Grayscale Bitcoin Adopters Etf Market Value
| BCOR Etf | USD 34.93 0.18 0.51% |
| Symbol | Grayscale |
The market value of Grayscale Bitcoin is measured differently than its book value, which is the value of Grayscale that is recorded on the company's balance sheet. Investors also form their own opinion of Grayscale Bitcoin's value that differs from its market value or its book value, called intrinsic value, which is Grayscale Bitcoin's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Grayscale Bitcoin's market value can be influenced by many factors that don't directly affect Grayscale Bitcoin's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Grayscale Bitcoin's value and its price as these two are different measures arrived at by different means. Investors typically determine if Grayscale Bitcoin is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Grayscale Bitcoin'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.
Grayscale Bitcoin 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Grayscale Bitcoin's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Grayscale Bitcoin.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Grayscale Bitcoin on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Grayscale Bitcoin Adopters or generate 0.0% return on investment in Grayscale Bitcoin over 90 days. Grayscale Bitcoin is related to or competes with IShares Dividend, Martin Currie, AdvisorShares Gerber, Amplify ETF, Roundhill Ball, Global X, and Democracy International. Blucora, Inc. provides technology-enabled financial solutions to consumers, small business owners, tax professionals, fi... More
Grayscale Bitcoin Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Grayscale Bitcoin's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Grayscale Bitcoin Adopters upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.75 | |||
| Information Ratio | 0.1389 | |||
| Maximum Drawdown | 16.73 | |||
| Value At Risk | (3.89) | |||
| Potential Upside | 4.89 |
Grayscale Bitcoin Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Grayscale Bitcoin's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Grayscale Bitcoin's standard deviation. In reality, there are many statistical measures that can use Grayscale Bitcoin historical prices to predict the future Grayscale Bitcoin's volatility.| Risk Adjusted Performance | 0.1969 | |||
| Jensen Alpha | 0.6997 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.1461 | |||
| Treynor Ratio | (1.36) |
Grayscale Bitcoin Backtested Returns
Grayscale Bitcoin appears to be very steady, given 3 months investment horizon. Grayscale Bitcoin holds Efficiency (Sharpe) Ratio of 0.21, which attests that the entity had a 0.21 % return per unit of standard deviation over the last 3 months. By evaluating Grayscale Bitcoin's technical indicators, you can evaluate if the expected return of 0.62% is justified by implied risk. Please utilize Grayscale Bitcoin's market risk adjusted performance of (1.35), and Risk Adjusted Performance of 0.1969 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of -0.45, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Grayscale Bitcoin are expected to decrease at a much lower rate. During the bear market, Grayscale Bitcoin is likely to outperform the market.
Auto-correlation | 0.57 |
Modest predictability
Grayscale Bitcoin Adopters has modest predictability. Overlapping area represents the amount of predictability between Grayscale Bitcoin time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Grayscale Bitcoin price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Grayscale Bitcoin price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 1.62 |
Grayscale Bitcoin lagged returns against current returns
Autocorrelation, which is Grayscale Bitcoin etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Grayscale Bitcoin's etf expected returns. We can calculate the autocorrelation of Grayscale Bitcoin returns to help us make a trade decision. For example, suppose you find that Grayscale Bitcoin has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Grayscale Bitcoin regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Grayscale Bitcoin etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Grayscale Bitcoin etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Grayscale Bitcoin etf over time.
Current vs Lagged Prices |
| Timeline |
Grayscale Bitcoin Lagged Returns
When evaluating Grayscale Bitcoin's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Grayscale Bitcoin etf have on its future price. Grayscale Bitcoin autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Grayscale Bitcoin autocorrelation shows the relationship between Grayscale Bitcoin etf current value and its past values and can show if there is a momentum factor associated with investing in Grayscale Bitcoin Adopters.
Regressed Prices |
| Timeline |
Pair Trading with Grayscale Bitcoin
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Grayscale Bitcoin position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Grayscale Bitcoin will appreciate offsetting losses from the drop in the long position's value.Moving together with Grayscale Etf
| 0.64 | PSLV | Sprott Physical Silver Aggressive Push | PairCorr |
Moving against Grayscale Etf
The ability to find closely correlated positions to Grayscale Bitcoin could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Grayscale Bitcoin when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Grayscale Bitcoin - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Grayscale Bitcoin Adopters to buy it.
The correlation of Grayscale Bitcoin is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Grayscale Bitcoin moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Grayscale Bitcoin moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Grayscale Bitcoin can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Grayscale Bitcoin Correlation, Grayscale Bitcoin Volatility and Grayscale Bitcoin Alpha and Beta module to complement your research on Grayscale Bitcoin. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Grayscale Bitcoin technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.