Bitcoin Strategy Profund Fund Market Value
| BTCFX Fund | USD 33.93 0.20 0.59% |
| Symbol | Bitcoin |
Bitcoin Strategy '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 Strategy's mutual fund 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 Strategy.
| 11/02/2024 |
| 01/31/2025 |
If you would invest 0.00 in Bitcoin Strategy on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Bitcoin Strategy Profund or generate 0.0% return on investment in Bitcoin Strategy over 90 days. Bitcoin Strategy is related to or competes with Prudential Jennison, and Fidelity New. The fund seeks to provide capital appreciation by investing all or substantially all of its assets through actively mana... More
Bitcoin Strategy 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 Strategy's mutual fund 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 Strategy Profund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.26 | |||
| Information Ratio | 0.1853 | |||
| Maximum Drawdown | 19.72 | |||
| Value At Risk | (4.56) | |||
| Potential Upside | 6.41 |
Bitcoin Strategy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bitcoin Strategy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bitcoin Strategy's standard deviation. In reality, there are many statistical measures that can use Bitcoin Strategy historical prices to predict the future Bitcoin Strategy's volatility.| Risk Adjusted Performance | 0.1854 | |||
| Jensen Alpha | 0.6168 | |||
| Total Risk Alpha | 0.3723 | |||
| Sortino Ratio | 0.2067 | |||
| Treynor Ratio | 0.4671 |
Bitcoin Strategy Profund Backtested Returns
Bitcoin Strategy appears to be very steady, given 3 months investment horizon. Bitcoin Strategy Profund secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the fund had a 0.21 % return per unit of risk over the last 3 months. By analyzing Bitcoin Strategy's technical indicators, you can evaluate if the expected return of 0.77% is justified by implied risk. Please makes use of Bitcoin Strategy's Mean Deviation of 2.66, downside deviation of 3.26, and Risk Adjusted Performance of 0.1854 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.64, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Bitcoin Strategy will likely underperform.
Auto-correlation | 0.16 |
Very weak predictability
Bitcoin Strategy Profund has very weak predictability. Overlapping area represents the amount of predictability between Bitcoin Strategy time series from 2nd of November 2024 to 17th of December 2024 and 17th of December 2024 to 31st of January 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 Strategy Profund price movement. The serial correlation of 0.16 indicates that over 16.0% of current Bitcoin Strategy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 1.9 |
Bitcoin Strategy Profund lagged returns against current returns
Autocorrelation, which is Bitcoin Strategy mutual fund'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 Strategy's mutual fund expected returns. We can calculate the autocorrelation of Bitcoin Strategy returns to help us make a trade decision. For example, suppose you find that Bitcoin Strategy has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Strategy 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 Strategy mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bitcoin Strategy mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bitcoin Strategy mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Bitcoin Strategy Lagged Returns
When evaluating Bitcoin Strategy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bitcoin Strategy mutual fund have on its future price. Bitcoin Strategy 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 Strategy autocorrelation shows the relationship between Bitcoin Strategy mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Bitcoin Strategy Profund.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Bitcoin Mutual Fund
Bitcoin Strategy financial ratios help investors to determine whether Bitcoin Mutual Fund 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 Strategy security.
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |