Leverage Shares Etf Forecast - Simple Exponential Smoothing
| HOOG Etf | 69.03 0.04 0.06% |
The Simple Exponential Smoothing forecasted value of Leverage Shares 2X on the next trading day is expected to be 69.04 with a mean absolute deviation of 6.19 and the sum of the absolute errors of 377.82. Leverage Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Leverage Shares' historical fundamentals, such as revenue growth or operating cash flow patterns.
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Open Interest Against 2026-02-20 Leverage Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Leverage Shares' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Leverage Shares' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Leverage Shares stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Leverage Shares' open interest, investors have to compare it to Leverage Shares' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Leverage Shares is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Leverage. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Leverage Shares Simple Exponential Smoothing Price Forecast For the 26th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Leverage Shares 2X on the next trading day is expected to be 69.04 with a mean absolute deviation of 6.19, mean absolute percentage error of 65.13, and the sum of the absolute errors of 377.82.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
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Leverage Shares Forecasted Value
In the context of forecasting Leverage Shares' 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. Leverage Shares' downside and upside margins for the forecasting period are 59.71 and 78.38, respectively. We have considered Leverage Shares' 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 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 | 122.2869 |
| Bias | Arithmetic mean of the errors | 0.9369 |
| MAD | Mean absolute deviation | 6.1938 |
| MAPE | Mean absolute percentage error | 0.0707 |
| SAE | Sum of the absolute errors | 377.8202 |
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 2X. 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.Other Forecasting Options for Leverage Shares
For every potential investor in Leverage, whether a beginner or expert, Leverage Shares' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Leverage Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Leverage. Basic forecasting techniques help filter out the noise by identifying Leverage Shares' price trends.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 2X 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 Leverage Shares' 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 Leverage Shares' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 2X entry and exit signals to maximize returns.
| Accumulation Distribution | 2894.67 | |||
| Daily Balance Of Power | (0.02) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 68.36 | |||
| Day Typical Price | 68.59 | |||
| Price Action Indicator | 0.65 | |||
| Period Momentum Indicator | (0.04) |
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 | 6.92 | |||
| Standard Deviation | 9.15 | |||
| Variance | 83.77 |
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.
Currently Active Assets on Macroaxis
| DD | Dupont De Nemours | |
| CRDO | Credo Technology Group | |
| GOOG | Alphabet Inc Class C | |
| BAC | Bank of America | |
| CRM | Salesforce |
Check out Historical Fundamental Analysis of Leverage Shares to cross-verify your projections. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of Leverage Shares 2X is measured differently than its book value, which is the value of Leverage that is recorded on the company's balance sheet. Investors also form their own opinion of Leverage Shares' value that differs from its market value or its book value, called intrinsic value, which is Leverage Shares' 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 Leverage Shares' market value can be influenced by many factors that don't directly affect Leverage Shares' 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 Leverage Shares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Leverage Shares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Leverage Shares' 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.