ProShares Ultra Etf Forward View - Polynomial Regression
| QLD Etf | USD 62.13 -2.40 -3.72% |
This reference view applies Polynomial Regression to ProShares Ultra QQQ's historical closing prices. ProShares Ultra QQQ's Polynomial Regression reference page summarizes the forecasted price and model accuracy metrics from daily trading data. ProShares Ultra QQQ's forecast reference data is generated from the equity's historical trading prices. Mean absolute deviation and related metrics help quantify forecast uncertainty for ProShares Ultra QQQ.
The Polynomial Regression forecasted value of ProShares Ultra QQQ on the next trading day is expected to be 64.01 with a mean absolute deviation of 1.18 and the sum of the absolute errors of 72.03.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 All forecast values on this page for ProShares Ultra QQQ are Polynomial Regression reference data derived from historical price series. Polynomial Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Polynomial Regression forecasted value of ProShares Ultra QQQ on the next trading day is expected to be 64.01 with a mean absolute deviation of 1.18 , mean absolute percentage error of 2.32 , and the sum of the absolute errors of 72.03 .Please note that although there have been many attempts to predict ProShares Etf prices using its time series forecasting, we generally do not suggest 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).
Etf Forecast Pattern
| Backtest ProShares Ultra | ProShares Ultra Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for ProShares Ultra QQQ focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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.| AIC | Akaike Information Criteria | 118.9504 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1808 |
| MAPE | Mean absolute percentage error | 0.0171 |
| SAE | Sum of the absolute errors | 72.0284 |
Other Forecasting Options for ProShares Ultra
Volume-weighted price analysis for ProShares Etf gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in ProShares momentum before they appear in raw price. Comparing ProShares Ultra's realized volatility to implied volatility reveals whether the options market expects larger or smaller moves. Readings above 80 or below 20 highlight potential reversal zones in ProShares Etf price action.ProShares Ultra Related Equities
ProShares Ultra's market space within the Trading--Leveraged Equity space is best grasped by looking at the firms listed below. Growth rate gaps between ProShares Ultra and its peers often explain pricing differences in the market. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. Investors should weigh both financial metrics and softer factors when comparing these firms.
| Risk & Return | Correlation |
ProShares Ultra Market Strength Events
Evaluating the market strength of ProShares Ultra etf allows investors to gauge shifts in market momentum. By monitoring these indicators, investors can identify the most opportune moments to trade ProShares Ultra QQQ. These metrics are particularly useful when ProShares Ultra etf shows divergence from broader market trends. Regularly reviewing ProShares Ultra QQQ strength signals helps maintain a structured approach to position management.
ProShares Ultra Risk Indicators
Understanding ProShares Ultra's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in ProShares Ultra's investment, investors can decide how to position their exposure. Reviewing ProShares Ultra's basic risk indicators is essential for managing investment risk effectively. The risk-return trade-off for proshares etf becomes clearer when ProShares Ultra's risk indicators are properly assessed.
| Mean Deviation | 1.54 | |||
| Standard Deviation | 1.93 | |||
| Variance | 3.74 |
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.
Story Coverage note for ProShares Ultra
Coverage intensity for ProShares Ultra QQQ matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
Story Categories
Currently Trending Categories
More Resources for ProShares Etf Analysis
Analysis of ProShares Ultra QQQ often begins with its financial statements and historical patterns. All figures are aligned with ProShares Ultra's latest available data.Historical Fundamental Analysis of ProShares Ultra can be used to cross-verify projections for ProShares Ultra. ProShares Ultra currently shows P/E of 20.67. Investors get more value from ProShares Ultra analysis when it is combined with the construction and diversification tools listed below. ProShares Ultra analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
ProShares Ultra QQQ can be assessed through both market valuation and accounting book value, which often tell different stories. The 4.56 P/B ratio shows ProShares Ultra carries a substantial premium over its balance-sheet equity. Intrinsic value provides a third perspective, grounded in fundamentals rather than accounting convention or market sentiment.
ProShares Ultra's value is shaped by fundamental inputs, whereas price is shaped by supply and demand dynamics. The observed price for ProShares Ultra captures the most recent agreement between transacting parties.