Rosetta Genomics Stock Market Value
| ROSGQ Stock | USD 0.0002 0.0001 100.00% |
| Symbol | Rosetta |
Rosetta Genomics '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 Rosetta Genomics' 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 Rosetta Genomics.
| 12/22/2025 |
| 01/21/2026 |
If you would invest 0.00 in Rosetta Genomics on December 22, 2025 and sell it all today you would earn a total of 0.00 from holding Rosetta Genomics or generate 0.0% return on investment in Rosetta Genomics over 30 days. Rosetta Genomics Ltd. operates as a genomic diagnostics company worldwide More
Rosetta Genomics 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 Rosetta Genomics' 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 Rosetta Genomics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1212 | |||
| Maximum Drawdown | 100.0 |
Rosetta Genomics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rosetta Genomics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rosetta Genomics' standard deviation. In reality, there are many statistical measures that can use Rosetta Genomics historical prices to predict the future Rosetta Genomics' volatility.| Risk Adjusted Performance | 0.1021 | |||
| Jensen Alpha | 1.31 | |||
| Total Risk Alpha | 0.4865 | |||
| Treynor Ratio | 0.346 |
Rosetta Genomics Backtested Returns
Rosetta Genomics is out of control given 3 months investment horizon. Rosetta Genomics maintains Sharpe Ratio (i.e., Efficiency) of 0.13, which implies the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-one different technical indicators, which can help you to evaluate if expected returns of 1.64% are justified by taking the suggested risk. Use Rosetta Genomics Variance of 161.29, risk adjusted performance of 0.1021, and Coefficient Of Variation of 787.4 to evaluate company specific risk that cannot be diversified away. Rosetta Genomics holds a performance score of 10 on a scale of zero to a hundred. The company holds a Beta of 4.63, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Rosetta Genomics will likely underperform. Use Rosetta Genomics total risk alpha, rate of daily change, as well as the relationship between the Rate Of Daily Change and period momentum indicator , to analyze future returns on Rosetta Genomics.
Auto-correlation | 0.00 |
No correlation between past and present
Rosetta Genomics has no correlation between past and present. Overlapping area represents the amount of predictability between Rosetta Genomics time series from 22nd of December 2025 to 6th of January 2026 and 6th of January 2026 to 21st of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Rosetta Genomics price movement. The serial correlation of 0.0 indicates that just 0.0% of current Rosetta Genomics 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 |
Rosetta Genomics lagged returns against current returns
Autocorrelation, which is Rosetta Genomics 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 Rosetta Genomics' pink sheet expected returns. We can calculate the autocorrelation of Rosetta Genomics returns to help us make a trade decision. For example, suppose you find that Rosetta Genomics 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 |
Rosetta Genomics 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 Rosetta Genomics pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rosetta Genomics pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rosetta Genomics pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Rosetta Genomics Lagged Returns
When evaluating Rosetta Genomics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rosetta Genomics pink sheet have on its future price. Rosetta Genomics 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, Rosetta Genomics autocorrelation shows the relationship between Rosetta Genomics pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Rosetta Genomics.
Regressed Prices |
| Timeline |
Pair Trading with Rosetta Genomics
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 Rosetta Genomics 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 Rosetta Genomics will appreciate offsetting losses from the drop in the long position's value.Moving together with Rosetta Pink Sheet
Moving against Rosetta Pink Sheet
The ability to find closely correlated positions to Rosetta Genomics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Rosetta Genomics 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 Rosetta Genomics - 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 Rosetta Genomics to buy it.
The correlation of Rosetta Genomics 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 Rosetta Genomics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Rosetta Genomics 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 Rosetta Genomics 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.Additional Tools for Rosetta Pink Sheet Analysis
When running Rosetta Genomics' price analysis, check to measure Rosetta Genomics' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Rosetta Genomics is operating at the current time. Most of Rosetta Genomics' value examination focuses on studying past and present price action to predict the probability of Rosetta Genomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rosetta Genomics' price. Additionally, you may evaluate how the addition of Rosetta Genomics to your portfolios can decrease your overall portfolio volatility.