Bet-at-home (Germany) Statistic Functions Linear Regression Slope

ACX Stock  EUR 2.76  0.01  0.36%   
Bet-at-home statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Bet-at-home. Bet-at-home value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Bet-at-home statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Linear Regression Slope is the rate of change in bet at home price series over its benchmark or peer price series.

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.

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 statistic functions 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.
Hype
Prediction
LowEstimatedHigh
0.082.765.44
Details
Intrinsic
Valuation
LowRealHigh
0.122.314.99
Details
Naive
Forecast
LowNextHigh
0.182.865.54
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2.632.792.96
Details

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.
Momentum Idea
Momentum
Invested few shares
Investor Favorites Idea
Investor Favorites
Invested over 30 shares
Dividend Beast Idea
Dividend Beast
Invested over 60 shares
Banking Idea
Banking
Invested over 30 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested few shares
Hedge Favorites Idea
Hedge Favorites
Invested over 60 shares
Automobiles and Trucks Idea
Automobiles and Trucks
Invested over 60 shares
Manufacturing Idea
Manufacturing
Invested over 30 shares
Artificial Intelligence Idea
Artificial Intelligence
Invested few shares
Tech Growth Idea
Tech Growth
Invested over 20 shares

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.