Active Etf Forward View - Double Exponential Smoothing
| EMOP Etf | 44.91 1.09 2.37% |
EMOP Etf outlook is based on your current time horizon.
The relative strength momentum indicator of AB Active's etf price is slightly above 64 suggesting that the etf is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling EMOP, making its price go up or down. Momentum 64
Buy Extended
Oversold | Overbought |
Using AB Active hype-based prediction, you can estimate the value of AB Active ETFs from the perspective of AB Active response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of AB Active ETFs on the next trading day is expected to be 45.19 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 19.59. AB Active after-hype prediction price | USD 46.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of AB Active to cross-verify your projections. AB Active Additional Predictive Modules
Most predictive techniques to examine EMOP price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EMOP using various technical indicators. When you analyze EMOP charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
AB Active Double Exponential Smoothing Price Forecast For the 31st of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of AB Active ETFs on the next trading day is expected to be 45.19 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.21, and the sum of the absolute errors of 19.59.Please note that although there have been many attempts to predict EMOP 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 AB Active's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AB Active Etf Forecast Pattern
| Backtest AB Active | AB Active Price Prediction | Buy or Sell Advice |
AB Active Forecasted Value
In the context of forecasting AB Active'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. AB Active's downside and upside margins for the forecasting period are 44.20 and 46.17, respectively. We have considered AB Active'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of AB Active etf data series using in forecasting. Note that when a statistical model is used to represent AB Active 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0504 |
| MAD | Mean absolute deviation | 0.3321 |
| MAPE | Mean absolute percentage error | 0.008 |
| SAE | Sum of the absolute errors | 19.5916 |
Predictive Modules for AB Active
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AB Active ETFs. 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.AB Active After-Hype Price Density Analysis
As far as predicting the price of AB Active at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in AB Active or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of AB Active, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
AB Active Estimiated After-Hype Price Volatility
In the context of predicting AB Active's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AB Active's historical news coverage. AB Active's after-hype downside and upside margins for the prediction period are 45.07 and 46.93, respectively. We have considered AB Active's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
AB Active is very steady at this time. Analysis and calculation of next after-hype price of AB Active ETFs is based on 3 months time horizon.
AB Active Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as AB Active is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AB Active backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with AB Active, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.17 | 0.98 | 0.00 | 0.00 | 0 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
44.91 | 46.00 | 0.00 |
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AB Active Hype Timeline
AB Active ETFs is currently traded for 44.91. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. EMOP is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.17%. %. The volatility of related hype on AB Active is about 5444.44%, with the expected price after the next announcement by competition of 44.91. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be in a few days. Check out Historical Fundamental Analysis of AB Active to cross-verify your projections.AB Active Related Hype Analysis
Having access to credible news sources related to AB Active's direct competition is more important than ever and may enhance your ability to predict AB Active's future price movements. Getting to know how AB Active's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how AB Active may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LITL | Simplify Exchange Traded | 0.38 | 1 per month | 0.84 | 0.04 | 1.81 | (1.79) | 5.70 | |
| WCEO | Hypatia Women Ceo | 0.03 | 6 per month | 0.72 | 0.02 | 1.61 | (1.37) | 4.43 | |
| JPAN | Matthews International Funds | (0.04) | 4 per month | 0.86 | 0.05 | 1.74 | (1.42) | 4.86 | |
| SNPD | DBX ETF Trust | 0.10 | 2 per month | 0.55 | 0.07 | 1.25 | (1.03) | 3.31 | |
| ISHP | First Trust S Network | (0.27) | 1 per month | 0.00 | (0.14) | 1.21 | (1.79) | 3.87 | |
| GBLD | Invesco MSCI Green | 0.02 | 3 per month | 0.64 | (0.05) | 1.19 | (1.08) | 3.00 | |
| GMMA | Gammaroad Market Navigation | 0.05 | 10 per month | 0.33 | (0.1) | 0.52 | (0.53) | 1.98 | |
| TOT | Advisor Managed Portfolios | 0.05 | 2 per month | 0.80 | (0.02) | 1.17 | (1.23) | 3.68 | |
| AVIE | American Century ETF | (0.35) | 2 per month | 0.31 | 0.14 | 1.21 | (0.75) | 2.82 | |
| CARU | Bank of Montreal | (0.15) | 2 per month | 4.27 | 0.01 | 6.45 | (7.37) | 18.18 |
Other Forecasting Options for AB Active
For every potential investor in EMOP, whether a beginner or expert, AB Active's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. EMOP Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in EMOP. Basic forecasting techniques help filter out the noise by identifying AB Active's price trends.AB Active 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 AB Active etf to make a market-neutral strategy. Peer analysis of AB Active could also be used in its relative valuation, which is a method of valuing AB Active by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AB Active Market Strength Events
Market strength indicators help investors to evaluate how AB Active etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AB Active shares will generate the highest return on investment. By undertsting and applying AB Active etf market strength indicators, traders can identify AB Active ETFs entry and exit signals to maximize returns.
| Accumulation Distribution | 371.54 | |||
| Daily Balance Of Power | (1.63) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 45.25 | |||
| Day Typical Price | 45.13 | |||
| Price Action Indicator | (0.88) | |||
| Period Momentum Indicator | (1.09) | |||
| Relative Strength Index | 64.05 |
AB Active Risk Indicators
The analysis of AB Active'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 AB Active's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting emop 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 | 0.713 | |||
| Semi Deviation | 0.5042 | |||
| Standard Deviation | 0.9198 | |||
| Variance | 0.8461 | |||
| Downside Variance | 0.5667 | |||
| Semi Variance | 0.2542 | |||
| Expected Short fall | (0.84) |
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.
Story Coverage note for AB Active
The number of cover stories for AB Active depends on current market conditions and AB Active's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AB Active is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about AB Active's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of AB Active to cross-verify your projections. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Investors evaluate AB Active ETFs using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating AB Active's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause AB Active's market price to deviate significantly from intrinsic value.
It's important to distinguish between AB Active's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding AB Active should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, AB Active's market price signifies the transaction level at which participants voluntarily complete trades.