DexCom (Germany) Profile
| DC4 Etf | 55.74 1.72 2.99% |
PerformanceFair
|
DexCom is selling for under 55.74 as of the 13th of February 2026; that is 2.99% down since the beginning of the trading day. The etf's last reported lowest price was 55.74. DexCom has hardly any chance of experiencing financial distress in the next few years but had a somewhat fair performance during the last 90 days. The performance scores are derived for the period starting the 15th of November 2025 and ending today, the 13th of February 2026. Click here to learn more.
DexCom Risk Profiles
The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in DexCom. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures.
| Mean Deviation | 1.77 | |||
| Semi Deviation | 3.39 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.35 |
DexCom Technical Analysis
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. DexCom Tanh Of Price Series is a hyperbolic price transformation function.
DexCom Against Markets
DexCom Predictive Daily Indicators
DexCom intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of DexCom etf daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
DexCom Forecast Models
DexCom's time-series forecasting models are one of many DexCom's etf analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary DexCom's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.DexCom 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 DexCom etf to make a market-neutral strategy. Peer analysis of DexCom could also be used in its relative valuation, which is a method of valuing DexCom by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |