JPMorgan Ultra Etf Forecast - Simple Regression
| JPST Etf | USD 50.70 0.01 0.02% |
The Simple Regression forecasted value of JPMorgan Ultra Short Income on the next trading day is expected to be 50.73 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.76. JPMorgan Etf Forecast is based on your current time horizon.
At this time the relative strength momentum indicator of JPMorgan Ultra's share price is below 20 . This indicates that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using JPMorgan Ultra hype-based prediction, you can estimate the value of JPMorgan Ultra Short Income from the perspective of JPMorgan Ultra response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards JPMorgan Ultra using JPMorgan Ultra's stock options and short interest. It helps to benchmark the overall future attitude of investors towards JPMorgan using crowd psychology based on the activity and movement of JPMorgan Ultra's stock price.
JPMorgan Ultra Implied Volatility | 0.24 |
JPMorgan Ultra's implied volatility exposes the market's sentiment of JPMorgan Ultra Short Income stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if JPMorgan Ultra's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that JPMorgan Ultra stock will not fluctuate a lot when JPMorgan Ultra's options are near their expiration.
The Simple Regression forecasted value of JPMorgan Ultra Short Income on the next trading day is expected to be 50.73 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.76. JPMorgan Ultra after-hype prediction price | USD 50.7 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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Prediction based on Rule 16 of the current JPMorgan contract
Based on the Rule 16, the options market is currently suggesting that JPMorgan Ultra Short Income will have an average daily up or down price movement of about 0.015% per day over the life of the 2026-04-17 option contract. With JPMorgan Ultra trading at USD 50.7, that is roughly USD 0.007605 . If you think that the market is fully incorporating JPMorgan Ultra's daily price movement you should consider acquiring JPMorgan Ultra Short Income options at the current volatility level of 0.24%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 JPMorgan Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast JPMorgan 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 JPMorgan Ultra's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for JPMorgan 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 JPMorgan Ultra's open interest, investors have to compare it to JPMorgan 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 JPMorgan 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 JPMorgan. 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.
JPMorgan Ultra Additional Predictive Modules
Most predictive techniques to examine JPMorgan price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JPMorgan using various technical indicators. When you analyze JPMorgan charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
JPMorgan Ultra Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of JPMorgan Ultra Short Income on the next trading day is expected to be 50.73 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.76.Please note that although there have been many attempts to predict JPMorgan 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 JPMorgan Ultra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPMorgan Ultra Etf Forecast Pattern
| Backtest JPMorgan Ultra | JPMorgan Ultra Price Prediction | Buy or Sell Advice |
JPMorgan Ultra Forecasted Value
In the context of forecasting JPMorgan 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. JPMorgan Ultra's downside and upside margins for the forecasting period are 50.70 and 50.75, respectively. We have considered JPMorgan 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of JPMorgan Ultra etf data series using in forecasting. Note that when a statistical model is used to represent JPMorgan 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 | 111.6021 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0123 |
| MAPE | Mean absolute percentage error | 2.0E-4 |
| SAE | Sum of the absolute errors | 0.7646 |
Predictive Modules for JPMorgan 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 JPMorgan Ultra Short. 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 JPMorgan 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.
JPMorgan Ultra After-Hype Price Prediction Density Analysis
As far as predicting the price of JPMorgan Ultra at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in JPMorgan Ultra or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of JPMorgan Ultra, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
JPMorgan Ultra Estimiated After-Hype Price Volatility
In the context of predicting JPMorgan Ultra's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on JPMorgan Ultra's historical news coverage. JPMorgan Ultra's after-hype downside and upside margins for the prediction period are 50.67 and 50.73, respectively. We have considered JPMorgan Ultra's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
JPMorgan Ultra is very steady at this time. Analysis and calculation of next after-hype price of JPMorgan Ultra Short is based on 3 months time horizon.
JPMorgan Ultra Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as JPMorgan Ultra is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading JPMorgan Ultra backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with JPMorgan Ultra, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.02 | 0.03 | 0.00 | 0.01 | 7 Events / Month | 6 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
50.70 | 50.70 | 0.00 |
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JPMorgan Ultra Hype Timeline
JPMorgan Ultra Short is currently traded for 50.70. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.01. JPMorgan is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 150.0%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.02%. %. The volatility of related hype on JPMorgan Ultra is about 6.33%, with the expected price after the next announcement by competition of 50.69. The company has price-to-book ratio of 0.39. Some equities with similar Price to Book (P/B) outperform the market in the long run. Given the investment horizon of 90 days the next projected press release will be in about 7 days. Check out Historical Fundamental Analysis of JPMorgan Ultra to cross-verify your projections.JPMorgan Ultra Related Hype Analysis
Having access to credible news sources related to JPMorgan Ultra's direct competition is more important than ever and may enhance your ability to predict JPMorgan Ultra's future price movements. Getting to know how JPMorgan Ultra's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how JPMorgan Ultra may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DGRO | iShares Core Dividend | 0.12 | 9 per month | 0.43 | (0.03) | 1.05 | (0.88) | 2.73 | |
| JEPQ | JPMorgan Nasdaq Equity | 4.98 | 15 per month | 0.82 | (0.02) | 1.23 | (1.68) | 4.09 | |
| SMH | VanEck Semiconductor ETF | (0.08) | 10 per month | 1.83 | 0.08 | 2.96 | (3.61) | 8.51 | |
| VOT | Vanguard Mid Cap Growth | (1.74) | 6 per month | 0.00 | (0.13) | 1.25 | (1.75) | 3.93 | |
| VMGIX | Vanguard Mid Cap Growth | 4.98 | 2 per month | 0.00 | (0.13) | 1.26 | (1.75) | 3.76 | |
| VEUSX | Vanguard European Stock | (4.59) | 22 per month | 0.50 | 0.02 | 1.21 | (1.11) | 3.33 | |
| VOE | Vanguard Mid Cap Value | 0.77 | 10 per month | 0.53 | 0.03 | 1.28 | (1.19) | 3.27 | |
| VMLUX | Vanguard Limited Term Tax Exempt | 0.00 | 0 per month | 0.00 | (1.12) | 0.09 | (0.09) | 0.46 | |
| VGK | Vanguard FTSE Europe | (4.59) | 10 per month | 0.51 | 0.01 | 1.19 | (1.07) | 3.12 | |
| XLV | Health Care Select | (4.59) | 9 per month | 0.42 | 0.07 | 1.97 | (1.01) | 3.80 |
Other Forecasting Options for JPMorgan Ultra
For every potential investor in JPMorgan, whether a beginner or expert, JPMorgan Ultra's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. JPMorgan Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JPMorgan. Basic forecasting techniques help filter out the noise by identifying JPMorgan Ultra's price trends.JPMorgan 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 JPMorgan Ultra etf to make a market-neutral strategy. Peer analysis of JPMorgan Ultra could also be used in its relative valuation, which is a method of valuing JPMorgan Ultra by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPMorgan Ultra Market Strength Events
Market strength indicators help investors to evaluate how JPMorgan 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 JPMorgan Ultra shares will generate the highest return on investment. By undertsting and applying JPMorgan Ultra etf market strength indicators, traders can identify JPMorgan Ultra Short Income entry and exit signals to maximize returns.
| Accumulation Distribution | 1105.09 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 50.71 | |||
| Day Typical Price | 50.7 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
JPMorgan Ultra Risk Indicators
The analysis of JPMorgan 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 JPMorgan Ultra's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jpmorgan 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 | 0.0211 | |||
| Standard Deviation | 0.0275 | |||
| Variance | 8.0E-4 | |||
| Downside Variance | 0.0013 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.03) |
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 JPMorgan Ultra
The number of cover stories for JPMorgan Ultra depends on current market conditions and JPMorgan Ultra's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that JPMorgan Ultra is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about JPMorgan Ultra's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of JPMorgan Ultra to cross-verify your projections. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
The market value of JPMorgan Ultra Short is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan Ultra's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan 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 JPMorgan Ultra's market value can be influenced by many factors that don't directly affect JPMorgan 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 JPMorgan Ultra's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Ultra is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan 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.