Consumer Discretionary Etf Forecast - Double Exponential Smoothing
| XLY Etf | USD 222.38 4.39 1.94% |
The Double Exponential Smoothing forecasted value of Consumer Discretionary Select on the next trading day is expected to be 223.24 with a mean absolute deviation of 2.18 and the sum of the absolute errors of 128.35. Consumer Etf Forecast is based on your current time horizon.
Consumer |
Open Interest Against 2025-01-10 Consumer Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Consumer Discretionary'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 Consumer Discretionary's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Consumer Discretionary 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 Consumer Discretionary's open interest, investors have to compare it to Consumer Discretionary'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 Consumer Discretionary 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 Consumer. 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.
Consumer Discretionary Double Exponential Smoothing Price Forecast For the 9th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Consumer Discretionary Select on the next trading day is expected to be 223.24 with a mean absolute deviation of 2.18, mean absolute percentage error of 8.60, and the sum of the absolute errors of 128.35.Please note that although there have been many attempts to predict Consumer 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 Consumer Discretionary's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Consumer Discretionary Etf Forecast Pattern
| Backtest Consumer Discretionary | Consumer Discretionary Price Prediction | Buy or Sell Advice |
Consumer Discretionary Forecasted Value
In the context of forecasting Consumer Discretionary'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. Consumer Discretionary's downside and upside margins for the forecasting period are 221.94 and 224.54, respectively. We have considered Consumer Discretionary'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Consumer Discretionary etf data series using in forecasting. Note that when a statistical model is used to represent Consumer Discretionary 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.431 |
| MAD | Mean absolute deviation | 2.1754 |
| MAPE | Mean absolute percentage error | 0.01 |
| SAE | Sum of the absolute errors | 128.35 |
Predictive Modules for Consumer Discretionary
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Consumer Discretionary. 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 Consumer Discretionary
For every potential investor in Consumer, whether a beginner or expert, Consumer Discretionary's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Consumer Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Consumer. Basic forecasting techniques help filter out the noise by identifying Consumer Discretionary's price trends.Consumer Discretionary 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 Consumer Discretionary etf to make a market-neutral strategy. Peer analysis of Consumer Discretionary could also be used in its relative valuation, which is a method of valuing Consumer Discretionary by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Consumer Discretionary 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 Consumer Discretionary'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 Consumer Discretionary's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Consumer Discretionary Market Strength Events
Market strength indicators help investors to evaluate how Consumer Discretionary etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Consumer Discretionary shares will generate the highest return on investment. By undertsting and applying Consumer Discretionary etf market strength indicators, traders can identify Consumer Discretionary Select entry and exit signals to maximize returns.
| Accumulation Distribution | 0.025 | |||
| Daily Balance Of Power | (0.77) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 224.41 | |||
| Day Typical Price | 223.73 | |||
| Market Facilitation Index | 5.68 | |||
| Price Action Indicator | (4.23) | |||
| Period Momentum Indicator | (4.39) |
Consumer Discretionary Risk Indicators
The analysis of Consumer Discretionary'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 Consumer Discretionary's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting consumer 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 | 0.9654 | |||
| Semi Deviation | 1.16 | |||
| Standard Deviation | 1.29 | |||
| Variance | 1.68 | |||
| Downside Variance | 1.79 | |||
| Semi Variance | 1.34 | |||
| Expected Short fall | (1.04) |
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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| BTC | Bitcoin | |
| TRX | TRON | |
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Check out Historical Fundamental Analysis of Consumer Discretionary to cross-verify your projections. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
The market value of Consumer Discretionary is measured differently than its book value, which is the value of Consumer that is recorded on the company's balance sheet. Investors also form their own opinion of Consumer Discretionary's value that differs from its market value or its book value, called intrinsic value, which is Consumer Discretionary'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 Consumer Discretionary's market value can be influenced by many factors that don't directly affect Consumer Discretionary'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 Consumer Discretionary's value and its price as these two are different measures arrived at by different means. Investors typically determine if Consumer Discretionary is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Consumer Discretionary'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.