Alibaba Group (Brazil) Price on November 27, 2024
| BABA34 Stock | BRL 19.03 0.41 2.11% |
If you're considering investing in Alibaba Stock, it is important to understand the factors that can impact its price. As of today, the current price of Alibaba Group stands at 19.03, as last reported on the 11th of December 2024, with the highest price reaching 19.33 and the lowest price hitting 18.83 during the day. Alibaba Group appears to be not too volatile, given 3 months investment horizon. Alibaba Group Holding secures Sharpe Ratio (or Efficiency) of 0.0713, which signifies that the company had a 0.0713% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Alibaba Group Holding, which you can use to evaluate the volatility of the firm. Please makes use of Alibaba Group's Mean Deviation of 2.39, downside deviation of 2.48, and Risk Adjusted Performance of 0.0861 to double-check if our risk estimates are consistent with your expectations.
Alibaba Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Alibaba |
Sharpe Ratio = 0.0713
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Estimated Market Risk
| 3.06 actual daily | 27 73% of assets are more volatile |
Expected Return
| 0.22 actual daily | 4 96% of assets have higher returns |
Risk-Adjusted Return
| 0.07 actual daily | 5 95% of assets perform better |
Based on monthly moving average Alibaba Group is performing at about 5% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Alibaba Group by adding it to a well-diversified portfolio.
Alibaba Group Valuation on November 27, 2024
It is possible to determine the worth of Alibaba Group on a given historical date. On November 27, 2024 Alibaba was worth 18.06 at the beginning of the trading date compared to the closed value of 18.42. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Alibaba Group stock. Still, in general, we apply an absolute valuation method to find Alibaba Group's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Alibaba Group where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Alibaba Group's related companies.
| Open | High | Low | Close | Volume | |
| 17.88 | 17.90 | 17.60 | 17.65 | 159,777 | |
11/27/2024 | 18.06 | 18.42 | 18.00 | 18.42 | 311,216 |
| 18.45 | 18.45 | 17.97 | 18.20 | 122,034 |
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Alibaba Group Trading Date Momentum on November 27, 2024
| On November 28 2024 Alibaba Group Holding was traded for 18.20 at the closing time. The highest price during the trading period was 18.45 and the lowest recorded bid was listed for 17.97 . The volume for the day was 122 K. This history from November 28, 2024 contributed to the next trading day price decline. The overall trading delta to the next closing price was 1.19% . The overall trading delta to the current price is 6.95% . |
Alibaba Group Holding Fundamentals Correlations and Trends
By evaluating Alibaba Group'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 Alibaba Group's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Alibaba financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Alibaba Group Stock history
Alibaba Group 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 Alibaba is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Alibaba Group Holding 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 Alibaba Group stock prices may prove useful in developing a viable investing in Alibaba Group
Alibaba Group Holding Limited, through its subsidiaries, provides technology infrastructure and marketing reach to help merchants, brands, retailers, and other businesses to engage with their users and customers in the Peoples Republic of China and internationally. The company was incorporated in 1999 and is based in Hangzhou, the Peoples Republic of China. ALIBABAGR DRN operates under Internet Retail classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 245700 people.
Alibaba Group Stock Technical Analysis
Alibaba Group 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.
Price Boundaries
Alibaba Group Period Price Range
Low | December 11, 2024
| High |
0.00 | 0.00 |
Alibaba Group Holding cannot be verified against its exchange. Please verify the symbol is currently traded on Sao Paulo Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Alibaba Group December 11, 2024 Market Strength
Market strength indicators help investors to evaluate how Alibaba Group stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Alibaba Group shares will generate the highest return on investment. By undertsting and applying Alibaba Group stock market strength indicators, traders can identify Alibaba Group Holding entry and exit signals to maximize returns
Alibaba Group Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Alibaba Group's price direction in advance. Along with the technical and fundamental analysis of Alibaba Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Alibaba 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.
| Risk Adjusted Performance | 0.0861 | |||
| Jensen Alpha | 0.3716 | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | 0.0823 | |||
| Treynor Ratio | (0.69) |
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Alibaba Stock analysis
When running Alibaba Group's price analysis, check to measure Alibaba Group'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 Alibaba Group is operating at the current time. Most of Alibaba Group's value examination focuses on studying past and present price action to predict the probability of Alibaba Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alibaba Group's price. Additionally, you may evaluate how the addition of Alibaba Group to your portfolios can decrease your overall portfolio volatility.
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