Financial Etf Forecast - Double Exponential Smoothing
| FTN Etf | CAD 10.99 0.04 0.37% |
Financial Etf outlook is based on your current time horizon.
The relative strength momentum indicator of Financial's etf price is about 62. This usually indicates that the etf is rather overbought by investors as of today. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Financial, making its price go up or down. Momentum 62
Buy Extended
Oversold | Overbought |
Using Financial hype-based prediction, you can estimate the value of Financial 15 Split from the perspective of Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Financial 15 Split on the next trading day is expected to be 11.00 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.36. Financial after-hype prediction price | CAD 11.0 |
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.
Financial |
Financial Additional Predictive Modules
Most predictive techniques to examine Financial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Financial using various technical indicators. When you analyze Financial 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 |
Financial Double Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Financial 15 Split on the next trading day is expected to be 11.00 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.36.Please note that although there have been many attempts to predict Financial 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 Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Financial Etf Forecast Pattern
| Backtest Financial | Financial Price Prediction | Buy or Sell Advice |
Financial Forecasted Value
In the context of forecasting Financial'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. Financial's downside and upside margins for the forecasting period are 10.03 and 11.96, respectively. We have considered Financial'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 Financial etf data series using in forecasting. Note that when a statistical model is used to represent Financial 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 | -0.0087 |
| MAD | Mean absolute deviation | 0.0727 |
| MAPE | Mean absolute percentage error | 0.007 |
| SAE | Sum of the absolute errors | 4.3598 |
Predictive Modules for Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Financial 15 Split. 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.Financial After-Hype Price Density Analysis
As far as predicting the price of Financial 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 Financial 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 Financial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Financial Estimiated After-Hype Price Volatility
In the context of predicting Financial's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Financial's historical news coverage. Financial's after-hype downside and upside margins for the prediction period are 10.03 and 11.97, respectively. We have considered Financial'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
Financial is very steady at this time. Analysis and calculation of next after-hype price of Financial 15 Split is based on 3 months time horizon.
Financial Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Financial 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 Financial, 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 |
0.20 | 0.97 | 0.01 | 0.02 | 5 Events / Month | 2 Events / Month | In about 5 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
10.99 | 11.00 | 0.09 |
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Financial Hype Timeline
Financial 15 Split is currently traded for 10.99on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.02. Financial is estimated to increase in value after the next headline, with the price projected to jump to 11.0 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is estimated to be 0.09%, whereas the daily expected return is currently at 0.2%. The volatility of related hype on Financial is about 1265.22%, with the expected price after the next announcement by competition of 11.01. Net Loss for the year was (27.11 M) with profit before overhead, payroll, taxes, and interest of 1.81 M. Assuming the 90 days trading horizon the next estimated press release will be in about 5 days. Check out Historical Fundamental Analysis of Financial to cross-verify your projections.Financial Related Hype Analysis
Having access to credible news sources related to Financial's direct competition is more important than ever and may enhance your ability to predict Financial's future price movements. Getting to know how Financial'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 Financial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DFN | Dividend 15 Split | (0.03) | 5 per month | 0.49 | 0.24 | 1.47 | (0.63) | 4.59 | |
| BK | Canadian Banc Corp | 0.13 | 4 per month | 0.21 | 0.17 | 1.65 | (1.11) | 8.91 | |
| FFN | North American Financial | 0.03 | 1 per month | 1.32 | 0.16 | 2.13 | (1.43) | 7.67 | |
| LBS | Life Banc Split | 0.06 | 5 per month | 0.92 | 0.1 | 1.85 | (1.56) | 4.94 | |
| CGI | Canadian General Investments | 0.47 | 7 per month | 0.39 | 0.09 | 1.52 | (0.96) | 3.60 | |
| FSZ | Fiera Capital | 0.04 | 9 per month | 1.17 | (0.01) | 1.62 | (1.62) | 8.88 | |
| SEC | Senvest Capital | 0.00 | 7 per month | 0.00 | (0.10) | 0.94 | (1.62) | 8.01 | |
| AGF-B | AGF Management Limited | (0.02) | 8 per month | 0.78 | 0.24 | 2.72 | (1.87) | 7.88 | |
| ECN | ECN Capital Corp | 0.01 | 10 per month | 0.90 | (0.01) | 1.11 | (1.46) | 13.31 |
Other Forecasting Options for Financial
For every potential investor in Financial, whether a beginner or expert, Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Financial Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Financial. Basic forecasting techniques help filter out the noise by identifying Financial's price trends.Financial 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 Financial etf to make a market-neutral strategy. Peer analysis of Financial could also be used in its relative valuation, which is a method of valuing Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Financial Market Strength Events
Market strength indicators help investors to evaluate how Financial etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Financial shares will generate the highest return on investment. By undertsting and applying Financial etf market strength indicators, traders can identify Financial 15 Split entry and exit signals to maximize returns.
Financial Risk Indicators
The analysis of Financial'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 Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting financial 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 | 0.6515 | |||
| Semi Deviation | 0.4535 | |||
| Standard Deviation | 0.9549 | |||
| Variance | 0.9118 | |||
| Downside Variance | 0.71 | |||
| Semi Variance | 0.2056 | |||
| Expected Short fall | (0.79) |
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 Financial
The number of cover stories for Financial depends on current market conditions and Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Financial 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 Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Other Information on Investing in Financial Etf
Financial financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial security.