Bet-at-home (Germany) Price Transform Weighted Close Price
| ACX Stock | EUR 2.64 0.05 1.93% |
| Symbol |
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of bet at home high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only Bet-at-home closing price as input.
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 | ||
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| 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 price transform 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.
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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.