KraneShares Trust Etf Forecast - 20 Period Moving Average
| KDIV Etf | USD 26.55 0.11 0.42% |
The 20 Period Moving Average forecasted value of KraneShares Trust on the next trading day is expected to be 26.57 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 14.79. KraneShares Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast KraneShares Trust stock prices and determine the direction of KraneShares Trust 's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of KraneShares Trust's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of KraneShares Trust to cross-verify your projections. KraneShares |
Most investors in KraneShares Trust 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 KraneShares Trust's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets KraneShares Trust's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for KraneShares Trust is based on a synthetically constructed KraneShares Trustdaily 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. KraneShares Trust 20 Period Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the 20 Period Moving Average forecasted value of KraneShares Trust on the next trading day is expected to be 26.57 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.21, and the sum of the absolute errors of 14.79.Please note that although there have been many attempts to predict KraneShares 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 KraneShares Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
KraneShares Trust Etf Forecast Pattern
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KraneShares Trust Forecasted Value
In the context of forecasting KraneShares Trust'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 Trust's downside and upside margins for the forecasting period are 25.77 and 27.38, respectively. We have considered KraneShares Trust'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 KraneShares Trust etf data series using in forecasting. Note that when a statistical model is used to represent KraneShares Trust 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 | 79.79 |
| Bias | Arithmetic mean of the errors | -0.0239 |
| MAD | Mean absolute deviation | 0.3607 |
| MAPE | Mean absolute percentage error | 0.0135 |
| SAE | Sum of the absolute errors | 14.787 |
Predictive Modules for KraneShares Trust
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 Trust. 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 Trust'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 KraneShares Trust
For every potential investor in KraneShares, whether a beginner or expert, KraneShares Trust'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 Trust's price trends.KraneShares Trust 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 Trust etf to make a market-neutral strategy. Peer analysis of KraneShares Trust could also be used in its relative valuation, which is a method of valuing KraneShares Trust by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
KraneShares Trust 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 KraneShares Trust'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 KraneShares Trust's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
KraneShares Trust Market Strength Events
Market strength indicators help investors to evaluate how KraneShares Trust 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 Trust shares will generate the highest return on investment. By undertsting and applying KraneShares Trust etf market strength indicators, traders can identify KraneShares Trust entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 26.55 | |||
| Day Typical Price | 26.55 | |||
| Price Action Indicator | 0.055 | |||
| Period Momentum Indicator | 0.11 |
KraneShares Trust Risk Indicators
The analysis of KraneShares Trust'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 Trust'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 | 0.6037 | |||
| Semi Deviation | 0.7514 | |||
| Standard Deviation | 0.7996 | |||
| Variance | 0.6394 | |||
| Downside Variance | 0.7414 | |||
| Semi Variance | 0.5646 | |||
| Expected Short fall | (0.61) |
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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The market value of KraneShares Trust is measured differently than its book value, which is the value of KraneShares that is recorded on the company's balance sheet. Investors also form their own opinion of KraneShares Trust's value that differs from its market value or its book value, called intrinsic value, which is KraneShares Trust'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 KraneShares Trust's market value can be influenced by many factors that don't directly affect KraneShares Trust'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 KraneShares Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if KraneShares Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KraneShares Trust'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.