RATING Market Value

RATING Crypto  USD 0.000076  0.000001  1.30%   
RATING's market value is the price at which a share of RATING trades on a public exchange. It measures the collective expectations of RATING investors about its performance. RATING is trading at 7.6E-5 as of the 12th of July 2025, a 1.3 percent decrease since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of RATING and determine expected loss or profit from investing in RATING over a given investment horizon. Check out RATING Correlation, RATING Volatility and Investing Opportunities module to complement your research on RATING.
Symbol

Please note, there is a significant difference between RATING's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine RATING value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, RATING's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

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.
0.00
01/13/2025
No Change 0.00  0.0 
In 5 months and 29 days
07/12/2025
0.00
If you would invest  0.00  in RATING on January 13, 2025 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 180 days. RATING is related to or competes with Staked Ether, 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.

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.
Hype
Prediction
LowEstimatedHigh
0.000.0000932.85
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000652.85
Details
Naive
Forecast
LowNextHigh
0.0000010.0000732.85
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.0000820.0000820.000082
Details

RATING Backtested Returns

At this point, RATING is risky. RATING maintains Sharpe Ratio (i.e., Efficiency) of 0.0207, which implies digital coin had a 0.0207 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for RATING, which you can use to evaluate the volatility of coin. Please check RATING's Market Risk Adjusted Performance of 0.3766, mean deviation of 1.8, and Coefficient Of Variation of 2038.71 to confirm if the risk estimate we provide is consistent with the expected return of 0.0584%. The entity holds a Beta of 0.37, which implies possible diversification benefits within a given portfolio. As returns on the market increase, RATING's returns are expected to increase less than the market. However, during the bear market, the loss of holding RATING is expected to be smaller as well.

Auto-correlation

    
  -0.3  

Weak reverse predictability

RATING has weak reverse predictability. Overlapping area represents the amount of predictability between RATING time series from 13th of January 2025 to 13th of April 2025 and 13th of April 2025 to 12th of July 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 -0.3 indicates that nearly 30.0% of current RATING price fluctuation can be explain by its past prices.
Correlation Coefficient-0.3
Spearman Rank Test0.43
Residual Average0.0
Price Variance0.0

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  

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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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.
A focus of RATING technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of RATING trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...