Direxion Etf Forecast - Polynomial Regression
| ONG Etf | USD 28.98 0.00 0.00% |
The Polynomial Regression forecasted value of Direxion on the next trading day is expected to be 31.60 with a mean absolute deviation of 2.40 and the sum of the absolute errors of 146.66. Direxion Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Direxion stock prices and determine the direction of Direxion's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Direxion's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Direxion |
Most investors in Direxion 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 Direxion's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Direxion's price structures and extracts relationships that further increase the generated results' accuracy.
Direxion polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Direxion as well as the accuracy indicators are determined from the period prices. Direxion Polynomial Regression Price Forecast For the 24th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Direxion on the next trading day is expected to be 31.60 with a mean absolute deviation of 2.40, mean absolute percentage error of 9.08, and the sum of the absolute errors of 146.66.Please note that although there have been many attempts to predict Direxion 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 Direxion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Direxion Etf Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Direxion etf data series using in forecasting. Note that when a statistical model is used to represent Direxion 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 | 120.3162 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.4043 |
| MAPE | Mean absolute percentage error | 0.0744 |
| SAE | Sum of the absolute errors | 146.6595 |
Predictive Modules for Direxion
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Direxion. 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 Direxion'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.
Direxion 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 Direxion etf to make a market-neutral strategy. Peer analysis of Direxion could also be used in its relative valuation, which is a method of valuing Direxion by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Direxion Market Strength Events
Market strength indicators help investors to evaluate how Direxion etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Direxion shares will generate the highest return on investment. By undertsting and applying Direxion etf market strength indicators, traders can identify Direxion entry and exit signals to maximize returns.
Direxion Risk Indicators
The analysis of Direxion'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 Direxion's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting direxion 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 | 3.61 | |||
| Standard Deviation | 4.79 | |||
| Variance | 22.94 |
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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Try AI Portfolio ArchitectCheck out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
The market value of Direxion is measured differently than its book value, which is the value of Direxion that is recorded on the company's balance sheet. Investors also form their own opinion of Direxion's value that differs from its market value or its book value, called intrinsic value, which is Direxion'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 Direxion's market value can be influenced by many factors that don't directly affect Direxion'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 Direxion's value and its price as these two are different measures arrived at by different means. Investors typically determine if Direxion is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Direxion'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.