KraneShares Hang Etf Forward View - Simple Moving Average
| KTEC Etf | USD 15.09 0.07 0.47% |
KraneShares Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast KraneShares Hang stock prices and determine the direction of KraneShares Hang Seng's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of KraneShares Hang's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength momentum indicator of KraneShares Hang's share price is below 20 . This indicates 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 Hang hype-based prediction, you can estimate the value of KraneShares Hang Seng from the perspective of KraneShares Hang response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of KraneShares Hang Seng on the next trading day is expected to be 15.05 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.48. KraneShares Hang after-hype prediction price | USD 15.03 |
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.
KraneShares | Build AI portfolio with KraneShares Etf |
KraneShares Hang 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KraneShares Hang Simple Moving Average Price Forecast For the 6th of February
Given 90 days horizon, the Simple Moving Average forecasted value of KraneShares Hang Seng on the next trading day is expected to be 15.05 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.48.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 Hang's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KraneShares Hang Etf Forecast Pattern
| Backtest KraneShares Hang | KraneShares Hang Price Prediction | Research Analysis |
KraneShares Hang Forecasted Value
In the context of forecasting KraneShares Hang'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 Hang's downside and upside margins for the forecasting period are 13.41 and 16.70, respectively. We have considered KraneShares Hang'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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of KraneShares Hang etf data series using in forecasting. Note that when a statistical model is used to represent KraneShares Hang 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 | 112.0219 |
| Bias | Arithmetic mean of the errors | 0.048 |
| MAD | Mean absolute deviation | 0.2285 |
| MAPE | Mean absolute percentage error | 0.0142 |
| SAE | Sum of the absolute errors | 13.48 |
Predictive Modules for KraneShares Hang
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 Hang Seng. 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 KraneShares Hang'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.
KraneShares Hang After-Hype Price Density Analysis
As far as predicting the price of KraneShares Hang 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 Hang 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 Hang, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
KraneShares Hang Estimiated After-Hype Price Volatility
In the context of predicting KraneShares Hang's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on KraneShares Hang's historical news coverage. KraneShares Hang's after-hype downside and upside margins for the prediction period are 13.37 and 16.69, respectively. We have considered KraneShares Hang'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 Hang is very steady at this time. Analysis and calculation of next after-hype price of KraneShares Hang Seng is based on 3 months time horizon.
KraneShares Hang Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as KraneShares Hang is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading KraneShares Hang 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 Hang, 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 |
0.15 | 1.65 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
15.09 | 15.03 | 0.07 |
|
KraneShares Hang Hype Timeline
KraneShares Hang Seng is now traded for 15.09. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. KraneShares is forecasted to increase in value after the next headline, with the price projected to jump to 15.03 or above. The average volatility of media hype impact on the company the price is insignificant. The price growth on the next news is projected to be 0.07%, whereas the daily expected return is now at -0.15%. The volatility of related hype on KraneShares Hang is about 0.0%, with the expected price after the next announcement by competition of 15.09. The company reported the previous year's revenue of 143.82 M. Net Income was 1.97 M with profit before overhead, payroll, taxes, and interest of 47.19 M. Given the investment horizon of 90 days the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of KraneShares Hang to cross-verify your projections.KraneShares Hang Related Hype Analysis
Having access to credible news sources related to KraneShares Hang's direct competition is more important than ever and may enhance your ability to predict KraneShares Hang's future price movements. Getting to know how KraneShares Hang'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 Hang may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EIRL | iShares MSCI Ireland | 0.00 | 0 per month | 0.94 | 0.11 | 1.83 | (1.48) | 4.11 | |
| KEMX | KraneShares MSCI Emerging | 0.00 | 0 per month | 0.57 | 0.23 | 2.00 | (1.41) | 4.10 | |
| FEDM | FlexShares ESG Climate | 0.00 | 0 per month | 0.59 | 0.1 | 1.25 | (1.11) | 3.84 | |
| WOMN | Impact Shares YWCA | 0.00 | 0 per month | 0.60 | (0.02) | 1.03 | (1.03) | 3.33 | |
| BLCV | BlackRock ETF Trust | 0.00 | 0 per month | 0.51 | 0.12 | 1.28 | (1.02) | 3.27 | |
| GSJY | Goldman Sachs ActiveBeta | 0.00 | 0 per month | 0.82 | 0.1 | 1.76 | (1.69) | 4.61 | |
| FSYD | Fidelity Sustainable High | 0.00 | 0 per month | 0.00 | (0.01) | 0.34 | (0.21) | 1.07 | |
| EASG | Xtrackers MSCI EAFE | 0.00 | 0 per month | 0.75 | 0.09 | 1.35 | (1.25) | 3.16 | |
| PFI | Invesco DWA Financial | 0.00 | 0 per month | 1.33 | (0.01) | 2.03 | (2.18) | 4.81 | |
| KGRN | KraneShares MSCI China | 0.00 | 0 per month | 0.00 | (0.18) | 2.12 | (1.84) | 5.29 |
Other Forecasting Options for KraneShares Hang
For every potential investor in KraneShares, whether a beginner or expert, KraneShares Hang'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 Hang's price trends.KraneShares Hang 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 Hang etf to make a market-neutral strategy. Peer analysis of KraneShares Hang could also be used in its relative valuation, which is a method of valuing KraneShares Hang by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KraneShares Hang Market Strength Events
Market strength indicators help investors to evaluate how KraneShares Hang 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 Hang shares will generate the highest return on investment. By undertsting and applying KraneShares Hang etf market strength indicators, traders can identify KraneShares Hang Seng entry and exit signals to maximize returns.
| Accumulation Distribution | 531.87 | |||
| Daily Balance Of Power | 0.28 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.21 | |||
| Day Typical Price | 15.17 | |||
| Price Action Indicator | (0.08) | |||
| Period Momentum Indicator | 0.07 |
KraneShares Hang Risk Indicators
The analysis of KraneShares Hang'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 Hang'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 | 1.22 | |||
| Standard Deviation | 1.66 | |||
| Variance | 2.76 |
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 Hang
The number of cover stories for KraneShares Hang depends on current market conditions and KraneShares Hang'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 Hang 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 Hang's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Check out Historical Fundamental Analysis of KraneShares Hang to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Investors evaluate KraneShares Hang Seng using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating KraneShares Hang's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause KraneShares Hang's market price to deviate significantly from intrinsic value.
Understanding that KraneShares Hang's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether KraneShares Hang represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, KraneShares Hang's market price signifies the transaction level at which participants voluntarily complete trades.