Bet-at-home (Germany) Price on June 25, 2024

Bet-at-home Valuation on June 25, 2024

Bet-at-home Trading Date Momentum on June 25, 2024

On June 26 2024 bet at home AG was traded for  2.69  at the closing time. The maximum traded price for the trading interval was 2.80  and the lowest daily price was  2.69 . The daily volume was recorded at 90.0. The volume of trading on 26th of June 2024 played a part in the next trading day price drop. The overall trading delta to the next closing price was 0.37% . The trading date delta to the closing price today is 22.59% .

bet at home Fundamentals Correlations and Trends

By evaluating Bet-at-home's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Bet-at-home's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Bet-at-home financial account trend analysis is a perfect complement when working with valuation or volatility modules.

Bet-at-home investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Bet-at-home is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in bet at home will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Bet-at-home stock prices may prove useful in developing a viable investing in Bet-at-home

Bet-at-home technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.

Market strength indicators help investors to evaluate how Bet-at-home stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bet-at-home shares will generate the highest return on investment. By undertsting and applying Bet-at-home stock market strength indicators, traders can identify bet at home AG entry and exit signals to maximize returns

Predictive indicators are helping investors to find signals for Bet-at-home's price direction in advance. Along with the technical and fundamental analysis of Bet-at-home Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Bet-at-home to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

When running Bet-at-home's price analysis, check to measure Bet-at-home's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bet-at-home is operating at the current time. Most of Bet-at-home's value examination focuses on studying past and present price action to predict the probability of Bet-at-home's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bet-at-home's price. Additionally, you may evaluate how the addition of Bet-at-home to your portfolios can decrease your overall portfolio volatility.