AXA Strategy (Switzerland) Technical Analysis
| 0P0001HI44 | 148.48 0.02 0.01% |
AXA Strategy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as AXA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AXAAXA |
AXA Strategy '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 AXA Strategy's fund 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 AXA Strategy.
| 11/25/2025 |
| 02/23/2026 |
If you would invest 0.00 in AXA Strategy on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding AXA Strategy or generate 0.0% return on investment in AXA Strategy over 90 days.
AXA Strategy 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 AXA Strategy's fund 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 AXA Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5877 | |||
| Information Ratio | 0.1254 | |||
| Maximum Drawdown | 4.09 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.11 |
AXA Strategy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AXA Strategy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AXA Strategy's standard deviation. In reality, there are many statistical measures that can use AXA Strategy historical prices to predict the future AXA Strategy's volatility.| Risk Adjusted Performance | 0.1884 | |||
| Jensen Alpha | 0.1497 | |||
| Total Risk Alpha | 0.0918 | |||
| Sortino Ratio | 0.1384 | |||
| Treynor Ratio | 5.03 |
AXA Strategy 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 | 0.1884 | |||
| Market Risk Adjusted Performance | 5.04 | |||
| Mean Deviation | 0.4705 | |||
| Semi Deviation | 0.2797 | |||
| Downside Deviation | 0.5877 | |||
| Coefficient Of Variation | 400.87 | |||
| Standard Deviation | 0.6488 | |||
| Variance | 0.421 | |||
| Information Ratio | 0.1254 | |||
| Jensen Alpha | 0.1497 | |||
| Total Risk Alpha | 0.0918 | |||
| Sortino Ratio | 0.1384 | |||
| Treynor Ratio | 5.03 | |||
| Maximum Drawdown | 4.09 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.3454 | |||
| Semi Variance | 0.0783 | |||
| Expected Short fall | (0.55) | |||
| Skewness | 0.4855 | |||
| Kurtosis | 2.72 |
AXA Strategy Backtested Returns
AXA Strategy is very steady at the moment. AXA Strategy retains Efficiency (Sharpe Ratio) of 0.29, which signifies that the fund had a 0.29 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for AXA Strategy, which you can use to evaluate the volatility of the entity. Please confirm AXA Strategy's coefficient of variation of 400.87, and Market Risk Adjusted Performance of 5.04 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund owns a Beta (Systematic Risk) of 0.0302, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AXA Strategy's returns are expected to increase less than the market. However, during the bear market, the loss of holding AXA Strategy is expected to be smaller as well.
Auto-correlation | 0.75 |
Good predictability
AXA Strategy has good predictability. Overlapping area represents the amount of predictability between AXA Strategy 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 AXA Strategy price movement. The serial correlation of 0.75 indicates that around 75.0% of current AXA Strategy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 1.51 |
AXA Strategy technical fund 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, fund market cycles, or different charting patterns.
AXA Strategy 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 AXA Strategy across different markets.
AXA Strategy February 23, 2026 Technical Indicators
Most technical analysis of AXA 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 AXA from various momentum indicators to cycle indicators. When you analyze AXA 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 | 0.1884 | |||
| Market Risk Adjusted Performance | 5.04 | |||
| Mean Deviation | 0.4705 | |||
| Semi Deviation | 0.2797 | |||
| Downside Deviation | 0.5877 | |||
| Coefficient Of Variation | 400.87 | |||
| Standard Deviation | 0.6488 | |||
| Variance | 0.421 | |||
| Information Ratio | 0.1254 | |||
| Jensen Alpha | 0.1497 | |||
| Total Risk Alpha | 0.0918 | |||
| Sortino Ratio | 0.1384 | |||
| Treynor Ratio | 5.03 | |||
| Maximum Drawdown | 4.09 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.11 | |||
| Downside Variance | 0.3454 | |||
| Semi Variance | 0.0783 | |||
| Expected Short fall | (0.55) | |||
| Skewness | 0.4855 | |||
| Kurtosis | 2.72 |
AXA Strategy 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 AXA 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 148.48 | ||
| Day Typical Price | 148.48 | ||
| Price Action Indicator | 0.01 |
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