FT AlphaDEX Etf Forward View
| FHG Etf | CAD 64.61 0.38 0.59% |
FHG Etf outlook is based on your current time horizon.
As of today the relative strength momentum indicator of FT AlphaDEX'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 |
Using FT AlphaDEX hype-based prediction, you can estimate the value of FT AlphaDEX Industrials from the perspective of FT AlphaDEX response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of FT AlphaDEX Industrials on the next trading day is expected to be 67.06 with a mean absolute deviation of 0.81 and the sum of the absolute errors of 50.19. FT AlphaDEX after-hype prediction price | CAD 64.6 |
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.
FHG |
FT AlphaDEX Additional Predictive Modules
Most predictive techniques to examine FHG price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FHG using various technical indicators. When you analyze FHG 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 |
FT AlphaDEX Naive Prediction Price Forecast For the 15th of February 2026
Given 90 days horizon, the Naive Prediction forecasted value of FT AlphaDEX Industrials on the next trading day is expected to be 67.06 with a mean absolute deviation of 0.81, mean absolute percentage error of 1.01, and the sum of the absolute errors of 50.19.Please note that although there have been many attempts to predict FHG 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 FT AlphaDEX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FT AlphaDEX Etf Forecast Pattern
| Backtest FT AlphaDEX | FT AlphaDEX Price Prediction | Research Analysis |
FT AlphaDEX Forecasted Value
In the context of forecasting FT AlphaDEX'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. FT AlphaDEX's downside and upside margins for the forecasting period are 65.73 and 68.38, respectively. We have considered FT AlphaDEX'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of FT AlphaDEX etf data series using in forecasting. Note that when a statistical model is used to represent FT AlphaDEX 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 | 119.9629 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8096 |
| MAPE | Mean absolute percentage error | 0.0134 |
| SAE | Sum of the absolute errors | 50.1947 |
Predictive Modules for FT AlphaDEX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FT AlphaDEX Industrials. 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.FT AlphaDEX After-Hype Price Density Analysis
As far as predicting the price of FT AlphaDEX 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 FT AlphaDEX 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 FT AlphaDEX, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FT AlphaDEX Estimiated After-Hype Price Volatility
In the context of predicting FT AlphaDEX's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FT AlphaDEX's historical news coverage. FT AlphaDEX's after-hype downside and upside margins for the prediction period are 63.27 and 65.93, respectively. We have considered FT AlphaDEX'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
FT AlphaDEX is very steady at this time. Analysis and calculation of next after-hype price of FT AlphaDEX Industrials is based on 3 months time horizon.
FT AlphaDEX Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as FT AlphaDEX is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FT AlphaDEX 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 FT AlphaDEX, 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 |
0.27 | 1.33 | 0.01 | 0.00 | 3 Events / Month | 2 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
64.61 | 64.60 | 0.02 |
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FT AlphaDEX Hype Timeline
FT AlphaDEX Industrials is currently traded for 64.61on Toronto Exchange of Canada. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.0. FHG is forecasted to decline in value after the next headline, with the price expected to drop to 64.6. The average volatility of media hype impact on the company price is over 100%. The price drop on the next news is expected to be -0.02%, whereas the daily expected return is currently at 0.27%. The volatility of related hype on FT AlphaDEX is about 12090.91%, with the expected price after the next announcement by competition of 64.61. The company last dividend was issued on the 27th of September 1970. Assuming the 90 days trading horizon the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of FT AlphaDEX to cross-verify your projections.FT AlphaDEX Related Hype Analysis
Having access to credible news sources related to FT AlphaDEX's direct competition is more important than ever and may enhance your ability to predict FT AlphaDEX's future price movements. Getting to know how FT AlphaDEX'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 FT AlphaDEX may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GCNS | iShares ESG Conservative | (0.65) | 2 per month | 0.00 | (0.16) | 0.76 | (0.67) | 2.07 | |
| EQCL | Global X Enhanced | 0.03 | 5 per month | 0.68 | (0.04) | 1.23 | (1.16) | 3.03 | |
| XMS | iShares Edge MSCI | 0.11 | 6 per month | 0.40 | (0.06) | 0.98 | (0.70) | 2.91 | |
| BASE | Evolve Global Materials | 0.01 | 4 per month | 0.97 | 0.24 | 2.34 | (2.43) | 6.73 | |
| FHQ | First Trust AlphaDEX | 0.08 | 5 per month | 0.00 | (0.09) | 2.19 | (2.71) | 8.48 | |
| DRMC | Desjardins RI Canada | 0.08 | 3 per month | 0.92 | 0.07 | 1.40 | (1.94) | 4.90 | |
| EDGE | Evolve Innovation Index | 0.14 | 7 per month | 0.00 | (0.20) | 1.29 | (2.09) | 4.57 | |
| CFOU | BetaPro SPTSX Capped | (0.21) | 5 per month | 1.24 | 0.12 | 2.78 | (2.09) | 6.00 | |
| QQCI | Invesco NASDAQ 100 | (0.04) | 3 per month | 0.00 | (0.16) | 1.14 | (1.30) | 3.88 | |
| ZXM | First Asset Morningstar | 0.34 | 1 per month | 0.38 | 0.13 | 1.66 | (0.87) | 3.40 |
Other Forecasting Options for FT AlphaDEX
For every potential investor in FHG, whether a beginner or expert, FT AlphaDEX's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FHG Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FHG. Basic forecasting techniques help filter out the noise by identifying FT AlphaDEX's price trends.FT AlphaDEX 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 FT AlphaDEX etf to make a market-neutral strategy. Peer analysis of FT AlphaDEX could also be used in its relative valuation, which is a method of valuing FT AlphaDEX by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FT AlphaDEX Market Strength Events
Market strength indicators help investors to evaluate how FT AlphaDEX etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FT AlphaDEX shares will generate the highest return on investment. By undertsting and applying FT AlphaDEX etf market strength indicators, traders can identify FT AlphaDEX Industrials entry and exit signals to maximize returns.
FT AlphaDEX Risk Indicators
The analysis of FT AlphaDEX'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 FT AlphaDEX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fhg 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 | 0.9945 | |||
| Semi Deviation | 0.7283 | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.75 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.5304 | |||
| Expected Short fall | (1.22) |
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 FT AlphaDEX
The number of cover stories for FT AlphaDEX depends on current market conditions and FT AlphaDEX's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that FT AlphaDEX 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 FT AlphaDEX'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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Other Information on Investing in FHG Etf
FT AlphaDEX financial ratios help investors to determine whether FHG 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 FHG with respect to the benefits of owning FT AlphaDEX security.