UBEX Market Value
| UBEX Crypto | USD 0.000026 0.000001 4.00% |
| Symbol | UBEX |
UBEX '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 UBEX'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 UBEX.
| 09/15/2024 |
| 10/15/2024 |
If you would invest 0.00 in UBEX on September 15, 2024 and sell it all today you would earn a total of 0.00 from holding UBEX or generate 0.0% return on investment in UBEX over 30 days. UBEX is related to or competes with Ethereum, Solana, XRP, Toncoin, Staked Ether, Sui, and Cardano. UBEX is peer-to-peer digital currency powered by the Blockchain technology.
UBEX 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 UBEX'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 UBEX upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 28.5 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 4.35 |
UBEX Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UBEX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBEX's standard deviation. In reality, there are many statistical measures that can use UBEX historical prices to predict the future UBEX's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.90) | |||
| Treynor Ratio | (0.25) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UBEX'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.
UBEX Backtested Returns
UBEX owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0661, which indicates digital coin had a -0.0661% return per unit of volatility over the last 3 months. UBEX exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UBEX's Market Risk Adjusted Performance of (0.24), standard deviation of 4.59, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of 1.27, which indicates 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, UBEX will likely underperform.
Auto-correlation | -0.18 |
Insignificant reverse predictability
UBEX has insignificant reverse predictability. Overlapping area represents the amount of predictability between UBEX time series from 15th of September 2024 to 30th of September 2024 and 30th of September 2024 to 15th of October 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 UBEX price movement. The serial correlation of -0.18 indicates that over 18.0% of current UBEX price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
UBEX lagged returns against current returns
Autocorrelation, which is UBEX 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 UBEX's crypto coin expected returns. We can calculate the autocorrelation of UBEX returns to help us make a trade decision. For example, suppose you find that UBEX 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 |
UBEX 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 UBEX crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBEX crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBEX crypto coin over time.
Current vs Lagged Prices |
| Timeline |
UBEX Lagged Returns
When evaluating UBEX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBEX crypto coin have on its future price. UBEX 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, UBEX autocorrelation shows the relationship between UBEX crypto coin current value and its past values and can show if there is a momentum factor associated with investing in UBEX.
Regressed Prices |
| Timeline |
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Check out UBEX Correlation, UBEX Volatility and Investing Opportunities module to complement your research on UBEX. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
UBEX 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.