DATA Market Value

DATA Crypto  USD 0.04  0.0002  0.49%   
DATA's market value is the price at which a share of DATA trades on a public exchange. It measures the collective expectations of DATA investors about its performance. DATA is trading at 0.0403 as of the 21st of November 2024, a 0.49% down since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of DATA and determine expected loss or profit from investing in DATA over a given investment horizon. Check out DATA Correlation, DATA Volatility and Investing Opportunities module to complement your research on DATA.
Symbol

Please note, there is a significant difference between DATA's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine DATA 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, DATA's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

DATA '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 DATA'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 DATA.
0.00
12/02/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
11/21/2024
0.00
If you would invest  0.00  in DATA on December 2, 2022 and sell it all today you would earn a total of 0.00 from holding DATA or generate 0.0% return on investment in DATA over 720 days. DATA is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and TRON. DATA is peer-to-peer digital currency powered by the Blockchain technology.

DATA 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 DATA'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 DATA upside and downside potential and time the market with a certain degree of confidence.

DATA Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DATA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DATA's standard deviation. In reality, there are many statistical measures that can use DATA historical prices to predict the future DATA's volatility.
Hype
Prediction
LowEstimatedHigh
0.000.045.68
Details
Intrinsic
Valuation
LowRealHigh
0.000.035.67
Details
Naive
Forecast
LowNextHigh
0.00080.045.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.030.040.04
Details

DATA Backtested Returns

At this point, DATA is unusually risky. DATA secures Sharpe Ratio (or Efficiency) of 0.0143, which denotes digital coin had a 0.0143% return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for DATA, which you can use to evaluate the volatility of coin. Please confirm DATA's Market Risk Adjusted Performance of (0.20), mean deviation of 4.27, and Standard Deviation of 5.7 to check if the risk estimate we provide is consistent with the expected return of 0.081%. The entity shows a Beta (market volatility) of 0.64, which means possible diversification benefits within a given portfolio. As returns on the market increase, DATA's returns are expected to increase less than the market. However, during the bear market, the loss of holding DATA is expected to be smaller as well.

Auto-correlation

    
  -0.62  

Very good reverse predictability

DATA has very good reverse predictability. Overlapping area represents the amount of predictability between DATA time series from 2nd of December 2022 to 27th of November 2023 and 27th of November 2023 to 21st 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 DATA price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current DATA price fluctuation can be explain by its past prices.
Correlation Coefficient-0.62
Spearman Rank Test-0.03
Residual Average0.0
Price Variance0.0

DATA lagged returns against current returns

Autocorrelation, which is DATA 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 DATA's crypto coin expected returns. We can calculate the autocorrelation of DATA returns to help us make a trade decision. For example, suppose you find that DATA 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  

DATA 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 DATA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DATA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DATA crypto coin over time.
   Current vs Lagged Prices   
       Timeline  

DATA Lagged Returns

When evaluating DATA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DATA crypto coin have on its future price. DATA 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, DATA autocorrelation shows the relationship between DATA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DATA.
   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 DATA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DATA'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 Data Crypto.
Check out DATA Correlation, DATA Volatility and Investing Opportunities module to complement your research on DATA.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
DATA 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 DATA technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of DATA 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...