BAND Market Value
| BAND Crypto | USD 0.36 0.02 5.88% |
| Symbol | BAND |
BAND '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 BAND'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 BAND.
| 12/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in BAND on December 14, 2025 and sell it all today you would earn a total of 0.00 from holding BAND or generate 0.0% return on investment in BAND over 30 days. BAND is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. BAND is peer-to-peer digital currency powered by the Blockchain technology.
BAND 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 BAND'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 BAND upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 24.12 | |||
| Value At Risk | (6.82) | |||
| Potential Upside | 6.25 |
BAND Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BAND's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BAND's standard deviation. In reality, there are many statistical measures that can use BAND historical prices to predict the future BAND's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.53) | |||
| Total Risk Alpha | (1.03) | |||
| Treynor Ratio | (1.79) |
BAND Backtested Returns
BAND secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that digital coin had a -0.1 % return per unit of risk over the last 3 months. BAND exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BAND's Mean Deviation of 3.44, variance of 22.42, and Coefficient Of Variation of (961.39) to double-check the risk estimate we provide. The entity shows a Beta (market volatility) of 0.28, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BAND's returns are expected to increase less than the market. However, during the bear market, the loss of holding BAND is expected to be smaller as well.
Auto-correlation | 0.39 |
Below average predictability
BAND has below average predictability. Overlapping area represents the amount of predictability between BAND time series from 14th of December 2025 to 29th of December 2025 and 29th of December 2025 to 13th of January 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 BAND price movement. The serial correlation of 0.39 indicates that just about 39.0% of current BAND price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BAND lagged returns against current returns
Autocorrelation, which is BAND 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 BAND's crypto coin expected returns. We can calculate the autocorrelation of BAND returns to help us make a trade decision. For example, suppose you find that BAND 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 |
BAND 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 BAND crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BAND crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BAND crypto coin over time.
Current vs Lagged Prices |
| Timeline |
BAND Lagged Returns
When evaluating BAND's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BAND crypto coin have on its future price. BAND 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, BAND autocorrelation shows the relationship between BAND crypto coin current value and its past values and can show if there is a momentum factor associated with investing in BAND.
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 BAND offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of BAND'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 Band Crypto.Check out BAND Correlation, BAND Volatility and Investing Opportunities module to complement your research on BAND. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
BAND 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.