Calamos ETF Etf Forward View
| CAIE Etf | 27.08 0.09 0.33% |
Calamos Etf outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Calamos ETF stock prices and determine the direction of Calamos ETF Trust's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Calamos ETF's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, The relative strength momentum indicator of Calamos ETF's share price is at 53 suggesting that the etf is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Calamos ETF, making its price go up or down. Momentum 53
Impartial
Oversold | Overbought |
Using Calamos ETF hype-based prediction, you can estimate the value of Calamos ETF Trust from the perspective of Calamos ETF response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Calamos ETF using Calamos ETF's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Calamos using crowd psychology based on the activity and movement of Calamos ETF's stock price.
Calamos ETF Implied Volatility | 0.5 |
Calamos ETF's implied volatility exposes the market's sentiment of Calamos ETF Trust stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Calamos ETF's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Calamos ETF stock will not fluctuate a lot when Calamos ETF's options are near their expiration.
The Naive Prediction forecasted value of Calamos ETF Trust on the next trading day is expected to be 27.17 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.38. Calamos ETF after-hype prediction price | USD 27.08 |
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.
Check out Historical Fundamental Analysis of Calamos ETF to cross-verify your projections. Prediction based on Rule 16 of the current Calamos contract
Based on the Rule 16, the options market is currently suggesting that Calamos ETF Trust will have an average daily up or down price movement of about 0.0313% per day over the life of the 2026-03-20 option contract. With Calamos ETF trading at USD 27.08, that is roughly USD 0.008463 . If you think that the market is fully incorporating Calamos ETF's daily price movement you should consider acquiring Calamos ETF Trust options at the current volatility level of 0.5%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-03-20 Calamos Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Calamos ETF's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Calamos ETF's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Calamos ETF stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Calamos ETF's open interest, investors have to compare it to Calamos ETF's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Calamos ETF is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Calamos. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Calamos ETF Additional Predictive Modules
Most predictive techniques to examine Calamos price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Calamos using various technical indicators. When you analyze Calamos 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 |
Calamos ETF Naive Prediction Price Forecast For the 1st of February
Given 90 days horizon, the Naive Prediction forecasted value of Calamos ETF Trust on the next trading day is expected to be 27.17 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.38.Please note that although there have been many attempts to predict Calamos 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 Calamos ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Calamos ETF Etf Forecast Pattern
| Backtest Calamos ETF | Calamos ETF Price Prediction | Buy or Sell Advice |
Calamos ETF Forecasted Value
In the context of forecasting Calamos ETF'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. Calamos ETF's downside and upside margins for the forecasting period are 26.49 and 27.85, respectively. We have considered Calamos ETF'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 Calamos ETF etf data series using in forecasting. Note that when a statistical model is used to represent Calamos ETF 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 | 116.6515 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1514 |
| MAPE | Mean absolute percentage error | 0.0057 |
| SAE | Sum of the absolute errors | 9.3844 |
Predictive Modules for Calamos ETF
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Calamos ETF Trust. 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.Calamos ETF After-Hype Price Density Analysis
As far as predicting the price of Calamos ETF 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 Calamos ETF 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 Calamos ETF, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Calamos ETF Estimiated After-Hype Price Volatility
In the context of predicting Calamos ETF's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Calamos ETF's historical news coverage. Calamos ETF's after-hype downside and upside margins for the prediction period are 26.40 and 27.76, respectively. We have considered Calamos ETF'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
Calamos ETF is very steady at this time. Analysis and calculation of next after-hype price of Calamos ETF Trust is based on 3 months time horizon.
Calamos ETF Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Calamos ETF is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Calamos ETF 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 Calamos ETF, 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 | 0.68 | 0.00 | 0.00 | 3 Events / Month | 3 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
27.08 | 27.08 | 0.00 |
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Calamos ETF Hype Timeline
Calamos ETF Trust is currently traded for 27.08. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Calamos 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 0.03%. %. The volatility of related hype on Calamos ETF is about 2956.52%, with the expected price after the next announcement by competition of 27.08. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 3 days. Check out Historical Fundamental Analysis of Calamos ETF to cross-verify your projections.Calamos ETF Related Hype Analysis
Having access to credible news sources related to Calamos ETF's direct competition is more important than ever and may enhance your ability to predict Calamos ETF's future price movements. Getting to know how Calamos ETF'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 Calamos ETF may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FLCG | Federated Hermes ETF | 0.21 | 2 per month | 0.00 | (0.08) | 1.44 | (1.85) | 4.43 | |
| BUSA | 2023 EFT Series | (0.05) | 2 per month | 0.54 | 0.09 | 1.46 | (1.15) | 3.31 | |
| KBWY | Invesco KBW Premium | (0.17) | 5 per month | 0.74 | 0.02 | 1.47 | (1.34) | 4.98 | |
| FTXO | First Trust Nasdaq | (0.36) | 3 per month | 0.89 | 0.11 | 2.33 | (1.54) | 5.28 | |
| HOOY | YieldMax HOOD Option | (0.07) | 4 per month | 0.00 | (0.11) | 4.64 | (7.00) | 15.33 | |
| UWM | ProShares Ultra Russell2000 | 0.11 | 7 per month | 2.17 | 0.05 | 3.64 | (3.67) | 9.10 | |
| GAUG | FT Cboe Vest | (0.01) | 1 per month | 0.28 | (0.07) | 0.54 | (0.49) | 1.82 | |
| NJUL | Innovator Nasdaq 100 Power | 0.04 | 5 per month | 0.37 | (0.07) | 0.54 | (0.71) | 2.11 | |
| GAPR | First Trust Exchange Traded | 0.02 | 4 per month | 0.00 | (0.25) | 0.25 | (0.20) | 0.73 | |
| PAPI | Morgan Stanley ETF | 0.05 | 3 per month | 0.47 | 0.05 | 1.33 | (1.02) | 2.91 |
Other Forecasting Options for Calamos ETF
For every potential investor in Calamos, whether a beginner or expert, Calamos ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Calamos Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Calamos. Basic forecasting techniques help filter out the noise by identifying Calamos ETF's price trends.Calamos ETF 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 Calamos ETF etf to make a market-neutral strategy. Peer analysis of Calamos ETF could also be used in its relative valuation, which is a method of valuing Calamos ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Calamos ETF Market Strength Events
Market strength indicators help investors to evaluate how Calamos ETF etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Calamos ETF shares will generate the highest return on investment. By undertsting and applying Calamos ETF etf market strength indicators, traders can identify Calamos ETF Trust entry and exit signals to maximize returns.
Calamos ETF Risk Indicators
The analysis of Calamos ETF'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 Calamos ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting calamos 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 | 0.5382 | |||
| Semi Deviation | 0.7132 | |||
| Standard Deviation | 0.6802 | |||
| Variance | 0.4626 | |||
| Downside Variance | 0.6664 | |||
| Semi Variance | 0.5086 | |||
| Expected Short fall | (0.52) |
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 Calamos ETF
The number of cover stories for Calamos ETF depends on current market conditions and Calamos ETF's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Calamos ETF 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 Calamos ETF'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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Check out Historical Fundamental Analysis of Calamos ETF to cross-verify your projections. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Calamos ETF Trust's market price often diverges from its book value, the accounting figure shown on Calamos's balance sheet. Smart investors calculate Calamos ETF's intrinsic value—its true economic worth—which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Calamos ETF's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Calamos ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Calamos ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Calamos ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.