ProShares Ultra Etf Forecast - Polynomial Regression

BOIL Etf  USD 48.17  5.11  9.59%   
The Polynomial Regression forecasted value of ProShares Ultra Bloomberg on the next trading day is expected to be 47.55 with a mean absolute deviation of 2.81 and the sum of the absolute errors of 174.15. ProShares Etf Forecast is based on your current time horizon.
  
ProShares Ultra polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ProShares Ultra Bloomberg as well as the accuracy indicators are determined from the period prices.

ProShares Ultra Polynomial Regression Price Forecast For the 28th of December

Given 90 days horizon, the Polynomial Regression forecasted value of ProShares Ultra Bloomberg on the next trading day is expected to be 47.55 with a mean absolute deviation of 2.81, mean absolute percentage error of 12.48, and the sum of the absolute errors of 174.15.
Please note that although there have been many attempts to predict ProShares 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 ProShares Ultra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ProShares Ultra Etf Forecast Pattern

Backtest ProShares UltraProShares Ultra Price PredictionBuy or Sell Advice 

ProShares Ultra Forecasted Value

In the context of forecasting ProShares Ultra'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. ProShares Ultra's downside and upside margins for the forecasting period are 41.25 and 53.86, respectively. We have considered ProShares Ultra'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.
Market Value
48.17
47.55
Expected Value
53.86
Upside

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 ProShares Ultra etf data series using in forecasting. Note that when a statistical model is used to represent ProShares Ultra 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.
AICAkaike Information Criteria122.4722
BiasArithmetic mean of the errors None
MADMean absolute deviation2.8089
MAPEMean absolute percentage error0.0636
SAESum of the absolute errors174.1539
A single variable polynomial regression model attempts to put a curve through the ProShares Ultra historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for ProShares Ultra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ProShares Ultra Bloomberg. 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.
Hype
Prediction
LowEstimatedHigh
41.8448.1454.44
Details
Intrinsic
Valuation
LowRealHigh
38.0344.3350.63
Details

Other Forecasting Options for ProShares Ultra

For every potential investor in ProShares, whether a beginner or expert, ProShares Ultra's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ProShares Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ProShares. Basic forecasting techniques help filter out the noise by identifying ProShares Ultra's price trends.

ProShares Ultra 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 ProShares Ultra etf to make a market-neutral strategy. Peer analysis of ProShares Ultra could also be used in its relative valuation, which is a method of valuing ProShares Ultra by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

ProShares Ultra Bloomberg 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 ProShares Ultra'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 ProShares Ultra's current price.

ProShares Ultra Market Strength Events

Market strength indicators help investors to evaluate how ProShares Ultra etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ProShares Ultra shares will generate the highest return on investment. By undertsting and applying ProShares Ultra etf market strength indicators, traders can identify ProShares Ultra Bloomberg entry and exit signals to maximize returns.

ProShares Ultra Risk Indicators

The analysis of ProShares Ultra'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 ProShares Ultra's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting proshares 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.
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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether ProShares Ultra Bloomberg offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ProShares Ultra's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Proshares Ultra Bloomberg Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Proshares Ultra Bloomberg Etf:
Check out Historical Fundamental Analysis of ProShares Ultra to cross-verify your projections.
You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
The market value of ProShares Ultra Bloomberg is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Ultra's value that differs from its market value or its book value, called intrinsic value, which is ProShares Ultra'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 ProShares Ultra's market value can be influenced by many factors that don't directly affect ProShares Ultra'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 ProShares Ultra's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Ultra is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Ultra'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.