Molecular Data Stock Technical Analysis
| MKDTY Stock | USD 0.0002 0.00 0.00% |
As of the 5th of January, Molecular Data secures the Standard Deviation of 23.77, risk adjusted performance of 0.1016, and Mean Deviation of 7.9. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Molecular Data, as well as the relationship between them.
Molecular Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Molecular, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MolecularMolecular |
Molecular Data technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Molecular Data Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Molecular Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Molecular Data Trend Analysis
Use this graph to draw trend lines for Molecular Data. You can use it to identify possible trend reversals for Molecular Data as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Molecular Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Molecular Data Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Molecular Data applied against its price change over selected period. The best fit line has a slop of 0.00000356 , which means Molecular Data will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Molecular Data price change compared to its average price change.About Molecular Data Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Molecular Data on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Molecular Data based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Molecular Data price pattern first instead of the macroeconomic environment surrounding Molecular Data. By analyzing Molecular Data's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Molecular Data's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Molecular Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
Molecular Data January 5, 2026 Technical Indicators
Most technical analysis of Molecular help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Molecular from various momentum indicators to cycle indicators. When you analyze Molecular charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1016 | |||
| Market Risk Adjusted Performance | (0.50) | |||
| Mean Deviation | 7.9 | |||
| Coefficient Of Variation | 771.47 | |||
| Standard Deviation | 23.77 | |||
| Variance | 564.89 | |||
| Information Ratio | 0.1268 | |||
| Jensen Alpha | 3.41 | |||
| Total Risk Alpha | 1.2 | |||
| Treynor Ratio | (0.51) | |||
| Maximum Drawdown | 216.67 | |||
| Skewness | 4.43 | |||
| Kurtosis | 27.41 |
Molecular Data January 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Molecular stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
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.