Molecular Data Pink Sheet Forecast - Rate Of Daily Change
MKDTYDelisted Stock | USD 0.01 0.01 2,567% |
Molecular Pink Sheet Forecast is based on your current time horizon.
Molecular |
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Molecular Data Trading Date Momentum
On February 06 2023 Molecular Data was traded for 0 at the closing time. The highest daily price throughout the period was 0 and the lowest price was 0 . The daily volume was 307. The net trading volume on 02/06/2023 did not cause price change. The trading delta at closing time to current closing price is 86.96% . |
The rate of daily change can indicate whether a given asset was oversold or over brought during a given period.
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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.
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 | 90.4 | |||
Semi Deviation | 18.88 | |||
Standard Deviation | 213.51 | |||
Variance | 45587.58 | |||
Downside Variance | 2880.82 | |||
Semi Variance | 356.47 | |||
Expected Short fall | (300.92) |
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.
Also Currently Popular
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.Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in estimate. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Consideration for investing in Molecular Pink Sheet
If you are still planning to invest in Molecular Data check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Molecular Data's history and understand the potential risks before investing.
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