Alliance Data (Germany) Technical Analysis
| LID Stock | EUR 61.72 0.96 1.58% |
As of the 17th of February 2026, Alliance Data shows the Risk Adjusted Performance of 0.0642, mean deviation of 1.74, and Downside Deviation of 2.88. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Alliance Data, as well as the relationship between them. Please confirm Alliance Data Systems standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if Alliance Data Systems is priced correctly, providing market reflects its regular price of 61.72 per share.
Alliance Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alliance, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AllianceAlliance |
Alliance Data '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 Alliance Data'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 Alliance Data.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Alliance Data on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Alliance Data Systems or generate 0.0% return on investment in Alliance Data over 90 days. Alliance Data is related to or competes with Merit Medical, COLUMBIA SPORTSWEAR, Mercator Medical, USWE SPORTS, Transport International, and Columbia Sportswear. Alliance Data Systems Corporation provides data-driven marketing and loyalty solutions worldwide More
Alliance Data 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 Alliance Data'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 Alliance Data Systems upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.88 | |||
| Information Ratio | 0.0431 | |||
| Maximum Drawdown | 15.58 | |||
| Value At Risk | (3.66) | |||
| Potential Upside | 3.74 |
Alliance Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alliance Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alliance Data's standard deviation. In reality, there are many statistical measures that can use Alliance Data historical prices to predict the future Alliance Data's volatility.| Risk Adjusted Performance | 0.0642 | |||
| Jensen Alpha | 0.1684 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0373 | |||
| Treynor Ratio | (8.90) |
Alliance Data February 17, 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 | 0.0642 | |||
| Market Risk Adjusted Performance | (8.89) | |||
| Mean Deviation | 1.74 | |||
| Semi Deviation | 2.61 | |||
| Downside Deviation | 2.88 | |||
| Coefficient Of Variation | 1405.47 | |||
| Standard Deviation | 2.49 | |||
| Variance | 6.21 | |||
| Information Ratio | 0.0431 | |||
| Jensen Alpha | 0.1684 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0373 | |||
| Treynor Ratio | (8.90) | |||
| Maximum Drawdown | 15.58 | |||
| Value At Risk | (3.66) | |||
| Potential Upside | 3.74 | |||
| Downside Variance | 8.29 | |||
| Semi Variance | 6.81 | |||
| Expected Short fall | (1.76) | |||
| Skewness | (1.25) | |||
| Kurtosis | 5.17 |
Alliance Data Systems Backtested Returns
Alliance Data appears to be very steady, given 3 months investment horizon. Alliance Data Systems secures Sharpe Ratio (or Efficiency) of 0.0975, which signifies that the company had a 0.0975 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Alliance Data Systems, which you can use to evaluate the volatility of the firm. Please makes use of Alliance Data's Mean Deviation of 1.74, risk adjusted performance of 0.0642, and Downside Deviation of 2.88 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Alliance Data holds a performance score of 7. The firm shows a Beta (market volatility) of -0.0188, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alliance Data are expected to decrease at a much lower rate. During the bear market, Alliance Data is likely to outperform the market. Please check Alliance Data's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Alliance Data's price patterns will revert.
Auto-correlation | -0.31 |
Poor reverse predictability
Alliance Data Systems has poor reverse predictability. Overlapping area represents the amount of predictability between Alliance Data time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Alliance Data Systems price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Alliance Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 11.97 |
Alliance Data 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.
Alliance Data Systems Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Alliance Data Systems volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Alliance Data 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 Alliance Data Systems 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 Alliance Data Systems based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alliance Data Systems price pattern first instead of the macroeconomic environment surrounding Alliance Data Systems. By analyzing Alliance Data'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 Alliance Data'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 Alliance Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alliance Data February 17, 2026 Technical Indicators
Most technical analysis of Alliance 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 Alliance from various momentum indicators to cycle indicators. When you analyze Alliance 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 | 0.0642 | |||
| Market Risk Adjusted Performance | (8.89) | |||
| Mean Deviation | 1.74 | |||
| Semi Deviation | 2.61 | |||
| Downside Deviation | 2.88 | |||
| Coefficient Of Variation | 1405.47 | |||
| Standard Deviation | 2.49 | |||
| Variance | 6.21 | |||
| Information Ratio | 0.0431 | |||
| Jensen Alpha | 0.1684 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0373 | |||
| Treynor Ratio | (8.90) | |||
| Maximum Drawdown | 15.58 | |||
| Value At Risk | (3.66) | |||
| Potential Upside | 3.74 | |||
| Downside Variance | 8.29 | |||
| Semi Variance | 6.81 | |||
| Expected Short fall | (1.76) | |||
| Skewness | (1.25) | |||
| Kurtosis | 5.17 |
Alliance Data February 17, 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 Alliance 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 | 1.98 | ||
| Daily Balance Of Power | 0.79 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 61.11 | ||
| Day Typical Price | 61.31 | ||
| Price Action Indicator | 1.09 | ||
| Market Facilitation Index | 0.01 |
Complementary Tools for Alliance Stock analysis
When running Alliance Data's price analysis, check to measure Alliance Data'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 Alliance Data is operating at the current time. Most of Alliance Data's value examination focuses on studying past and present price action to predict the probability of Alliance Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alliance Data's price. Additionally, you may evaluate how the addition of Alliance Data to your portfolios can decrease your overall portfolio volatility.
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