Data Modul Stock Forecast - Accumulation Distribution
| DAM Stock | EUR 27.40 1.40 5.38% |
Data Stock Forecast is based on your current time horizon.
Data |
| Check Data Modul Volatility | Backtest Data Modul | Information Ratio |
Data Modul Trading Date Momentum
| On January 07 2025 Data Modul AG was traded for 27.40 at the closing time. The maximum traded price for the trading interval was 27.40 and the lowest daily price was 27.40 . There was no trading activity during the period 1.0. Lack of trading volume on 7th of January 2025 did not affect price variability. The overall trading delta to the closing price today is 0.00% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
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Other Forecasting Options for Data Modul
For every potential investor in Data, whether a beginner or expert, Data Modul's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Data Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Data. Basic forecasting techniques help filter out the noise by identifying Data Modul's price trends.Data Modul 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 Data Modul stock to make a market-neutral strategy. Peer analysis of Data Modul could also be used in its relative valuation, which is a method of valuing Data Modul by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Data Modul AG 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 Data Modul'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 Data Modul's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Data Modul Market Strength Events
Market strength indicators help investors to evaluate how Data Modul stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Data Modul shares will generate the highest return on investment. By undertsting and applying Data Modul stock market strength indicators, traders can identify Data Modul AG entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.05 | |||
| Day Median Price | 27.4 | |||
| Day Typical Price | 27.4 | |||
| Price Action Indicator | 0.7 | |||
| Period Momentum Indicator | 1.4 |
Data Modul Risk Indicators
The analysis of Data Modul'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 Data Modul's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting data 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 | 2.07 | |||
| Semi Deviation | 2.58 | |||
| Standard Deviation | 2.99 | |||
| Variance | 8.92 | |||
| Downside Variance | 10.27 | |||
| Semi Variance | 6.66 | |||
| Expected Short fall | (2.63) |
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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Data Modul financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Modul security.