CoinShares Bitcoin Etf Forward View - Simple Regression
| BTF Etf | USD 21.76 2.40 9.93% |
CoinShares Etf outlook is based on your current time horizon. We suggest always using this module together with an analysis of CoinShares Bitcoin's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 3rd of February 2026, the relative strength momentum indicator of CoinShares Bitcoin's share price is approaching 34 suggesting 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 CoinShares Bitcoin, making its price go up or down. Momentum 34
Sell Stretched
Oversold | Overbought |
Using CoinShares Bitcoin hype-based prediction, you can estimate the value of CoinShares Bitcoin and from the perspective of CoinShares Bitcoin response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of CoinShares Bitcoin and on the next trading day is expected to be 25.29 with a mean absolute deviation of 1.29 and the sum of the absolute errors of 78.86. CoinShares Bitcoin after-hype prediction price | USD 21.76 |
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.
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CoinShares Bitcoin Additional Predictive Modules
Most predictive techniques to examine CoinShares price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CoinShares using various technical indicators. When you analyze CoinShares 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 |
CoinShares Bitcoin Simple Regression Price Forecast For the 4th of February
Given 90 days horizon, the Simple Regression forecasted value of CoinShares Bitcoin and on the next trading day is expected to be 25.29 with a mean absolute deviation of 1.29, mean absolute percentage error of 2.56, and the sum of the absolute errors of 78.86.Please note that although there have been many attempts to predict CoinShares 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 CoinShares Bitcoin's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CoinShares Bitcoin Etf Forecast Pattern
| Backtest CoinShares Bitcoin | CoinShares Bitcoin Price Prediction | Research Analysis |
CoinShares Bitcoin Forecasted Value
In the context of forecasting CoinShares Bitcoin'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. CoinShares Bitcoin's downside and upside margins for the forecasting period are 21.78 and 28.80, respectively. We have considered CoinShares Bitcoin'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of CoinShares Bitcoin etf data series using in forecasting. Note that when a statistical model is used to represent CoinShares Bitcoin 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 | 119.0491 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.2928 |
| MAPE | Mean absolute percentage error | 0.0483 |
| SAE | Sum of the absolute errors | 78.8628 |
Predictive Modules for CoinShares Bitcoin
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CoinShares Bitcoin and. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CoinShares Bitcoin's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
CoinShares Bitcoin After-Hype Price Density Analysis
As far as predicting the price of CoinShares Bitcoin 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 CoinShares Bitcoin 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 CoinShares Bitcoin, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
CoinShares Bitcoin Estimiated After-Hype Price Volatility
In the context of predicting CoinShares Bitcoin's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on CoinShares Bitcoin's historical news coverage. CoinShares Bitcoin's after-hype downside and upside margins for the prediction period are 18.25 and 25.27, respectively. We have considered CoinShares Bitcoin'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
CoinShares Bitcoin is not too volatile at this time. Analysis and calculation of next after-hype price of CoinShares Bitcoin and is based on 3 months time horizon.
CoinShares Bitcoin Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as CoinShares Bitcoin is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading CoinShares Bitcoin 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 CoinShares Bitcoin, 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 |
0.51 | 3.51 | 0.00 | 0.02 | 0 Events / Month | 2 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
21.76 | 21.76 | 0.00 |
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CoinShares Bitcoin Hype Timeline
On the 3rd of February CoinShares Bitcoin and is traded for 21.76. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.02. CoinShares is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is currently at -0.51%. %. The volatility of related hype on CoinShares Bitcoin is about 10028.57%, with the expected price after the next announcement by competition of 21.74. About 42.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.86. Some equities with similar Price to Book (P/B) outperform the market in the long run. CoinShares Bitcoin and last dividend was issued on the December 22, 2014. Considering the 90-day investment horizon the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of CoinShares Bitcoin to cross-verify your projections.CoinShares Bitcoin Related Hype Analysis
Having access to credible news sources related to CoinShares Bitcoin's direct competition is more important than ever and may enhance your ability to predict CoinShares Bitcoin's future price movements. Getting to know how CoinShares Bitcoin'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 CoinShares Bitcoin may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HARD | Simplify Commodities Strategy | 0.08 | 3 per month | 1.45 | 0.04 | 1.85 | (2.34) | 7.12 | |
| PSCQ | Pacer Swan SOS | 0.03 | 2 per month | 0.31 | (0.10) | 0.61 | (0.52) | 1.91 | |
| DHSB | Strategy Shares | 0.01 | 1 per month | 0.34 | (0.1) | 0.47 | (0.59) | 1.69 | |
| BITS | Global X Blockchain | 0.00 | 0 per month | 0.00 | (0.15) | 5.69 | (5.61) | 15.22 | |
| GABF | Gabelli Financial Services | (0.51) | 2 per month | 0.00 | (0.05) | 1.30 | (2.30) | 5.12 | |
| AHYB | American Century ETF | 0.05 | 3 per month | 0.00 | (0.20) | 0.24 | (0.22) | 0.76 | |
| FLCV | Federated Hermes ETF | (0.08) | 1 per month | 0.45 | 0.09 | 1.53 | (0.94) | 3.34 | |
| USL | United States 12 | 0.00 | 0 per month | 1.66 | 0 | 2.12 | (2.38) | 8.47 | |
| BDRY | Breakwave Dry Bulk | 0.07 | 2 per month | 2.17 | 0.14 | 4.49 | (3.99) | 11.04 | |
| CCSO | Tidal ETF Trust | 0.00 | 0 per month | 1.31 | 0.06 | 1.65 | (2.47) | 5.36 |
Other Forecasting Options for CoinShares Bitcoin
For every potential investor in CoinShares, whether a beginner or expert, CoinShares Bitcoin's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CoinShares Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CoinShares. Basic forecasting techniques help filter out the noise by identifying CoinShares Bitcoin's price trends.CoinShares Bitcoin 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 CoinShares Bitcoin etf to make a market-neutral strategy. Peer analysis of CoinShares Bitcoin could also be used in its relative valuation, which is a method of valuing CoinShares Bitcoin by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CoinShares Bitcoin Market Strength Events
Market strength indicators help investors to evaluate how CoinShares Bitcoin etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CoinShares Bitcoin shares will generate the highest return on investment. By undertsting and applying CoinShares Bitcoin etf market strength indicators, traders can identify CoinShares Bitcoin and entry and exit signals to maximize returns.
CoinShares Bitcoin Risk Indicators
The analysis of CoinShares Bitcoin'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 CoinShares Bitcoin's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting coinshares 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 | 2.7 | |||
| Standard Deviation | 3.51 | |||
| Variance | 12.32 |
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 CoinShares Bitcoin
The number of cover stories for CoinShares Bitcoin depends on current market conditions and CoinShares Bitcoin's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that CoinShares Bitcoin 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 CoinShares Bitcoin'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 CoinShares Bitcoin to cross-verify your projections. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
The market value of CoinShares Bitcoin and is measured differently than its book value, which is the value of CoinShares that is recorded on the company's balance sheet. Investors also form their own opinion of CoinShares Bitcoin's value that differs from its market value or its book value, called intrinsic value, which is CoinShares Bitcoin's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because CoinShares Bitcoin's market value can be influenced by many factors that don't directly affect CoinShares Bitcoin's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between CoinShares Bitcoin's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding CoinShares Bitcoin should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, CoinShares Bitcoin's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.