Hamilton Financials Etf Forecast - 4 Period Moving Average
| FMAX Etf | 18.57 0.11 0.60% |
The 4 Period Moving Average forecasted value of Hamilton Financials YIELD on the next trading day is expected to be 18.50 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.02. Hamilton Etf Forecast is based on your current time horizon.
As of today, the relative strength momentum indicator of Hamilton Financials' share price is approaching 48. This usually indicates that the etf is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Hamilton Financials, making its price go up or down. Momentum 48
Impartial
Oversold | Overbought |
Using Hamilton Financials hype-based prediction, you can estimate the value of Hamilton Financials YIELD from the perspective of Hamilton Financials response to recently generated media hype and the effects of current headlines on its competitors.
The 4 Period Moving Average forecasted value of Hamilton Financials YIELD on the next trading day is expected to be 18.50 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.02. Hamilton Financials after-hype prediction price | CAD 18.57 |
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.
Hamilton |
Hamilton Financials Additional Predictive Modules
Most predictive techniques to examine Hamilton price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hamilton using various technical indicators. When you analyze Hamilton 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 |
Hamilton Financials 4 Period Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the 4 Period Moving Average forecasted value of Hamilton Financials YIELD on the next trading day is expected to be 18.50 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.02.Please note that although there have been many attempts to predict Hamilton 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 Hamilton Financials' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hamilton Financials Etf Forecast Pattern
| Backtest Hamilton Financials | Hamilton Financials Price Prediction | Buy or Sell Advice |
Hamilton Financials Forecasted Value
In the context of forecasting Hamilton Financials' 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. Hamilton Financials' downside and upside margins for the forecasting period are 17.66 and 19.33, respectively. We have considered Hamilton Financials' 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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Hamilton Financials etf data series using in forecasting. Note that when a statistical model is used to represent Hamilton Financials 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 | 109.4382 |
| Bias | Arithmetic mean of the errors | -0.0253 |
| MAD | Mean absolute deviation | 0.1556 |
| MAPE | Mean absolute percentage error | 0.0084 |
| SAE | Sum of the absolute errors | 9.025 |
Predictive Modules for Hamilton Financials
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hamilton Financials YIELD. 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.Hamilton Financials After-Hype Price Prediction Density Analysis
As far as predicting the price of Hamilton Financials 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 Hamilton Financials 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 Hamilton Financials, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hamilton Financials Estimiated After-Hype Price Volatility
In the context of predicting Hamilton Financials' etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hamilton Financials' historical news coverage. Hamilton Financials' after-hype downside and upside margins for the prediction period are 17.74 and 19.40, respectively. We have considered Hamilton Financials' 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
Hamilton Financials is very steady at this time. Analysis and calculation of next after-hype price of Hamilton Financials YIELD is based on 3 months time horizon.
Hamilton Financials Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as Hamilton Financials is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hamilton Financials 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 Hamilton Financials, 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 |
0.03 | 0.84 | 0.00 | 0.00 | 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 | ||
18.57 | 18.57 | 0.00 |
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Hamilton Financials Hype Timeline
Hamilton Financials YIELD is currently traded for 18.57on Toronto Exchange of Canada. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Hamilton is estimated 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 estimated to be very small, whereas the daily expected return is currently at 0.03%. %. The volatility of related hype on Hamilton Financials is about 3360.0%, with the expected price after the next announcement by competition of 18.57. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next estimated press release will be in about 5 days. Check out Historical Fundamental Analysis of Hamilton Financials to cross-verify your projections.Hamilton Financials Related Hype Analysis
Having access to credible news sources related to Hamilton Financials' direct competition is more important than ever and may enhance your ability to predict Hamilton Financials' future price movements. Getting to know how Hamilton Financials' 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 Hamilton Financials may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LMAX | Hamilton Healthcare YIELD | (0.01) | 5 per month | 0.64 | (0.02) | 1.79 | (1.19) | 4.05 | |
| PYF | Purpose Premium Yield | (0.20) | 9 per month | 0.00 | (0.73) | 0.24 | (0.29) | 0.77 | |
| EQLI | Invesco SP 500 | (0.07) | 7 per month | 0.48 | (0.1) | 1.11 | (0.90) | 2.95 | |
| BKCL | Global X Enhanced | 0.13 | 7 per month | 0.28 | 0.11 | 1.03 | (0.98) | 2.93 | |
| ETSX | Evolve SPTSX 60 | 0.00 | 0 per month | 0.60 | (0) | 1.14 | (1.28) | 3.45 | |
| UTES | Evolve Canadian Utilities | (0.18) | 2 per month | 0.60 | (0.17) | 0.80 | (0.89) | 2.58 | |
| CNCC | Global X SPTSX | (0.05) | 3 per month | 0.48 | (0.04) | 0.80 | (0.91) | 2.29 | |
| VA | Vanguard FTSE Developed | 0.1 | 8 per month | 0.74 | 0.03 | 1.38 | (1.24) | 4.24 | |
| MREL | Middlefield Real Estate | 0.1 | 2 per month | 0.74 | (0.04) | 1.14 | (1.28) | 5.22 | |
| HBA | Hamilton Australian Bank | (0.07) | 6 per month | 0.00 | (0.17) | 1.56 | (1.88) | 4.85 |
Other Forecasting Options for Hamilton Financials
For every potential investor in Hamilton, whether a beginner or expert, Hamilton Financials' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hamilton Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hamilton. Basic forecasting techniques help filter out the noise by identifying Hamilton Financials' price trends.Hamilton Financials 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 Hamilton Financials etf to make a market-neutral strategy. Peer analysis of Hamilton Financials could also be used in its relative valuation, which is a method of valuing Hamilton Financials by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hamilton Financials Market Strength Events
Market strength indicators help investors to evaluate how Hamilton Financials etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hamilton Financials shares will generate the highest return on investment. By undertsting and applying Hamilton Financials etf market strength indicators, traders can identify Hamilton Financials YIELD entry and exit signals to maximize returns.
Hamilton Financials Risk Indicators
The analysis of Hamilton Financials' 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 Hamilton Financials' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hamilton 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 | 0.615 | |||
| Semi Deviation | 0.8005 | |||
| Standard Deviation | 0.8166 | |||
| Variance | 0.6669 | |||
| Downside Variance | 0.814 | |||
| Semi Variance | 0.6408 | |||
| Expected Short fall | (0.66) |
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 Hamilton Financials
The number of cover stories for Hamilton Financials depends on current market conditions and Hamilton Financials' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hamilton Financials 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 Hamilton Financials' 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 Hamilton Etf
Hamilton Financials financial ratios help investors to determine whether Hamilton 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 Hamilton with respect to the benefits of owning Hamilton Financials security.