Leverage Shares Etf Forecast - Simple Exponential Smoothing
| 3XFE Etf | 6.02 0.06 0.99% |
Leverage |
Leverage Shares Simple Exponential Smoothing Price Forecast For the 21st of February
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Leverage Shares 3x on the next trading day is expected to be 6.02 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.42.Please note that although there have been many attempts to predict Leverage 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 Leverage Shares' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Leverage Shares Etf Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Leverage Shares etf data series using in forecasting. Note that when a statistical model is used to represent Leverage Shares 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 | 112.3473 |
| Bias | Arithmetic mean of the errors | -0.0037 |
| MAD | Mean absolute deviation | 0.107 |
| MAPE | Mean absolute percentage error | 0.019 |
| SAE | Sum of the absolute errors | 6.42 |
Predictive Modules for Leverage Shares
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Leverage Shares 3x. 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.Leverage Shares 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 Leverage Shares etf to make a market-neutral strategy. Peer analysis of Leverage Shares could also be used in its relative valuation, which is a method of valuing Leverage Shares by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Leverage Shares Market Strength Events
Market strength indicators help investors to evaluate how Leverage Shares etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Leverage Shares shares will generate the highest return on investment. By undertsting and applying Leverage Shares etf market strength indicators, traders can identify Leverage Shares 3x entry and exit signals to maximize returns.
Leverage Shares Risk Indicators
The analysis of Leverage Shares' 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 Leverage Shares' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting leverage 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 | 1.84 | |||
| Semi Deviation | 2.42 | |||
| Standard Deviation | 2.53 | |||
| Variance | 6.38 | |||
| Downside Variance | 6.9 | |||
| Semi Variance | 5.86 | |||
| Expected Short fall | (1.92) |
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.