Schimatic Cash Transactions Stock Market Value
| SCTN Stock | USD 0.0001 0.00 0.00% |
| Symbol | Schimatic |
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Schimatic Cash. If investors know Schimatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Schimatic Cash listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.02) | Revenue Per Share 0.001 | Return On Assets (20.46) |
The market value of Schimatic Cash Trans is measured differently than its book value, which is the value of Schimatic that is recorded on the company's balance sheet. Investors also form their own opinion of Schimatic Cash's value that differs from its market value or its book value, called intrinsic value, which is Schimatic Cash's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Schimatic Cash's market value can be influenced by many factors that don't directly affect Schimatic Cash's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Schimatic Cash's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schimatic Cash is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schimatic Cash's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Schimatic Cash '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 Schimatic Cash's stock 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 Schimatic Cash.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Schimatic Cash on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Schimatic Cash Transactions or generate 0.0% return on investment in Schimatic Cash over 30 days. Schimatic Cash is related to or competes with EzFill Holdings, CS Disco, Waldencast Acquisition, TROOPS, Clearwater Analytics, Blend Labs, and Brightcove. Schimatic Cash Transactions Network.com, Inc., doing business as Smart Chip Technologies, LLC, operates as a software te... More
Schimatic Cash 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 Schimatic Cash's stock 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 Schimatic Cash Transactions upside and downside potential and time the market with a certain degree of confidence.
Schimatic Cash Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schimatic Cash's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schimatic Cash's standard deviation. In reality, there are many statistical measures that can use Schimatic Cash historical prices to predict the future Schimatic Cash's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Schimatic Cash'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.
Schimatic Cash Trans Backtested Returns
We have found three technical indicators for Schimatic Cash Transactions, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Schimatic Cash are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Schimatic Cash Transactions has no correlation between past and present. Overlapping area represents the amount of predictability between Schimatic Cash time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Schimatic Cash Trans price movement. The serial correlation of 0.0 indicates that just 0.0% of current Schimatic Cash price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Schimatic Cash Trans lagged returns against current returns
Autocorrelation, which is Schimatic Cash stock'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 Schimatic Cash's stock expected returns. We can calculate the autocorrelation of Schimatic Cash returns to help us make a trade decision. For example, suppose you find that Schimatic Cash has exhibited high autocorrelation historically, and you observe that the stock 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 |
Schimatic Cash 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 Schimatic Cash stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schimatic Cash stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schimatic Cash stock over time.
Current vs Lagged Prices |
| Timeline |
Schimatic Cash Lagged Returns
When evaluating Schimatic Cash's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schimatic Cash stock have on its future price. Schimatic Cash 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, Schimatic Cash autocorrelation shows the relationship between Schimatic Cash stock current value and its past values and can show if there is a momentum factor associated with investing in Schimatic Cash Transactions.
Regressed Prices |
| Timeline |
Pair Trading with Schimatic Cash
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Schimatic Cash position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Schimatic Cash will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Schimatic Cash could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Schimatic Cash when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Schimatic Cash - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Schimatic Cash Transactions to buy it.
The correlation of Schimatic Cash is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Schimatic Cash moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Schimatic Cash Trans moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Schimatic Cash can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Schimatic Cash Correlation, Schimatic Cash Volatility and Schimatic Cash Alpha and Beta module to complement your research on Schimatic Cash. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Schimatic Cash technical stock 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, stock market cycles, or different charting patterns.