Curascientific Corp Stock Market Value

CuraScientific Corp's market value is the price at which a share of CuraScientific Corp trades on a public exchange. It measures the collective expectations of CuraScientific Corp investors about its performance.
With this module, you can estimate the performance of a buy and hold strategy of CuraScientific Corp and determine expected loss or profit from investing in CuraScientific Corp over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate.
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CuraScientific Corp '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 CuraScientific Corp's pink sheet 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 CuraScientific Corp.
0.00
10/24/2024
No Change 0.00  0.0 
In 31 days
11/23/2024
0.00
If you would invest  0.00  in CuraScientific Corp on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding CuraScientific Corp or generate 0.0% return on investment in CuraScientific Corp over 30 days.

CuraScientific Corp 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 CuraScientific Corp's pink sheet 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 CuraScientific Corp upside and downside potential and time the market with a certain degree of confidence.

CuraScientific Corp Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for CuraScientific Corp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CuraScientific Corp's standard deviation. In reality, there are many statistical measures that can use CuraScientific Corp historical prices to predict the future CuraScientific Corp's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CuraScientific Corp'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.

CuraScientific Corp Backtested Returns

We have found zero technical indicators for CuraScientific Corp, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CuraScientific Corp are completely uncorrelated.

Auto-correlation

    
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No correlation between past and present

CuraScientific Corp has no correlation between past and present. Overlapping area represents the amount of predictability between CuraScientific Corp time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 CuraScientific Corp price movement. The serial correlation of 0.0 indicates that just 0.0% of current CuraScientific Corp price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

CuraScientific Corp lagged returns against current returns

Autocorrelation, which is CuraScientific Corp pink sheet'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 CuraScientific Corp's pink sheet expected returns. We can calculate the autocorrelation of CuraScientific Corp returns to help us make a trade decision. For example, suppose you find that CuraScientific Corp has exhibited high autocorrelation historically, and you observe that the pink sheet 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  

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

CuraScientific Corp Lagged Returns

When evaluating CuraScientific Corp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CuraScientific Corp pink sheet have on its future price. CuraScientific Corp 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, CuraScientific Corp autocorrelation shows the relationship between CuraScientific Corp pink sheet current value and its past values and can show if there is a momentum factor associated with investing in CuraScientific Corp.
   Regressed Prices   
       Timeline  

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