KraneShares Artificial Etf Forward View - Double Exponential Smoothing
| AGIX Etf | 35.14 1.15 3.38% |
KraneShares Etf outlook is based on your current time horizon.
At this time the relative strength momentum indicator of KraneShares Artificial's share price is below 20 . This suggests that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using KraneShares Artificial hype-based prediction, you can estimate the value of KraneShares Artificial Intelligence from the perspective of KraneShares Artificial response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of KraneShares Artificial Intelligence on the next trading day is expected to be 34.98 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 26.90. KraneShares Artificial after-hype prediction price | USD 34.68 |
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.
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KraneShares Artificial Additional Predictive Modules
Most predictive techniques to examine KraneShares price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for KraneShares using various technical indicators. When you analyze KraneShares 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KraneShares Artificial Double Exponential Smoothing Price Forecast For the 10th of February
Given 90 days horizon, the Double Exponential Smoothing forecasted value of KraneShares Artificial Intelligence on the next trading day is expected to be 34.98 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.37, and the sum of the absolute errors of 26.90.Please note that although there have been many attempts to predict KraneShares Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that KraneShares Artificial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KraneShares Artificial Etf Forecast Pattern
| Backtest KraneShares Artificial | KraneShares Artificial Price Prediction | Research Analysis |
KraneShares Artificial Forecasted Value
In the context of forecasting KraneShares Artificial'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. KraneShares Artificial's downside and upside margins for the forecasting period are 33.35 and 36.62, respectively. We have considered KraneShares Artificial'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 KraneShares Artificial etf data series using in forecasting. Note that when a statistical model is used to represent KraneShares Artificial 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 | -0.0682 |
| MAD | Mean absolute deviation | 0.4559 |
| MAPE | Mean absolute percentage error | 0.0129 |
| SAE | Sum of the absolute errors | 26.9008 |
Predictive Modules for KraneShares Artificial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KraneShares Artificial. 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.KraneShares Artificial After-Hype Price Density Analysis
As far as predicting the price of KraneShares Artificial 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 KraneShares Artificial 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 KraneShares Artificial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
KraneShares Artificial Estimiated After-Hype Price Volatility
In the context of predicting KraneShares Artificial's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on KraneShares Artificial's historical news coverage. KraneShares Artificial's after-hype downside and upside margins for the prediction period are 33.08 and 36.28, respectively. We have considered KraneShares Artificial'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
KraneShares Artificial is very steady at this time. Analysis and calculation of next after-hype price of KraneShares Artificial is based on 3 months time horizon.
KraneShares Artificial Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as KraneShares Artificial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading KraneShares Artificial 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 KraneShares Artificial, 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 |
0.08 | 1.64 | 0.00 | 0.03 | 0 Events / Month | 2 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
35.14 | 34.68 | 0.12 |
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KraneShares Artificial Hype Timeline
KraneShares Artificial is presently traded for 35.14. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.03. KraneShares is forecasted to decline in value after the next headline, with the price expected to drop to 34.68. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -0.12%, whereas the daily expected return is presently at -0.08%. The volatility of related hype on KraneShares Artificial is about 442.05%, with the expected price after the next announcement by competition of 35.11. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of KraneShares Artificial to cross-verify your projections.KraneShares Artificial Related Hype Analysis
Having access to credible news sources related to KraneShares Artificial's direct competition is more important than ever and may enhance your ability to predict KraneShares Artificial's future price movements. Getting to know how KraneShares Artificial'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 KraneShares Artificial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MMLG | First Trust Exchange Traded | (0.49) | 1 per month | 0.00 | (0.15) | 1.72 | (2.35) | 5.30 | |
| FCLD | Fidelity Covington Trust | 0.00 | 0 per month | 0.00 | (0.14) | 2.47 | (3.46) | 8.72 | |
| GOEX | Global X Gold | (0.04) | 1 per month | 3.12 | 0.19 | 5.85 | (4.96) | 21.29 | |
| LCLG | Advisors Series Trust | 0.00 | 0 per month | 1.28 | (0.07) | 1.47 | (2.50) | 5.59 | |
| FITE | SPDR SP Kensho | (3.24) | 2 per month | 1.82 | (0.04) | 2.50 | (3.21) | 7.11 | |
| BCUS | Exchange Listed Funds | 0.00 | 0 per month | 0.69 | (0.04) | 1.38 | (1.32) | 3.29 | |
| EPHE | iShares MSCI Philippines | 0.20 | 2 per month | 0.88 | 0.04 | 2.04 | (1.59) | 5.48 | |
| MID | American Century Mid | 0.00 | 0 per month | 0.00 | (0.1) | 1.71 | (2.00) | 3.96 | |
| CNEQ | The Alger ETF | 0.00 | 0 per month | 0.00 | (0.1) | 2.28 | (2.77) | 7.34 | |
| INCE | Franklin Income Equity | (0.14) | 10 per month | 0.00 | 0.22 | 1.07 | (0.71) | 2.18 |
Other Forecasting Options for KraneShares Artificial
For every potential investor in KraneShares, whether a beginner or expert, KraneShares Artificial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. KraneShares Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in KraneShares. Basic forecasting techniques help filter out the noise by identifying KraneShares Artificial's price trends.KraneShares Artificial 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 KraneShares Artificial etf to make a market-neutral strategy. Peer analysis of KraneShares Artificial could also be used in its relative valuation, which is a method of valuing KraneShares Artificial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KraneShares Artificial Market Strength Events
Market strength indicators help investors to evaluate how KraneShares Artificial etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading KraneShares Artificial shares will generate the highest return on investment. By undertsting and applying KraneShares Artificial etf market strength indicators, traders can identify KraneShares Artificial Intelligence entry and exit signals to maximize returns.
| Accumulation Distribution | 5847.26 | |||
| Daily Balance Of Power | 0.8582 | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 34.52 | |||
| Day Typical Price | 34.73 | |||
| Price Action Indicator | 1.2 | |||
| Period Momentum Indicator | 1.15 |
KraneShares Artificial Risk Indicators
The analysis of KraneShares Artificial'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 KraneShares Artificial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kraneshares 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 | 1.19 | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.68 |
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 KraneShares Artificial
The number of cover stories for KraneShares Artificial depends on current market conditions and KraneShares Artificial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that KraneShares Artificial 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 KraneShares Artificial'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 KraneShares Artificial to cross-verify your projections. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
KraneShares Artificial's market price often diverges from its book value, the accounting figure shown on KraneShares's balance sheet. Smart investors calculate KraneShares Artificial's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since KraneShares Artificial's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that KraneShares Artificial's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether KraneShares Artificial represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. However, KraneShares Artificial'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.