Bitcoin Etf Cad Etf Market Value
| EBIT Etf | CAD 43.22 1.98 4.80% |
| Symbol | Bitcoin |
Bitcoin ETF '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 Bitcoin ETF'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 Bitcoin ETF.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Bitcoin ETF on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Bitcoin ETF CAD or generate 0.0% return on investment in Bitcoin ETF over 90 days. Bitcoin ETF is related to or competes with NBI High, NBI Unconstrained, Mackenzie Developed, BMO Short, and BMO Canadian. BITCOIN ETF is traded on Toronto Stock Exchange in Canada. More
Bitcoin ETF 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 Bitcoin ETF'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 Bitcoin ETF CAD upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 16.05 | |||
| Value At Risk | (4.86) | |||
| Potential Upside | 4.83 |
Bitcoin ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bitcoin ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bitcoin ETF's standard deviation. In reality, there are many statistical measures that can use Bitcoin ETF historical prices to predict the future Bitcoin ETF's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | 0.2496 | |||
| Treynor Ratio | (0.18) |
Bitcoin ETF CAD Backtested Returns
Bitcoin ETF CAD secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the etf had a -0.1 % return per unit of risk over the last 3 months. Bitcoin ETF CAD exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bitcoin ETF's Mean Deviation of 2.51, risk adjusted performance of (0.03), and Standard Deviation of 3.14 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.81, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bitcoin ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bitcoin ETF is expected to be smaller as well.
Auto-correlation | -0.27 |
Weak reverse predictability
Bitcoin ETF CAD has weak reverse predictability. Overlapping area represents the amount of predictability between Bitcoin ETF time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Bitcoin ETF CAD price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Bitcoin ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 12.19 |
Bitcoin ETF CAD lagged returns against current returns
Autocorrelation, which is Bitcoin ETF 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 Bitcoin ETF's etf expected returns. We can calculate the autocorrelation of Bitcoin ETF returns to help us make a trade decision. For example, suppose you find that Bitcoin ETF 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 |
Bitcoin ETF 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 Bitcoin ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bitcoin ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bitcoin ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Bitcoin ETF Lagged Returns
When evaluating Bitcoin ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bitcoin ETF etf have on its future price. Bitcoin ETF 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, Bitcoin ETF autocorrelation shows the relationship between Bitcoin ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Bitcoin ETF CAD.
Regressed Prices |
| Timeline |
Pair Trading with Bitcoin ETF
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 Bitcoin ETF 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 Bitcoin ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Bitcoin Etf
| 1.0 | BTCQ | 3iQ Bitcoin ETF | PairCorr |
| 1.0 | BTCC | Purpose Bitcoin ETF | PairCorr |
| 0.8 | ETHQ | 3iQ CoinShares Ether | PairCorr |
Moving against Bitcoin Etf
| 0.87 | BITI | BetaPro Inverse Bitcoin | PairCorr |
| 0.66 | EBNK | Evolve European Banks | PairCorr |
| 0.5 | HUV | BetaPro SP 500 | PairCorr |
The ability to find closely correlated positions to Bitcoin ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bitcoin ETF 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 Bitcoin ETF - 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 Bitcoin ETF CAD to buy it.
The correlation of Bitcoin ETF 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 Bitcoin ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bitcoin ETF CAD 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 Bitcoin ETF 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.Other Information on Investing in Bitcoin Etf
Bitcoin ETF financial ratios help investors to determine whether Bitcoin 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 Bitcoin with respect to the benefits of owning Bitcoin ETF security.