Molecular Data Pink Sheet Forecast - Simple Exponential Smoothing
| MKDTY Stock | USD 0.0001 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of Molecular Data on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.000017 and the sum of the absolute errors of 0. Molecular Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Molecular Data's share price is below 20 . This indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Molecular Data hype-based prediction, you can estimate the value of Molecular Data from the perspective of Molecular Data response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Molecular Data on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.000017 and the sum of the absolute errors of 0. Molecular Data after-hype prediction price | USD 7.1E-5 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Molecular |
Molecular Data Additional Predictive Modules
Most predictive techniques to examine Molecular price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Molecular using various technical indicators. When you analyze Molecular charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Molecular Data Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Molecular Data on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0.000017, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Molecular Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Molecular Data's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Molecular Data Pink Sheet Forecast Pattern
| Backtest Molecular Data | Molecular Data Price Prediction | Buy or Sell Advice |
Molecular Data Forecasted Value
In the context of forecasting Molecular Data's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Molecular Data's downside and upside margins for the forecasting period are 0.000001 and 25.44, respectively. We have considered Molecular Data's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Molecular Data pink sheet data series using in forecasting. Note that when a statistical model is used to represent Molecular Data pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 97.0898 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0711 |
| SAE | Sum of the absolute errors | 0.001 |
Predictive Modules for Molecular Data
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Molecular Data. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 After-Hype Price Prediction Density Analysis
As far as predicting the price of Molecular Data at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Molecular Data or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Molecular Data, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Molecular Data Estimiated After-Hype Price Volatility
In the context of predicting Molecular Data's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Molecular Data's historical news coverage. Molecular Data's after-hype downside and upside margins for the prediction period are 0.00 and 25.44, respectively. We have considered Molecular Data's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Molecular Data is out of control at this time. Analysis and calculation of next after-hype price of Molecular Data is based on 3 months time horizon.
Molecular Data Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Molecular Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Molecular Data backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Molecular Data, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
2.47 | 25.44 | 0.00 | 0.42 | 0 Events / Month | 2 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0001 | 0.000071 | 28.82 |
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Molecular Data Hype Timeline
Molecular Data is now traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.42. Molecular is anticipated to decline in value after the next headline, with the price expected to drop to 7.1E-5. The average volatility of media hype impact on the company price is insignificant. The price reduction on the next news is expected to be -28.82%, whereas the daily expected return is now at 2.47%. The volatility of related hype on Molecular Data is about 15075.56%, with the expected price after the next announcement by competition of 0.42. The company had not issued any dividends in recent years. Assuming the 90 days horizon the next anticipated press release will be uncertain. Check out Historical Fundamental Analysis of Molecular Data to cross-verify your projections.Molecular Data Related Hype Analysis
Having access to credible news sources related to Molecular Data's direct competition is more important than ever and may enhance your ability to predict Molecular Data's future price movements. Getting to know how Molecular Data's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Molecular Data may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SHWDY | Showa Denko KK | 0.49 | 18 per month | 1.97 | 0.14 | 8.20 | (4.35) | 18.39 | |
| NDEKY | Nitto Denko Corp | 0.00 | 0 per month | 0.00 | (0.09) | 2.37 | (3.43) | 9.30 | |
| SHWDF | Showa Denko KK | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ASGLY | AGC Inc ADR | 0.00 | 0 per month | 2.22 | 0.06 | 5.37 | (4.76) | 13.09 | |
| EVKIY | Evonik Industries AG | 0.00 | 0 per month | 0.00 | (0.09) | 3.32 | (4.18) | 12.98 | |
| IMCDY | IMCD NV | 0.43 | 6 per month | 0.00 | (0.14) | 2.77 | (4.69) | 9.47 | |
| OCLDY | Orica Ltd ADR | 0.00 | 0 per month | 0.00 | 0.1 | 3.74 | (0.32) | 7.01 | |
| SOMMY | Sumitomo Chemical Co | 0.43 | 13 per month | 1.65 | (0.05) | 3.23 | (3.18) | 7.90 |
Other Forecasting Options for Molecular Data
For every potential investor in Molecular, whether a beginner or expert, Molecular Data's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Molecular Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Molecular. Basic forecasting techniques help filter out the noise by identifying Molecular Data's price trends.Molecular Data Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Molecular Data pink sheet to make a market-neutral strategy. Peer analysis of Molecular Data could also be used in its relative valuation, which is a method of valuing Molecular Data by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Molecular Data Market Strength Events
Market strength indicators help investors to evaluate how Molecular Data pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Molecular Data shares will generate the highest return on investment. By undertsting and applying Molecular Data pink sheet market strength indicators, traders can identify Molecular Data entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Molecular Data Risk Indicators
The analysis of Molecular Data's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Molecular Data's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting molecular pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 7.97 | |||
| Standard Deviation | 24.65 | |||
| Variance | 607.51 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Molecular Data
The number of cover stories for Molecular Data depends on current market conditions and Molecular Data's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Molecular Data is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Molecular Data's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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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.