IPower Etf Forecast - Double Exponential Smoothing
| IPW Etf | USD 4.89 0.01 0.20% |
The Double Exponential Smoothing forecasted value of iPower Inc on the next trading day is expected to be 4.70 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 60.57. IPower Etf Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of IPower's share price is below 20 . This usually 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 |
Quarterly Earnings Growth 0.071 | Wall Street Target Price 2.75 | Quarterly Revenue Growth (0.41) |
Using IPower hype-based prediction, you can estimate the value of iPower Inc from the perspective of IPower response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of iPower Inc on the next trading day is expected to be 4.70 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 60.57. IPower after-hype prediction price | USD 5.28 |
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 Historical Fundamental Analysis of IPower to cross-verify your projections. IPower Additional Predictive Modules
Most predictive techniques to examine IPower price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for IPower using various technical indicators. When you analyze IPower 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 |
IPower Double Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of iPower Inc on the next trading day is expected to be 4.70 with a mean absolute deviation of 1.01, mean absolute percentage error of 3.62, and the sum of the absolute errors of 60.57.Please note that although there have been many attempts to predict IPower 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 IPower's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
IPower Etf Forecast Pattern
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IPower Forecasted Value
In the context of forecasting IPower'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. IPower's downside and upside margins for the forecasting period are 0.05 and 14.40, respectively. We have considered IPower'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of IPower etf data series using in forecasting. Note that when a statistical model is used to represent IPower 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.144 |
| MAD | Mean absolute deviation | 1.0094 |
| MAPE | Mean absolute percentage error | 0.0845 |
| SAE | Sum of the absolute errors | 60.565 |
Predictive Modules for IPower
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as iPower Inc. 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.IPower After-Hype Price Prediction Density Analysis
As far as predicting the price of IPower 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 IPower 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 IPower, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
IPower Estimiated After-Hype Price Volatility
In the context of predicting IPower's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on IPower's historical news coverage. IPower's after-hype downside and upside margins for the prediction period are 0.26 and 14.98, respectively. We have considered IPower'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
IPower is very risky at this time. Analysis and calculation of next after-hype price of iPower Inc is based on 3 months time horizon.
IPower Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as IPower is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading IPower 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 IPower, 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 |
2.04 | 9.70 | 0.39 | 0.19 | 22 Events / Month | 5 Events / Month | In about 22 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
4.89 | 5.28 | 7.98 |
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IPower Hype Timeline
On the 23rd of January iPower Inc is traded for 4.89. The entity has historical hype elasticity of 0.39, and average elasticity to hype of competition of 0.19. IPower is projected to increase in value after the next headline, with the price projected to jump to 5.28 or above. The average volatility of media hype impact on the company the price is over 100%. The price increase on the next news is projected to be 7.98%, whereas the daily expected return is currently at -2.04%. The volatility of related hype on IPower is about 10543.48%, with the expected price after the next announcement by competition of 5.08. The company has Net Profit Margin of (0.08) %, which means that it does not effectively control expenditures or properly executes on its pricing strategies. This is way below average. In the same way, it shows Net Operating Margin of (0.31) %, which entails that for every $100 of revenue, it lost $0.31. Considering the 90-day investment horizon the next projected press release will be in about 22 days. Check out Historical Fundamental Analysis of IPower to cross-verify your projections.IPower Related Hype Analysis
Having access to credible news sources related to IPower's direct competition is more important than ever and may enhance your ability to predict IPower's future price movements. Getting to know how IPower'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 IPower may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CGTL | Creative Global Technology | 0.19 | 10 per month | 8.64 | 0.21 | 31.58 | (16.47) | 149.10 | |
| YJ | Yunji Inc | (0.06) | 6 per month | 0.00 | (0.20) | 5.96 | (7.45) | 19.76 | |
| YYGH | YY Group Holding | (0.02) | 10 per month | 0.00 | (0.09) | 7.69 | (8.33) | 30.95 | |
| LOBO | LOBO EV TECHNOLOGIES | 0.03 | 7 per month | 0.00 | (0.06) | 13.64 | (11.63) | 48.41 | |
| UCAR | U Power Limited | 0.02 | 8 per month | 0.00 | (0.12) | 4.79 | (5.00) | 16.39 | |
| REBN | Reborn Coffee | 0.22 | 8 per month | 0.00 | (0.03) | 11.95 | (9.04) | 27.14 | |
| AZI | Autozi Internet Technology | (0.80) | 11 per month | 0.00 | (0.04) | 21.43 | (17.87) | 88.70 | |
| BYAH | Park Ha Biological | (0.01) | 3 per month | 0.00 | (0.28) | 6.67 | (7.69) | 24.00 | |
| FGI | FGI Industries | 1.36 | 7 per month | 8.04 | 0.08 | 16.73 | (14.12) | 60.50 | |
| CENN | Cenntro Electric Group | (0.01) | 4 per month | 0.00 | (0.06) | 13.33 | (6.67) | 24.81 |
Other Forecasting Options for IPower
For every potential investor in IPower, whether a beginner or expert, IPower's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IPower Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IPower. Basic forecasting techniques help filter out the noise by identifying IPower's price trends.IPower 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 IPower etf to make a market-neutral strategy. Peer analysis of IPower could also be used in its relative valuation, which is a method of valuing IPower by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
IPower Market Strength Events
Market strength indicators help investors to evaluate how IPower etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading IPower shares will generate the highest return on investment. By undertsting and applying IPower etf market strength indicators, traders can identify iPower Inc entry and exit signals to maximize returns.
| Accumulation Distribution | 13874.8 | |||
| Daily Balance Of Power | (0.02) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 4.75 | |||
| Day Typical Price | 4.8 | |||
| Price Action Indicator | 0.13 | |||
| Period Momentum Indicator | (0.01) |
IPower Risk Indicators
The analysis of IPower'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 IPower's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ipower 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 | 6.88 | |||
| Standard Deviation | 9.93 | |||
| Variance | 98.68 |
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 IPower
The number of cover stories for IPower depends on current market conditions and IPower's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that IPower 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 IPower'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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IPower Short Properties
IPower's future price predictability will typically decrease when IPower's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of iPower Inc often depends not only on the future outlook of the potential IPower's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. IPower's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1 M | |
| Cash And Short Term Investments | 2 M |
Other Information on Investing in IPower Etf
IPower financial ratios help investors to determine whether IPower Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in IPower with respect to the benefits of owning IPower security.