Molecular Data Stock Market Value
| MKDTY Stock | USD 0.0002 0.00 0.00% |
| Symbol | Molecular |
Molecular Data '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 Molecular Data'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 Molecular Data.
| 06/09/2024 |
| 12/31/2025 |
If you would invest 0.00 in Molecular Data on June 9, 2024 and sell it all today you would earn a total of 0.00 from holding Molecular Data or generate 0.0% return on investment in Molecular Data over 570 days. More
Molecular Data 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 Molecular Data'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 Molecular Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1267 | |||
| Maximum Drawdown | 216.67 |
Molecular Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Molecular Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Molecular Data's standard deviation. In reality, there are many statistical measures that can use Molecular Data historical prices to predict the future Molecular Data's volatility.| Risk Adjusted Performance | 0.1005 | |||
| Jensen Alpha | 2.92 | |||
| Total Risk Alpha | 1.02 | |||
| Treynor Ratio | 1.19 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Molecular Data'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.
Molecular Data Backtested Returns
Molecular Data is out of control given 3 months investment horizon. Molecular Data has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for seventeen different technical indicators, which can help you to evaluate if expected returns of 3.18% are justified by taking the suggested risk. Use Molecular Data Risk Adjusted Performance of 0.1005, standard deviation of 23.77, and Mean Deviation of 7.9 to evaluate company specific risk that cannot be diversified away. Molecular Data holds a performance score of 10 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 2.58, which conveys 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, Molecular Data will likely underperform. Use Molecular Data variance and rate of daily change , to analyze future returns on Molecular Data.
Auto-correlation | -0.05 |
Very weak reverse predictability
Molecular Data has very weak reverse predictability. Overlapping area represents the amount of predictability between Molecular Data time series from 9th of June 2024 to 21st of March 2025 and 21st of March 2025 to 31st of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Molecular Data price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Molecular Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Molecular Data lagged returns against current returns
Autocorrelation, which is Molecular Data 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 Molecular Data's pink sheet expected returns. We can calculate the autocorrelation of Molecular Data returns to help us make a trade decision. For example, suppose you find that Molecular Data 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 |
Molecular Data 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 Molecular Data pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Molecular Data pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Molecular Data pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Molecular Data Lagged Returns
When evaluating Molecular Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Molecular Data pink sheet have on its future price. Molecular Data 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, Molecular Data autocorrelation shows the relationship between Molecular Data pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Molecular Data.
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.Additional Tools for Molecular Pink Sheet Analysis
When running Molecular Data's price analysis, check to measure Molecular Data's 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 Molecular Data is operating at the current time. Most of Molecular Data's value examination focuses on studying past and present price action to predict the probability of Molecular Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Molecular Data's price. Additionally, you may evaluate how the addition of Molecular Data to your portfolios can decrease your overall portfolio volatility.