Albemarle (Germany) Technical Analysis
| AMC Stock | EUR 146.62 3.94 2.76% |
As of the 23rd of February, Albemarle shows the risk adjusted performance of 0.1356, and Mean Deviation of 2.83. Albemarle technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Albemarle semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Albemarle is priced correctly, providing market reflects its regular price of 146.62 per share.
Albemarle Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Albemarle, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlbemarleAlbemarle |
Albemarle 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Albemarle's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Albemarle.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in Albemarle on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding Albemarle or generate 0.0% return on investment in Albemarle over 90 days. Albemarle is related to or competes with Zijin Mining, Knight-Swift Transportation, Transportadora, Fukuyama Transporting, Tencent Music, Nicola Mining, and Perseus Mining. Albemarle Corporation develops, manufactures, and markets engineered specialty chemicals worldwide More
Albemarle Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Albemarle's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Albemarle upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.6 | |||
| Information Ratio | 0.1455 | |||
| Maximum Drawdown | 18.01 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 7.21 |
Albemarle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Albemarle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Albemarle's standard deviation. In reality, there are many statistical measures that can use Albemarle historical prices to predict the future Albemarle's volatility.| Risk Adjusted Performance | 0.1356 | |||
| Jensen Alpha | 0.5355 | |||
| Total Risk Alpha | 0.2647 | |||
| Sortino Ratio | 0.148 | |||
| Treynor Ratio | 0.6251 |
Albemarle February 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1356 | |||
| Market Risk Adjusted Performance | 0.6351 | |||
| Mean Deviation | 2.83 | |||
| Semi Deviation | 3.33 | |||
| Downside Deviation | 3.6 | |||
| Coefficient Of Variation | 597.25 | |||
| Standard Deviation | 3.66 | |||
| Variance | 13.43 | |||
| Information Ratio | 0.1455 | |||
| Jensen Alpha | 0.5355 | |||
| Total Risk Alpha | 0.2647 | |||
| Sortino Ratio | 0.148 | |||
| Treynor Ratio | 0.6251 | |||
| Maximum Drawdown | 18.01 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 7.21 | |||
| Downside Variance | 12.98 | |||
| Semi Variance | 11.11 | |||
| Expected Short fall | (3.20) | |||
| Skewness | (0.28) | |||
| Kurtosis | 0.3997 |
Albemarle Backtested Returns
Albemarle appears to be very steady, given 3 months investment horizon. Albemarle secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17 % return per unit of standard deviation over the last 3 months. By analyzing Albemarle's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please makes use of Albemarle's risk adjusted performance of 0.1356, and Mean Deviation of 2.83 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Albemarle holds a performance score of 13. The firm shows a Beta (market volatility) of 0.97, which signifies possible diversification benefits within a given portfolio. Albemarle returns are very sensitive to returns on the market. As the market goes up or down, Albemarle is expected to follow. Please check Albemarle's market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to make a quick decision on whether Albemarle's price patterns will revert.
Auto-correlation | -0.45 |
Modest reverse predictability
Albemarle has modest reverse predictability. Overlapping area represents the amount of predictability between Albemarle time series from 25th of November 2025 to 9th of January 2026 and 9th of January 2026 to 23rd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Albemarle price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Albemarle price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 66.8 |
Albemarle 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.
Albemarle Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Albemarle across different markets.
About Albemarle Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Albemarle on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Albemarle based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Albemarle price pattern first instead of the macroeconomic environment surrounding Albemarle. By analyzing Albemarle's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Albemarle's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Albemarle specific price patterns or momentum indicators. Please read more on our technical analysis page.
Albemarle February 23, 2026 Technical Indicators
Most technical analysis of Albemarle 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 Albemarle from various momentum indicators to cycle indicators. When you analyze Albemarle charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1356 | |||
| Market Risk Adjusted Performance | 0.6351 | |||
| Mean Deviation | 2.83 | |||
| Semi Deviation | 3.33 | |||
| Downside Deviation | 3.6 | |||
| Coefficient Of Variation | 597.25 | |||
| Standard Deviation | 3.66 | |||
| Variance | 13.43 | |||
| Information Ratio | 0.1455 | |||
| Jensen Alpha | 0.5355 | |||
| Total Risk Alpha | 0.2647 | |||
| Sortino Ratio | 0.148 | |||
| Treynor Ratio | 0.6251 | |||
| Maximum Drawdown | 18.01 | |||
| Value At Risk | (6.13) | |||
| Potential Upside | 7.21 | |||
| Downside Variance | 12.98 | |||
| Semi Variance | 11.11 | |||
| Expected Short fall | (3.20) | |||
| Skewness | (0.28) | |||
| Kurtosis | 0.3997 |
Albemarle February 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Albemarle stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 2.90 | ||
| Daily Balance Of Power | 0.84 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 144.28 | ||
| Day Typical Price | 145.06 | ||
| Price Action Indicator | 4.31 | ||
| Market Facilitation Index | 0.05 |
Complementary Tools for Albemarle Stock analysis
When running Albemarle's price analysis, check to measure Albemarle'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 Albemarle is operating at the current time. Most of Albemarle's value examination focuses on studying past and present price action to predict the probability of Albemarle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Albemarle's price. Additionally, you may evaluate how the addition of Albemarle to your portfolios can decrease your overall portfolio volatility.
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