ProShares Online Etf Forecast - Double Exponential Smoothing

ONLN Etf  USD 44.71  0.24  0.53%   
The Double Exponential Smoothing forecasted value of ProShares Online Retail on the next trading day is expected to be 44.75 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 28.33. ProShares Etf Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for ProShares Online works best with periods where there are trends or seasonality.

ProShares Online Double Exponential Smoothing Price Forecast For the 22nd of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of ProShares Online Retail on the next trading day is expected to be 44.75 with a mean absolute deviation of 0.48, mean absolute percentage error of 0.32, and the sum of the absolute errors of 28.33.
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 Online's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ProShares Online Etf Forecast Pattern

Backtest ProShares OnlineProShares Online Price PredictionBuy or Sell Advice 

ProShares Online Forecasted Value

In the context of forecasting ProShares Online'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 Online's downside and upside margins for the forecasting period are 43.37 and 46.14, respectively. We have considered ProShares Online'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
44.71
44.75
Expected Value
46.14
Upside

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 ProShares Online etf data series using in forecasting. Note that when a statistical model is used to represent ProShares Online 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0795
MADMean absolute deviation0.4801
MAPEMean absolute percentage error0.011
SAESum of the absolute errors28.3265
When ProShares Online Retail prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any ProShares Online Retail trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent ProShares Online observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for ProShares Online

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 Online Retail. 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
43.5844.9646.34
Details
Intrinsic
Valuation
LowRealHigh
43.0144.3945.77
Details
Bollinger
Band Projection (param)
LowMiddleHigh
43.1344.6446.15
Details

Other Forecasting Options for ProShares Online

For every potential investor in ProShares, whether a beginner or expert, ProShares Online'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 Online's price trends.

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

ProShares Online Retail 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 Online'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 Online's current price.

ProShares Online Market Strength Events

Market strength indicators help investors to evaluate how ProShares Online 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 Online shares will generate the highest return on investment. By undertsting and applying ProShares Online etf market strength indicators, traders can identify ProShares Online Retail entry and exit signals to maximize returns.

ProShares Online Risk Indicators

The analysis of ProShares Online'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 Online'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.

Pair Trading with ProShares Online

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 ProShares Online 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 ProShares Online will appreciate offsetting losses from the drop in the long position's value.

Moving together with ProShares Etf

  0.74XLY Consumer DiscretionaryPairCorr
  0.73VCR Vanguard ConsumerPairCorr
  0.73FDIS Fidelity MSCI ConsumerPairCorr
The ability to find closely correlated positions to ProShares Online could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ProShares Online 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 ProShares Online - 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 ProShares Online Retail to buy it.
The correlation of ProShares Online 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 ProShares Online moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ProShares Online Retail 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 ProShares Online 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.
Pair CorrelationCorrelation Matching
When determining whether ProShares Online Retail offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ProShares Online'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 Online Retail Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Proshares Online Retail Etf:
Check out Historical Fundamental Analysis of ProShares Online to cross-verify your projections.
You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
The market value of ProShares Online Retail 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 Online's value that differs from its market value or its book value, called intrinsic value, which is ProShares Online'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 Online's market value can be influenced by many factors that don't directly affect ProShares Online'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 Online's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Online is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Online'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.