BioNTech Stock Forecast - Day Median Price
| 0A3M Stock | USD 119.15 0.66 0.56% |
BioNTech Stock Forecast is based on your current time horizon.
BioNTech |
| Previous Day Median Price | Day Median Price | Trend |
| 116.52 | 116.52 |
| Check BioNTech Volatility | Backtest BioNTech | Information Ratio |
BioNTech Trading Date Momentum
| On November 27 2024 BioNTech SE was traded for 119.15 at the closing time. The highest price during the trading period was 119.15 and the lowest recorded bid was listed for 113.89 . There was no trading activity during the period 0.0. Lack of trading volume on November 27, 2024 did not affect price variability. The overall trading delta to the current price is 0.76% . |
The median price is the midpoint of the trading periods range.
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Other Forecasting Options for BioNTech
For every potential investor in BioNTech, whether a beginner or expert, BioNTech's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BioNTech Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BioNTech. Basic forecasting techniques help filter out the noise by identifying BioNTech's price trends.BioNTech 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 BioNTech stock to make a market-neutral strategy. Peer analysis of BioNTech could also be used in its relative valuation, which is a method of valuing BioNTech by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
BioNTech SE Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of BioNTech's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of BioNTech's current price.| Cycle Indicators | ||
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BioNTech Market Strength Events
Market strength indicators help investors to evaluate how BioNTech stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BioNTech shares will generate the highest return on investment. By undertsting and applying BioNTech stock market strength indicators, traders can identify BioNTech SE entry and exit signals to maximize returns.
BioNTech Risk Indicators
The analysis of BioNTech'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 BioNTech's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting biontech stock 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 | 2.47 | |||
| Semi Deviation | 2.78 | |||
| Standard Deviation | 3.93 | |||
| Variance | 15.45 | |||
| Downside Variance | 9.91 | |||
| Semi Variance | 7.73 | |||
| Expected Short fall | (3.10) |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of BioNTech to cross-verify your projections. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.