ProShares Ultra Etf Forecast - Polynomial Regression

USD Etf  USD 98.99  1.32  1.32%   
The Polynomial Regression forecasted value of ProShares Ultra Semiconductors on the next trading day is expected to be 100.97 with a mean absolute deviation of  2.99  and the sum of the absolute errors of 185.16. ProShares Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast ProShares Ultra stock prices and determine the direction of ProShares Ultra Semiconductors's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ProShares Ultra's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of ProShares Ultra to cross-verify your projections.
  

Open Interest Against 2024-04-19 ProShares Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast ProShares Ultra'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 ProShares Ultra's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for ProShares Ultra 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 ProShares Ultra's open interest, investors have to compare it to ProShares Ultra'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 ProShares Ultra 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 ProShares. 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.
Most investors in ProShares Ultra 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 ProShares Ultra's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets ProShares Ultra's price structures and extracts relationships that further increase the generated results' accuracy.
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 Semiconductors as well as the accuracy indicators are determined from the period prices.

ProShares Ultra Polynomial Regression Price Forecast For the 29th of March

Given 90 days horizon, the Polynomial Regression forecasted value of ProShares Ultra Semiconductors on the next trading day is expected to be 100.97 with a mean absolute deviation of 2.99, mean absolute percentage error of 16.67, and the sum of the absolute errors of 185.16.
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 96.48 and 105.47, 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
98.99
100.97
Expected Value
105.47
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 Criteria122.7618
BiasArithmetic mean of the errors None
MADMean absolute deviation2.9864
MAPEMean absolute percentage error0.0382
SAESum of the absolute errors185.1576
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 Semi. 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 ProShares Ultra'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.
Hype
Prediction
LowEstimatedHigh
96.65101.14105.63
Details
Intrinsic
Valuation
LowRealHigh
89.09103.94108.43
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.14100.94104.73
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ProShares Ultra. Your research has to be compared to or analyzed against ProShares Ultra's peers to derive any actionable benefits. When done correctly, ProShares Ultra's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in ProShares Ultra Semi.

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 Semi 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 Semiconductors 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards ProShares Ultra in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, ProShares Ultra's short interest history, or implied volatility extrapolated from ProShares Ultra options trading.

Also Currently Popular

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.
When determining whether ProShares Ultra Semi is a strong investment it is important to analyze ProShares Ultra's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ProShares Ultra's future performance. For an informed investment choice regarding ProShares Etf, refer to the following important reports:
Check out Historical Fundamental Analysis of ProShares Ultra to cross-verify your projections.
You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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When running ProShares Ultra's price analysis, check to measure ProShares Ultra's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ProShares Ultra is operating at the current time. Most of ProShares Ultra's value examination focuses on studying past and present price action to predict the probability of ProShares Ultra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ProShares Ultra's price. Additionally, you may evaluate how the addition of ProShares Ultra to your portfolios can decrease your overall portfolio volatility.
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The market value of ProShares Ultra Semi 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.