Bitcoin SV Market Value
BSV Crypto | USD 70.20 2.08 3.05% |
Symbol | Bitcoin |
Bitcoin SV '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 SV's crypto coin 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 SV.
10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Bitcoin SV on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Bitcoin SV or generate 0.0% return on investment in Bitcoin SV over 30 days. Bitcoin SV is related to or competes with Bitcoin, Dogecoin, Bitcoin Cash, Litecoin, Ethereum Classic, Arweave, and Conflux Network. Bitcoin SV is peer-to-peer digital currency powered by the Blockchain technology.
Bitcoin SV 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 SV's crypto coin 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 SV upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 4.28 | |||
Information Ratio | 0.1223 | |||
Maximum Drawdown | 28.37 | |||
Value At Risk | (4.22) | |||
Potential Upside | 10.18 |
Bitcoin SV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bitcoin SV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bitcoin SV's standard deviation. In reality, there are many statistical measures that can use Bitcoin SV historical prices to predict the future Bitcoin SV's volatility.Risk Adjusted Performance | 0.1233 | |||
Jensen Alpha | 0.6511 | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | 0.1353 | |||
Treynor Ratio | 1.75 |
Bitcoin SV Backtested Returns
Bitcoin SV appears to be very risky, given 3 months investment horizon. Bitcoin SV secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that digital coin had a 0.19% return per unit of risk over the last 3 months. By analyzing Bitcoin SV's technical indicators, you can evaluate if the expected return of 0.86% is justified by implied risk. Please makes use of Bitcoin SV's Mean Deviation of 3.2, downside deviation of 4.28, and Risk Adjusted Performance of 0.1233 to double-check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 0.4, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bitcoin SV's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bitcoin SV is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Bitcoin SV has insignificant predictability. Overlapping area represents the amount of predictability between Bitcoin SV time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 2024. 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 SV price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Bitcoin SV price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.11 | |
Spearman Rank Test | 0.41 | |
Residual Average | 0.0 | |
Price Variance | 12.08 |
Bitcoin SV lagged returns against current returns
Autocorrelation, which is Bitcoin SV crypto coin'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 SV's crypto coin expected returns. We can calculate the autocorrelation of Bitcoin SV returns to help us make a trade decision. For example, suppose you find that Bitcoin SV has exhibited high autocorrelation historically, and you observe that the crypto coin 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 SV 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 SV crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bitcoin SV crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bitcoin SV crypto coin over time.
Current vs Lagged Prices |
Timeline |
Bitcoin SV Lagged Returns
When evaluating Bitcoin SV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bitcoin SV crypto coin have on its future price. Bitcoin SV 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 SV autocorrelation shows the relationship between Bitcoin SV crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Bitcoin SV.
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.When determining whether Bitcoin SV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bitcoin SV's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Bitcoin Sv Crypto.Check out Bitcoin SV Correlation, Bitcoin SV Volatility and Investing Opportunities module to complement your research on Bitcoin SV. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Bitcoin SV technical crypto coin 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, crypto market cycles, or different charting patterns.