Exchange Income Stock Forward View - Triple Exponential Smoothing
| EIF Stock | CAD 95.00 1.07 1.11% |
Exchange Stock outlook is based on your current time horizon. Although Exchange Income's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Exchange Income's systematic risk associated with finding meaningful patterns of Exchange Income fundamentals over time.
The relative strength index (RSI) of Exchange Income's stock price is about 65 suggesting that the stock 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 Exchange, making its price go up or down. Momentum 65
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.148 | EPS Estimate Next Quarter 1.1549 | EPS Estimate Current Year 3.5469 | EPS Estimate Next Year 4.1725 | Wall Street Target Price 101.6154 |
Using Exchange Income hype-based prediction, you can estimate the value of Exchange Income from the perspective of Exchange Income response to recently generated media hype and the effects of current headlines on its competitors.
The Triple Exponential Smoothing forecasted value of Exchange Income on the next trading day is expected to be 94.87 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 59.07. Exchange Income after-hype prediction price | CAD 95.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Exchange |
Exchange Income Additional Predictive Modules
Most predictive techniques to examine Exchange price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Exchange using various technical indicators. When you analyze Exchange 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 |
Exchange Income Triple Exponential Smoothing Price Forecast For the 3rd of February
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Exchange Income on the next trading day is expected to be 94.87 with a mean absolute deviation of 1.00, mean absolute percentage error of 1.85, and the sum of the absolute errors of 59.07.Please note that although there have been many attempts to predict Exchange Stock 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 Exchange Income's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Exchange Income Stock Forecast Pattern
| Backtest Exchange Income | Exchange Income Price Prediction | Research Analysis |
Exchange Income Forecasted Value
In the context of forecasting Exchange Income's Stock 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. Exchange Income's downside and upside margins for the forecasting period are 93.40 and 96.35, respectively. We have considered Exchange Income'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Exchange Income stock data series using in forecasting. Note that when a statistical model is used to represent Exchange Income stock, 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 | -0.1385 |
| MAD | Mean absolute deviation | 1.0012 |
| MAPE | Mean absolute percentage error | 0.012 |
| SAE | Sum of the absolute errors | 59.0691 |
Predictive Modules for Exchange Income
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Exchange Income. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Exchange Income After-Hype Price Density Analysis
As far as predicting the price of Exchange Income 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 Exchange Income 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 Stock prices, such as prices of Exchange Income, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Exchange Income Estimiated After-Hype Price Volatility
In the context of predicting Exchange Income's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Exchange Income's historical news coverage. Exchange Income's after-hype downside and upside margins for the prediction period are 93.53 and 96.47, respectively. We have considered Exchange Income'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
Exchange Income is very steady at this time. Analysis and calculation of next after-hype price of Exchange Income is based on 3 months time horizon.
Exchange Income Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Exchange Income is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Exchange Income 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 Stock 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 Exchange Income, 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 |
0.36 | 1.47 | 0.17 | 0.18 | 8 Events / Month | 2 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
95.00 | 95.00 | 0.00 |
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Exchange Income Hype Timeline
Exchange Income is currently traded for 95.00on Toronto Exchange of Canada. The entity has historical hype elasticity of 0.17, and average elasticity to hype of competition of -0.18. Exchange is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.36%. %. The volatility of related hype on Exchange Income is about 289.5%, with the expected price after the next announcement by competition of 94.82. The book value of the company was currently reported as 30.39. The company has Price/Earnings To Growth (PEG) ratio of 1.54. Exchange Income last dividend was issued on the 30th of January 2026. The entity had 1:20 split on the 10th of May 2004. Assuming the 90 days trading horizon the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Exchange Income to cross-verify your projections.Exchange Income Related Hype Analysis
Having access to credible news sources related to Exchange Income's direct competition is more important than ever and may enhance your ability to predict Exchange Income's future price movements. Getting to know how Exchange Income'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 Exchange Income may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SES | Secure Energy Services | 0.06 | 4 per month | 0.00 | (0.07) | 2.68 | (3.17) | 8.07 | |
| MDA | MDA | (0.31) | 9 per month | 3.65 | 0.05 | 6.46 | (5.29) | 19.11 | |
| AC | Air Canada | 0.42 | 9 per month | 1.50 | 0.02 | 2.59 | (2.51) | 8.29 | |
| ATS | ATS P | 1.97 | 5 per month | 2.23 | 0.01 | 3.79 | (3.99) | 17.51 | |
| BBU-UN | Brookfield Business Partners | 0.17 | 3 per month | 0.00 | (0.02) | 4.01 | (3.34) | 13.29 | |
| HPS-A | Hammond Power Solutions | (6.23) | 6 per month | 0.00 | (0.06) | 4.12 | (5.23) | 13.43 | |
| BDGI | Badger Infrastructure Solutions | (0.44) | 5 per month | 1.66 | 0.05 | 2.79 | (2.68) | 9.23 | |
| RUS | Russel Metals | (0.01) | 8 per month | 1.22 | 0.14 | 1.89 | (1.44) | 6.83 | |
| CHR | Chorus Aviation | (0.20) | 7 per month | 0.00 | (0.1) | 2.20 | (2.52) | 11.55 |
Other Forecasting Options for Exchange Income
For every potential investor in Exchange, whether a beginner or expert, Exchange Income's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Exchange Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Exchange. Basic forecasting techniques help filter out the noise by identifying Exchange Income's price trends.Exchange Income 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 Exchange Income stock to make a market-neutral strategy. Peer analysis of Exchange Income could also be used in its relative valuation, which is a method of valuing Exchange Income by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Exchange Income Market Strength Events
Market strength indicators help investors to evaluate how Exchange Income stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Exchange Income shares will generate the highest return on investment. By undertsting and applying Exchange Income stock market strength indicators, traders can identify Exchange Income entry and exit signals to maximize returns.
Exchange Income Risk Indicators
The analysis of Exchange Income'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 Exchange Income's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting exchange stock 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 | 1.09 | |||
| Semi Deviation | 0.9155 | |||
| Standard Deviation | 1.44 | |||
| Variance | 2.06 | |||
| Downside Variance | 1.73 | |||
| Semi Variance | 0.8381 | |||
| Expected Short fall | (1.21) |
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 Exchange Income
The number of cover stories for Exchange Income depends on current market conditions and Exchange Income's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Exchange Income 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 Exchange Income'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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Exchange Income Short Properties
Exchange Income's future price predictability will typically decrease when Exchange Income's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Exchange Income often depends not only on the future outlook of the potential Exchange Income'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. Exchange Income's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 52.8 M | |
| Cash And Short Term Investments | 71.8 M |
Other Information on Investing in Exchange Stock
Exchange Income financial ratios help investors to determine whether Exchange Stock 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 Exchange with respect to the benefits of owning Exchange Income security.