Bitcoin SV Technical Analysis
| BSV Crypto | USD 17.48 0.59 3.49% |
As of the 16th of February 2026, Bitcoin SV shows the Mean Deviation of 3.21, standard deviation of 4.81, and Risk Adjusted Performance of (0.04). Bitcoin SV technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Bitcoin SV Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bitcoin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BitcoinBitcoin |
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.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Bitcoin SV on November 18, 2025 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 90 days. Bitcoin SV is related to or competes with Bitcoin Gold, Bitcoin Cash, Staked Ether, EigenLayer, Morpho, and DIA. 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.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 25.46 | |||
| Value At Risk | (5.69) | |||
| Potential Upside | 7.82 |
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 | (0.04) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | 0.1778 |
Bitcoin SV February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | 0.1878 | |||
| Mean Deviation | 3.21 | |||
| Coefficient Of Variation | (1,833) | |||
| Standard Deviation | 4.81 | |||
| Variance | 23.17 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | 0.1778 | |||
| Maximum Drawdown | 25.46 | |||
| Value At Risk | (5.69) | |||
| Potential Upside | 7.82 | |||
| Skewness | 1.12 | |||
| Kurtosis | 4.6 |
Bitcoin SV Backtested Returns
Bitcoin SV secures Sharpe Ratio (or Efficiency) of -0.0443, which signifies that digital coin had a -0.0443 % return per unit of risk over the last 3 months. Bitcoin SV exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bitcoin SV's Mean Deviation of 3.21, risk adjusted performance of (0.04), and Standard Deviation of 4.81 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.53, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Bitcoin SV are expected to decrease by larger amounts. On the other hand, during market turmoil, Bitcoin SV is expected to outperform it.
Auto-correlation | 0.76 |
Good predictability
Bitcoin SV has good predictability. Overlapping area represents the amount of predictability between Bitcoin SV time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 2026. 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 0.76 indicates that around 76.0% of current Bitcoin SV price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 4.84 |
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.
Bitcoin SV Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Bitcoin SV across different markets.
About Bitcoin SV Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Bitcoin SV on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Bitcoin SV based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Bitcoin SV price pattern first instead of the macroeconomic environment surrounding Bitcoin SV. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Bitcoin SV's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Bitcoin SV specific price patterns or momentum indicators.
Bitcoin SV February 16, 2026 Technical Indicators
Most technical analysis of Bitcoin help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Bitcoin from various momentum indicators to cycle indicators. When you analyze Bitcoin charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | 0.1878 | |||
| Mean Deviation | 3.21 | |||
| Coefficient Of Variation | (1,833) | |||
| Standard Deviation | 4.81 | |||
| Variance | 23.17 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.63) | |||
| Treynor Ratio | 0.1778 | |||
| Maximum Drawdown | 25.46 | |||
| Value At Risk | (5.69) | |||
| Potential Upside | 7.82 | |||
| Skewness | 1.12 | |||
| Kurtosis | 4.6 |
Bitcoin SV February 16, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Bitcoin stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.08 | ||
| Daily Balance Of Power | 0.42 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 17.17 | ||
| Day Typical Price | 17.27 | ||
| Price Action Indicator | 0.61 | ||
| Market Facilitation Index | 1.42 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bitcoin SV. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.