SEELE Market Value
| SEELE Crypto | USD 0.000022 0.00 0.00% |
| Symbol | SEELE |
SEELE '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 SEELE'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 SEELE.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in SEELE on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SEELE or generate 0.0% return on investment in SEELE over 30 days. SEELE is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Stellar, and Worldcoin. SEELE is peer-to-peer digital currency powered by the Blockchain technology.
SEELE 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 SEELE'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 SEELE upside and downside potential and time the market with a certain degree of confidence.
SEELE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SEELE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SEELE's standard deviation. In reality, there are many statistical measures that can use SEELE historical prices to predict the future SEELE's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SEELE'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.
SEELE Backtested Returns
We have found one technical indicators for SEELE, which you can use to evaluate the volatility of coin. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SEELE are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
SEELE has perfect predictability. Overlapping area represents the amount of predictability between SEELE time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 SEELE price movement. The serial correlation of 1.0 indicates that 100.0% of current SEELE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SEELE lagged returns against current returns
Autocorrelation, which is SEELE 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 SEELE's crypto coin expected returns. We can calculate the autocorrelation of SEELE returns to help us make a trade decision. For example, suppose you find that SEELE 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 |
SEELE 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 SEELE crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SEELE crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SEELE crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SEELE Lagged Returns
When evaluating SEELE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SEELE crypto coin have on its future price. SEELE 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, SEELE autocorrelation shows the relationship between SEELE crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SEELE.
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 SEELE offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SEELE'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 Seele Crypto.Check out SEELE Correlation, SEELE Volatility and Investing Opportunities module to complement your research on SEELE. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
SEELE 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.