GBYTE Market Value
| GBYTE Crypto | USD 27.50 0.03 0.11% |
| Symbol | GBYTE |
GBYTE '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 GBYTE'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 GBYTE.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in GBYTE on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding GBYTE or generate 0.0% return on investment in GBYTE over 30 days. GBYTE is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. GBYTE is peer-to-peer digital currency powered by the Blockchain technology.
GBYTE 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 GBYTE'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 GBYTE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 12.96 | |||
| Value At Risk | (3.30) | |||
| Potential Upside | 4.13 |
GBYTE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GBYTE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GBYTE's standard deviation. In reality, there are many statistical measures that can use GBYTE historical prices to predict the future GBYTE's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 0.2584 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GBYTE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
GBYTE Backtested Returns
GBYTE holds Efficiency (Sharpe) Ratio of -0.0516, which attests that digital coin had a -0.0516 % return per unit of standard deviation over the last 3 months. GBYTE exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GBYTE's coefficient of variation of (2,619), and Mean Deviation of 1.75 to validate the risk estimate we provide. The entity retains a Market Volatility (i.e., Beta) of -0.39, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning GBYTE are expected to decrease at a much lower rate. During the bear market, GBYTE is likely to outperform the market.
Auto-correlation | 0.49 |
Average predictability
GBYTE has average predictability. Overlapping area represents the amount of predictability between GBYTE time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 GBYTE price movement. The serial correlation of 0.49 indicates that about 49.0% of current GBYTE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 1.05 |
GBYTE lagged returns against current returns
Autocorrelation, which is GBYTE 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 GBYTE's crypto coin expected returns. We can calculate the autocorrelation of GBYTE returns to help us make a trade decision. For example, suppose you find that GBYTE 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 |
GBYTE 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 GBYTE crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GBYTE crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GBYTE crypto coin over time.
Current vs Lagged Prices |
| Timeline |
GBYTE Lagged Returns
When evaluating GBYTE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GBYTE crypto coin have on its future price. GBYTE 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, GBYTE autocorrelation shows the relationship between GBYTE crypto coin current value and its past values and can show if there is a momentum factor associated with investing in GBYTE.
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 GBYTE offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GBYTE'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 Gbyte Crypto.Check out GBYTE Correlation, GBYTE Volatility and Investing Opportunities module to complement your research on GBYTE. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
GBYTE 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.