Metalpha Technology Etf Forecast - Simple Regression
| MATH Etf | USD 2.12 0.06 2.75% |
The Simple Regression forecasted value of Metalpha Technology Holding on the next trading day is expected to be 2.18 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.31. Metalpha Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Metalpha Technology's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the relative strength index (rsi) of Metalpha Technology'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 |
Quarterly Earnings Growth 72.016 | Quarterly Revenue Growth 1.128 |
Using Metalpha Technology hype-based prediction, you can estimate the value of Metalpha Technology Holding from the perspective of Metalpha Technology response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Metalpha Technology Holding on the next trading day is expected to be 2.18 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.31. Metalpha Technology after-hype prediction price | USD 2.09 |
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.
Metalpha | Build AI portfolio with Metalpha Etf |
Metalpha Technology Additional Predictive Modules
Most predictive techniques to examine Metalpha price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Metalpha using various technical indicators. When you analyze Metalpha 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 |
Metalpha Technology Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Metalpha Technology Holding on the next trading day is expected to be 2.18 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.31.Please note that although there have been many attempts to predict Metalpha 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 Metalpha Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Metalpha Technology Etf Forecast Pattern
| Backtest Metalpha Technology | Metalpha Technology Price Prediction | Buy or Sell Advice |
Metalpha Technology Forecasted Value
In the context of forecasting Metalpha Technology'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. Metalpha Technology's downside and upside margins for the forecasting period are 0.02 and 6.94, respectively. We have considered Metalpha Technology'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 Metalpha Technology etf data series using in forecasting. Note that when a statistical model is used to represent Metalpha Technology 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 | 114.631 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1362 |
| MAPE | Mean absolute percentage error | 0.0516 |
| SAE | Sum of the absolute errors | 8.3058 |
Predictive Modules for Metalpha Technology
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Metalpha Technology. 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 Metalpha Technology'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.
Metalpha Technology After-Hype Price Prediction Density Analysis
As far as predicting the price of Metalpha Technology 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 Metalpha Technology 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 Metalpha Technology, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Metalpha Technology Estimiated After-Hype Price Volatility
In the context of predicting Metalpha Technology's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Metalpha Technology's historical news coverage. Metalpha Technology's after-hype downside and upside margins for the prediction period are 0.10 and 6.89, respectively. We have considered Metalpha Technology'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
Metalpha Technology is very risky at this time. Analysis and calculation of next after-hype price of Metalpha Technology is based on 3 months time horizon.
Metalpha Technology Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as Metalpha Technology is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Metalpha Technology 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 Metalpha Technology, 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 |
0.53 | 4.76 | 0.03 | 0.12 | 6 Events / Month | 7 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
2.12 | 2.09 | 1.42 |
|
Metalpha Technology Hype Timeline
Metalpha Technology is now traded for 2.12. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of 0.12. Metalpha is anticipated to decline in value after the next headline, with the price expected to drop to 2.09. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.42%, whereas the daily expected return is now at -0.53%. The volatility of related hype on Metalpha Technology is about 2069.57%, with the expected price after the next announcement by competition of 2.24. About 34.0% of the company outstanding shares are owned by corporate insiders. The book value of Metalpha Technology was now reported as 0.94. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next anticipated press release will be in about 6 days. Check out Historical Fundamental Analysis of Metalpha Technology to cross-verify your projections.Metalpha Technology Related Hype Analysis
Having access to credible news sources related to Metalpha Technology's direct competition is more important than ever and may enhance your ability to predict Metalpha Technology's future price movements. Getting to know how Metalpha Technology'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 Metalpha Technology may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SRFM | Surf Air Mobility | (0.11) | 11 per month | 0.00 | (0.12) | 10.58 | (7.94) | 33.47 | |
| IRS | IRSA Inversiones Y | 0.27 | 34 per month | 1.59 | 0.16 | 3.98 | (2.98) | 36.65 | |
| ESP | Espey Mfg Electronics | 0.66 | 7 per month | 1.61 | 0.23 | 4.38 | (2.73) | 10.00 | |
| SNT | Senstar Technologies | 0.10 | 9 per month | 5.11 | 0 | 8.66 | (7.90) | 32.07 | |
| HQI | Hirequest | 0.86 | 9 per month | 2.57 | 0.11 | 8.40 | (4.99) | 23.30 | |
| OPXS | Optex Systems Holdings | 0.27 | 8 per month | 4.13 | (0.02) | 6.87 | (6.88) | 20.79 | |
| RITR | Reitar Logtech Holdings | 0.15 | 23 per month | 0.00 | (0.09) | 12.50 | (9.70) | 39.01 | |
| ULBI | Ultralife | (0.01) | 17 per month | 3.38 | (0.02) | 5.84 | (5.82) | 18.64 | |
| HURC | Hurco Companies | 0.15 | 6 per month | 0.00 | (0.08) | 3.18 | (3.44) | 11.27 | |
| EGG | ENIGMATIG LIMITED | (0.04) | 6 per month | 6.15 | 0.05 | 10.82 | (12.22) | 53.63 |
Other Forecasting Options for Metalpha Technology
For every potential investor in Metalpha, whether a beginner or expert, Metalpha Technology's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Metalpha Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Metalpha. Basic forecasting techniques help filter out the noise by identifying Metalpha Technology's price trends.Metalpha Technology 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 Metalpha Technology etf to make a market-neutral strategy. Peer analysis of Metalpha Technology could also be used in its relative valuation, which is a method of valuing Metalpha Technology by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Metalpha Technology Market Strength Events
Market strength indicators help investors to evaluate how Metalpha Technology etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Metalpha Technology shares will generate the highest return on investment. By undertsting and applying Metalpha Technology etf market strength indicators, traders can identify Metalpha Technology Holding entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 2.12 | |||
| Day Typical Price | 2.12 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.06) |
Metalpha Technology Risk Indicators
The analysis of Metalpha Technology'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 Metalpha Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting metalpha 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 | 3.66 | |||
| Standard Deviation | 4.74 | |||
| Variance | 22.45 |
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 Metalpha Technology
The number of cover stories for Metalpha Technology depends on current market conditions and Metalpha Technology's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Metalpha Technology 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 Metalpha Technology's 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
Metalpha Technology Short Properties
Metalpha Technology's future price predictability will typically decrease when Metalpha Technology's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Metalpha Technology Holding often depends not only on the future outlook of the potential Metalpha Technology'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. Metalpha Technology's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 38.5 M | |
| Cash And Short Term Investments | 20.7 M |
Other Information on Investing in Metalpha Etf
Metalpha Technology financial ratios help investors to determine whether Metalpha 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 Metalpha with respect to the benefits of owning Metalpha Technology security.