RATING Market Value
| RATING Crypto | USD 0.000035 0.000036 50.70% |
| Symbol | RATING |
RATING '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 RATING'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 RATING.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in RATING on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding RATING or generate 0.0% return on investment in RATING over 90 days. RATING is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. RATING is peer-to-peer digital currency powered by the Blockchain technology.
RATING 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 RATING'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 RATING upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 18.28 | |||
| Information Ratio | 0.0319 | |||
| Maximum Drawdown | 107.94 | |||
| Value At Risk | (27.78) | |||
| Potential Upside | 29.63 |
RATING Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RATING's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RATING's standard deviation. In reality, there are many statistical measures that can use RATING historical prices to predict the future RATING's volatility.| Risk Adjusted Performance | 0.0329 | |||
| Jensen Alpha | 0.2438 | |||
| Total Risk Alpha | 2.95 | |||
| Sortino Ratio | 0.034 | |||
| Treynor Ratio | (0.21) |
RATING Backtested Returns
RATING appears to be abnormally risky, given 3 months investment horizon. RATING maintains Sharpe Ratio (i.e., Efficiency) of 0.0328, which implies digital coin had a 0.0328 % return per unit of standard deviation over the last 3 months. By inspecting RATING's technical indicators, you can evaluate if the expected return of 0.65% is justified by implied risk. Please evaluate RATING's Market Risk Adjusted Performance of (0.20), mean deviation of 9.49, and Coefficient Of Variation of 3727.81 to confirm if our risk estimates are consistent with your expectations. The entity holds a Beta of -2.46, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning RATING are expected to decrease by larger amounts. On the other hand, during market turmoil, RATING is expected to outperform it.
Auto-correlation | 0.07 |
Virtually no predictability
RATING has virtually no predictability. Overlapping area represents the amount of predictability between RATING time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 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 RATING price movement. The serial correlation of 0.07 indicates that barely 7.0% of current RATING price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
RATING lagged returns against current returns
Autocorrelation, which is RATING 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 RATING's crypto coin expected returns. We can calculate the autocorrelation of RATING returns to help us make a trade decision. For example, suppose you find that RATING 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 |
RATING 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 RATING crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RATING crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RATING crypto coin over time.
Current vs Lagged Prices |
| Timeline |
RATING Lagged Returns
When evaluating RATING's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RATING crypto coin have on its future price. RATING 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, RATING autocorrelation shows the relationship between RATING crypto coin current value and its past values and can show if there is a momentum factor associated with investing in RATING.
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 RATING offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of RATING'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 Rating Crypto.Check out RATING Correlation, RATING Volatility and Investing Opportunities module to complement your research on RATING. 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.
RATING 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.