Bet-at-home (Germany) Momentum Indicators Rate of change
| ACX Stock | EUR 2.57 0.02 0.78% |
| Symbol |
The output start index for this execution was sixty with a total number of output elements of one. The Rate of change : ((price/prevPrice)-1)*100 indicator measures the change in bet at home price from one period to the next.
Bet-at-home Technical Analysis Modules
Most technical analysis of Bet-at-home help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Bet-at-home from various momentum indicators to cycle indicators. When you analyze Bet-at-home 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Bet-at-home Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of bet at home AG. We use our internally-developed statistical techniques to arrive at the intrinsic value of bet at home AG based on widely used predictive technical indicators. In general, we focus on analyzing Bet-at-home Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bet-at-home's daily price indicators and compare them against related drivers, such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Bet-at-home's intrinsic value. In addition to deriving basic predictive indicators for Bet-at-home, we also check how macroeconomic factors affect Bet-at-home price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bet-at-home in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bet-at-home's short interest history, or implied volatility extrapolated from Bet-at-home options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Hedge Favorites Invested over 40 shares | |
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Other Information on Investing in Bet-at-home Stock
Bet-at-home financial ratios help investors to determine whether Bet-at-home 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 Bet-at-home with respect to the benefits of owning Bet-at-home security.