LBA Market Value
| LBA Crypto | USD 0.0004 0.000008 2.13% |
| Symbol | LBA |
LBA '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 LBA'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 LBA.
| 04/14/2024 |
| 05/14/2024 |
If you would invest 0.00 in LBA on April 14, 2024 and sell it all today you would earn a total of 0.00 from holding LBA or generate 0.0% return on investment in LBA over 30 days. LBA is related to or competes with Solana, XRP, Open Network, Staked Ether, Avalanche, Chainlink, and Starknet. LBA is peer-to-peer digital currency powered by the Blockchain technology.
LBA 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 LBA'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 LBA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.2 | |||
| Information Ratio | 0.0861 | |||
| Maximum Drawdown | 87.57 | |||
| Value At Risk | (19.00) | |||
| Potential Upside | 23.67 |
LBA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LBA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LBA's standard deviation. In reality, there are many statistical measures that can use LBA historical prices to predict the future LBA's volatility.| Risk Adjusted Performance | 0.0665 | |||
| Jensen Alpha | 1.27 | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | 0.1112 | |||
| Treynor Ratio | 1.81 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of LBA'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.
LBA Backtested Returns
LBA is abnormally risky given 3 months investment horizon. LBA retains Efficiency (Sharpe Ratio) of 0.0827, which conveys that digital coin had a 0.0827% return per unit of return volatility over the last 3 months. We were able to analyze twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.21% are justified by taking the suggested risk. Use LBA Downside Deviation of 11.2, market risk adjusted performance of 1.82, and Mean Deviation of 9.67 to evaluate coin specific risk that cannot be diversified away. The entity owns a Beta (Systematic Risk) of 0.73, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, LBA's returns are expected to increase less than the market. However, during the bear market, the loss of holding LBA is expected to be smaller as well.
Auto-correlation | 0.08 |
Virtually no predictability
LBA has virtually no predictability. Overlapping area represents the amount of predictability between LBA time series from 14th of April 2024 to 29th of April 2024 and 29th of April 2024 to 14th of May 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 LBA price movement. The serial correlation of 0.08 indicates that barely 8.0% of current LBA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
LBA lagged returns against current returns
Autocorrelation, which is LBA 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 LBA's crypto coin expected returns. We can calculate the autocorrelation of LBA returns to help us make a trade decision. For example, suppose you find that LBA 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 |
LBA 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 LBA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LBA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LBA crypto coin over time.
Current vs Lagged Prices |
| Timeline |
LBA Lagged Returns
When evaluating LBA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LBA crypto coin have on its future price. LBA 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, LBA autocorrelation shows the relationship between LBA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in LBA.
Regressed Prices |
| Timeline |
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards LBA in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.
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Try AI Portfolio ArchitectCheck out LBA Correlation, LBA Volatility and Investing Opportunities module to complement your research on LBA. Note that the LBA information on this page should be used as a complementary analysis to other LBA's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
LBA 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.