HSC Market Value

HSC Crypto  USD 0.000004  0.000001  33.33%   
HSC's market value is the price at which a share of HSC trades on a public exchange. It measures the collective expectations of HSC investors about its performance. HSC is trading at 4.0E-6 as of the 30th of November 2024, a 33.33 percent increase since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of HSC and determine expected loss or profit from investing in HSC over a given investment horizon. Check out HSC Correlation, HSC Volatility and Investing Opportunities module to complement your research on HSC.
Symbol

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

HSC '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 HSC'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 HSC.
0.00
06/03/2024
No Change 0.00  0.0 
In 5 months and 30 days
11/30/2024
0.00
If you would invest  0.00  in HSC on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding HSC or generate 0.0% return on investment in HSC over 180 days. HSC is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. HSC is peer-to-peer digital currency powered by the Blockchain technology.

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

HSC Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for HSC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HSC's standard deviation. In reality, there are many statistical measures that can use HSC historical prices to predict the future HSC's volatility.
Hype
Prediction
LowEstimatedHigh
0.000.00000329.36
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000029429.36
Details
Naive
Forecast
LowNextHigh
0.000.00000529.36
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00000340.00000340.0000034
Details

HSC Backtested Returns

HSC is abnormally risky given 3 months investment horizon. HSC retains Efficiency (Sharpe Ratio) of 0.12, which attests that digital coin had a 0.12% return per unit of return volatility over the last 3 months. We were able to break down eighteen different technical indicators, which can help you to evaluate if expected returns of 3.44% are justified by taking the suggested risk. Use HSC Market Risk Adjusted Performance of (1.09), standard deviation of 29.14, and Coefficient Of Variation of 861.11 to evaluate coin specific risk that cannot be diversified away. The crypto owns a Beta (Systematic Risk) of -3.05, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning HSC are expected to decrease by larger amounts. On the other hand, during market turmoil, HSC is expected to outperform it.

Auto-correlation

    
  0.19  

Very weak predictability

HSC has very weak predictability. Overlapping area represents the amount of predictability between HSC time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 HSC price movement. The serial correlation of 0.19 indicates that over 19.0% of current HSC price fluctuation can be explain by its past prices.
Correlation Coefficient0.19
Spearman Rank Test-0.02
Residual Average0.0
Price Variance0.0

HSC lagged returns against current returns

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

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

HSC Lagged Returns

When evaluating HSC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HSC crypto coin have on its future price. HSC 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, HSC autocorrelation shows the relationship between HSC crypto coin current value and its past values and can show if there is a momentum factor associated with investing in HSC.
   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 HSC offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of HSC'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 Hsc Crypto.
Check out HSC Correlation, HSC Volatility and Investing Opportunities module to complement your research on HSC.
You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
HSC 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 HSC technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of HSC 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...