Yieldmax XOM Etf Forecast - Simple Exponential Smoothing
| XOMO Etf | 11.57 0.03 0.26% |
The Simple Exponential Smoothing forecasted value of Yieldmax XOM Option on the next trading day is expected to be 11.57 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.63. Yieldmax Etf Forecast is based on your current time horizon.
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Open Interest Against 2026-02-20 Yieldmax Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Yieldmax XOM's 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 Yieldmax XOM's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Yieldmax XOM 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 Yieldmax XOM's open interest, investors have to compare it to Yieldmax XOM's 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 Yieldmax XOM 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 Yieldmax. 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.
Yieldmax XOM Simple Exponential Smoothing Price Forecast For the 28th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Yieldmax XOM Option on the next trading day is expected to be 11.57 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.63.Please note that although there have been many attempts to predict Yieldmax 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 Yieldmax XOM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Yieldmax XOM Etf Forecast Pattern
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Yieldmax XOM Forecasted Value
In the context of forecasting Yieldmax XOM'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. Yieldmax XOM's downside and upside margins for the forecasting period are 10.73 and 12.41, respectively. We have considered Yieldmax XOM'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Yieldmax XOM etf data series using in forecasting. Note that when a statistical model is used to represent Yieldmax XOM 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 | 113.332 |
| Bias | Arithmetic mean of the errors | -0.0114 |
| MAD | Mean absolute deviation | 0.0759 |
| MAPE | Mean absolute percentage error | 0.0067 |
| SAE | Sum of the absolute errors | 4.6309 |
Predictive Modules for Yieldmax XOM
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Yieldmax XOM Option. 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 Yieldmax XOM
For every potential investor in Yieldmax, whether a beginner or expert, Yieldmax XOM's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Yieldmax Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Yieldmax. Basic forecasting techniques help filter out the noise by identifying Yieldmax XOM's price trends.Yieldmax XOM 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 Yieldmax XOM etf to make a market-neutral strategy. Peer analysis of Yieldmax XOM could also be used in its relative valuation, which is a method of valuing Yieldmax XOM by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Yieldmax XOM Option 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 Yieldmax XOM'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 Yieldmax XOM's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Yieldmax XOM Market Strength Events
Market strength indicators help investors to evaluate how Yieldmax XOM etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Yieldmax XOM shares will generate the highest return on investment. By undertsting and applying Yieldmax XOM etf market strength indicators, traders can identify Yieldmax XOM Option entry and exit signals to maximize returns.
| Accumulation Distribution | 266.62 | |||
| Daily Balance Of Power | (0.27) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 11.6 | |||
| Day Typical Price | 11.59 | |||
| Price Action Indicator | (0.04) | |||
| Period Momentum Indicator | (0.03) |
Yieldmax XOM Risk Indicators
The analysis of Yieldmax XOM'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 Yieldmax XOM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting yieldmax 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 | 0.7104 | |||
| Semi Deviation | 0.8767 | |||
| Standard Deviation | 0.8749 | |||
| Variance | 0.7654 | |||
| Downside Variance | 0.8774 | |||
| Semi Variance | 0.7686 | |||
| Expected Short fall | (0.72) |
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.
Pair Trading with Yieldmax XOM
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Yieldmax XOM position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Yieldmax XOM will appreciate offsetting losses from the drop in the long position's value.Moving together with Yieldmax Etf
Moving against Yieldmax Etf
| 0.49 | PUTW | WisdomTree CBOE SP Symbol Change | PairCorr |
The ability to find closely correlated positions to Yieldmax XOM could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Yieldmax XOM when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Yieldmax XOM - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Yieldmax XOM Option to buy it.
The correlation of Yieldmax XOM is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Yieldmax XOM moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Yieldmax XOM Option moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Yieldmax XOM can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Yieldmax XOM to cross-verify your projections. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
The market value of Yieldmax XOM Option is measured differently than its book value, which is the value of Yieldmax that is recorded on the company's balance sheet. Investors also form their own opinion of Yieldmax XOM's value that differs from its market value or its book value, called intrinsic value, which is Yieldmax XOM'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 Yieldmax XOM's market value can be influenced by many factors that don't directly affect Yieldmax XOM'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 Yieldmax XOM's value and its price as these two are different measures arrived at by different means. Investors typically determine if Yieldmax XOM is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Yieldmax XOM'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.