Precidian ETFs Etf Forward View - Polynomial Regression
| TMH Etf | 63.04 1.73 2.67% |
Precidian Etf outlook is based on your current time horizon. We suggest always using this module together with an analysis of Precidian ETFs' historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 12th of February 2026 the relative strength momentum indicator of Precidian ETFs' share price is below 20 . This usually implies 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 Precidian ETFs hype-based prediction, you can estimate the value of Precidian ETFs Trust from the perspective of Precidian ETFs response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Precidian ETFs Trust on the next trading day is expected to be 63.23 with a mean absolute deviation of 1.20 and the sum of the absolute errors of 72.94. Precidian ETFs after-hype prediction price | USD 62.52 |
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.
Precidian | Build AI portfolio with Precidian Etf |
Precidian ETFs Additional Predictive Modules
Most predictive techniques to examine Precidian price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Precidian using various technical indicators. When you analyze Precidian 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 |
Precidian ETFs Polynomial Regression Price Forecast For the 13th of February 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Precidian ETFs Trust on the next trading day is expected to be 63.23 with a mean absolute deviation of 1.20, mean absolute percentage error of 2.26, and the sum of the absolute errors of 72.94.Please note that although there have been many attempts to predict Precidian 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 Precidian ETFs' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Precidian ETFs Etf Forecast Pattern
| Backtest Precidian ETFs | Precidian ETFs Price Prediction | Research Analysis |
Precidian ETFs Forecasted Value
In the context of forecasting Precidian ETFs' 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. Precidian ETFs' downside and upside margins for the forecasting period are 61.43 and 65.03, respectively. We have considered Precidian ETFs' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Precidian ETFs etf data series using in forecasting. Note that when a statistical model is used to represent Precidian ETFs 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 | 118.9244 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1957 |
| MAPE | Mean absolute percentage error | 0.0205 |
| SAE | Sum of the absolute errors | 72.9374 |
Predictive Modules for Precidian ETFs
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Precidian ETFs Trust. 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.Precidian ETFs After-Hype Price Density Analysis
As far as predicting the price of Precidian ETFs 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 Precidian ETFs 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 Precidian ETFs, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Precidian ETFs Estimiated After-Hype Price Volatility
In the context of predicting Precidian ETFs' etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Precidian ETFs' historical news coverage. Precidian ETFs' after-hype downside and upside margins for the prediction period are 60.72 and 64.32, respectively. We have considered Precidian ETFs' 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Precidian ETFs is very steady at this time. Analysis and calculation of next after-hype price of Precidian ETFs Trust is based on 3 months time horizon.
Precidian ETFs Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Precidian ETFs is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Precidian ETFs 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 Precidian ETFs, 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 |
0.30 | 1.80 | 0.52 | 0.02 | 2 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
63.04 | 62.52 | 0.82 |
|
Precidian ETFs Hype Timeline
On the 12th of February 2026 Precidian ETFs Trust is traded for 63.04. The entity has historical hype elasticity of -0.52, and average elasticity to hype of competition of 0.02. Precidian is expected to decline in value after the next headline, with the price expected to drop to 62.52. The average volatility of media hype impact on the company price is about 104.05%. The price depreciation on the next news is expected to be -0.82%, whereas the daily expected return is at this time at 0.3%. The volatility of related hype on Precidian ETFs is about 2880.0%, with the expected price after the next announcement by competition of 63.06. About 99.0% of the company shares are owned by institutional investors. The book value of Precidian ETFs was at this time reported as 8.65. The company has Price/Earnings (P/E) ratio of 159.07. Precidian ETFs Trust had not issued any dividends in recent years. Considering the 90-day investment horizon the next expected press release will be in a few days. Check out Historical Fundamental Analysis of Precidian ETFs to cross-verify your projections.Precidian ETFs Related Hype Analysis
Having access to credible news sources related to Precidian ETFs' direct competition is more important than ever and may enhance your ability to predict Precidian ETFs' future price movements. Getting to know how Precidian ETFs' 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 Precidian ETFs may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| QHDG | Innovator Hedged Nasdaq 100 | 0.06 | 1 per month | 0.72 | (0.11) | 1.30 | (1.30) | 3.55 | |
| ASCE | Allspring Exchange Traded Funds | 0.29 | 1 per month | 0.83 | 0.07 | 1.65 | (1.76) | 4.61 | |
| CEW | WisdomTree Emerging Currency | (0.02) | 3 per month | 0.06 | (0.1) | 0.57 | (0.32) | 1.75 | |
| EQRR | ProShares Equities for | 0.00 | 0 per month | 0.87 | 0.07 | 1.54 | (1.80) | 4.11 | |
| JHID | John Hancock Exchange Traded | (0.01) | 1 per month | 0.19 | 0.23 | 1.21 | (0.79) | 3.46 | |
| INDE | Matthews International Funds | 0.11 | 2 per month | 0.00 | (0.13) | 1.20 | (1.41) | 4.78 | |
| GENM | Spinnaker ETF Series | 0.01 | 1 per month | 0.00 | (0.64) | 0.20 | (0.10) | 0.58 | |
| EBIT | Harbor ETF Trust | 0.06 | 8 per month | 0.59 | 0.09 | 2.39 | (1.60) | 4.82 |
Other Forecasting Options for Precidian ETFs
For every potential investor in Precidian, whether a beginner or expert, Precidian ETFs' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Precidian Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Precidian. Basic forecasting techniques help filter out the noise by identifying Precidian ETFs' price trends.Precidian ETFs 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 Precidian ETFs etf to make a market-neutral strategy. Peer analysis of Precidian ETFs could also be used in its relative valuation, which is a method of valuing Precidian ETFs by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Precidian ETFs Market Strength Events
Market strength indicators help investors to evaluate how Precidian ETFs etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Precidian ETFs shares will generate the highest return on investment. By undertsting and applying Precidian ETFs etf market strength indicators, traders can identify Precidian ETFs Trust entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 63.04 | |||
| Day Typical Price | 63.04 | |||
| Price Action Indicator | (0.86) | |||
| Period Momentum Indicator | (1.73) |
Precidian ETFs Risk Indicators
The analysis of Precidian ETFs' 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 Precidian ETFs' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting precidian 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 | 1.39 | |||
| Semi Deviation | 1.28 | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.07 | |||
| Downside Variance | 2.2 | |||
| Semi Variance | 1.65 | |||
| Expected Short fall | (1.63) |
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 Precidian ETFs
The number of cover stories for Precidian ETFs depends on current market conditions and Precidian ETFs' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Precidian ETFs 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 Precidian ETFs' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Check out Historical Fundamental Analysis of Precidian ETFs to cross-verify your projections. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Precidian ETFs Trust's market price often diverges from its book value, the accounting figure shown on Precidian's balance sheet. Smart investors calculate Precidian ETFs' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Since Precidian ETFs' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between Precidian ETFs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Precidian ETFs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Precidian ETFs' 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.