Red Branch Technologies Stock Market Value
| RBTI Stock | USD 0.0001 0.00 0.00% |
| Symbol | Red |
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 Red Branch. If investors know Red 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 Red Branch 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) | Return On Assets (830.98) |
The market value of Red Branch Technologies is measured differently than its book value, which is the value of Red that is recorded on the company's balance sheet. Investors also form their own opinion of Red Branch's value that differs from its market value or its book value, called intrinsic value, which is Red Branch'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 Red Branch's market value can be influenced by many factors that don't directly affect Red Branch'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 Red Branch's value and its price as these two are different measures arrived at by different means. Investors typically determine if Red Branch is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Red Branch'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.
Red Branch '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 Red Branch'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 Red Branch.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Red Branch on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Red Branch Technologies or generate 0.0% return on investment in Red Branch over 30 days. Red Branch is related to or competes with OLB. Red Branch Technologies, Inc., a technology holding company, engages in the development and commercialization of securit... More
Red Branch 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 Red Branch'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 Red Branch Technologies upside and downside potential and time the market with a certain degree of confidence.
Red Branch Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Red Branch's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Red Branch's standard deviation. In reality, there are many statistical measures that can use Red Branch historical prices to predict the future Red Branch's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Red Branch'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.
Red Branch Technologies Backtested Returns
We have found three technical indicators for Red Branch Technologies, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Red Branch are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Red Branch Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between Red Branch 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 Red Branch Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current Red Branch 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 |
Red Branch Technologies lagged returns against current returns
Autocorrelation, which is Red Branch 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 Red Branch's stock expected returns. We can calculate the autocorrelation of Red Branch returns to help us make a trade decision. For example, suppose you find that Red Branch 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 |
Red Branch 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 Red Branch stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Red Branch stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Red Branch stock over time.
Current vs Lagged Prices |
| Timeline |
Red Branch Lagged Returns
When evaluating Red Branch's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Red Branch stock have on its future price. Red Branch 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, Red Branch autocorrelation shows the relationship between Red Branch stock current value and its past values and can show if there is a momentum factor associated with investing in Red Branch Technologies.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Red Branch Technologies offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Red Branch'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 Red Branch Technologies Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Red Branch Technologies Stock:Check out Red Branch Correlation, Red Branch Volatility and Red Branch Alpha and Beta module to complement your research on Red Branch. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Red Branch 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.