JPI Etf Forecast - 4 Period Moving Average
| JPI Etf | USD 20.33 0.00 0.00% |
JPI Etf outlook is based on your current time horizon. We recommend always using this module together with an analysis of JPI's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 26th of January 2026, the relative strength momentum indicator of JPI's share price is approaching 49. This indicates that the etf is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling JPI, making its price go up or down. Momentum 49
Impartial
Oversold | Overbought |
Using JPI hype-based prediction, you can estimate the value of JPI from the perspective of JPI response to recently generated media hype and the effects of current headlines on its competitors.
The 4 Period Moving Average forecasted value of JPI on the next trading day is expected to be 20.50 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.61. JPI after-hype prediction price | $ 20.33 |
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.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation. JPI Additional Predictive Modules
Most predictive techniques to examine JPI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JPI using various technical indicators. When you analyze JPI 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 |
JPI 4 Period Moving Average Price Forecast For the 27th of January
Given 90 days horizon, the 4 Period Moving Average forecasted value of JPI on the next trading day is expected to be 20.50 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.61.Please note that although there have been many attempts to predict JPI 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 JPI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JPI Etf Forecast Pattern
| Backtest JPI | JPI Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of JPI etf data series using in forecasting. Note that when a statistical model is used to represent JPI 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 | 106.3031 |
| Bias | Arithmetic mean of the errors | -0.0085 |
| MAD | Mean absolute deviation | 0.0809 |
| MAPE | Mean absolute percentage error | 0.004 |
| SAE | Sum of the absolute errors | 4.61 |
Predictive Modules for JPI
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPI. 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.JPI After-Hype Price Density Analysis
As far as predicting the price of JPI 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 JPI 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 JPI, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
JPI Estimiated After-Hype Price Volatility
In the context of predicting JPI's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on JPI's historical news coverage. JPI's after-hype downside and upside margins for the prediction period are 20.33 and 20.33, respectively. We have considered JPI'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
JPI is very steady at this time. Analysis and calculation of next after-hype price of JPI is based on 3 months time horizon.
JPI Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as JPI is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading JPI 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 JPI, 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 |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
20.33 | 20.33 | 0.00 |
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JPI Hype Timeline
On the 26th of January JPI is traded for 20.33. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. JPI 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 insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on JPI is about 0.0%, with the expected price after the next announcement by competition of 20.33. About 16.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 13th of October 2022. Considering the 90-day investment horizon the next projected press release will be uncertain. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation.JPI Related Hype Analysis
Having access to credible news sources related to JPI's direct competition is more important than ever and may enhance your ability to predict JPI's future price movements. Getting to know how JPI'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 JPI may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MCA | Blackrock Muniyield California | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NBQFX | Nuveen International Growth | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FCPEX | Fidelity Small Cap | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MYJ | Blackrock Muniyield New | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PHT | PHT | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| JRO | Nuveen Floating Rate | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HIE | Millerhoward High Income | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HFOQX | Janus Henderson Intl | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HFOAX | Henderson International Opportunities | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| HFOSX | Henderson Intl Opport | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
JPI 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 JPI etf to make a market-neutral strategy. Peer analysis of JPI could also be used in its relative valuation, which is a method of valuing JPI by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JPI Market Strength Events
Market strength indicators help investors to evaluate how JPI etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JPI shares will generate the highest return on investment. By undertsting and applying JPI etf market strength indicators, traders can identify JPI entry and exit signals to maximize returns.
Story Coverage note for JPI
The number of cover stories for JPI depends on current market conditions and JPI's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that JPI 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 JPI'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 Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
The market value of JPI is measured differently than its book value, which is the value of JPI that is recorded on the company's balance sheet. Investors also form their own opinion of JPI's value that differs from its market value or its book value, called intrinsic value, which is JPI'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 JPI's market value can be influenced by many factors that don't directly affect JPI'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 JPI's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPI'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.