Allfunds (Netherlands) Technical Analysis
| ALLFG Stock | EUR 8.20 0.03 0.37% |
As of the 18th of February 2026, Allfunds shows the Mean Deviation of 1.25, downside deviation of 1.23, and Risk Adjusted Performance of 0.1145. Allfunds Group 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.
Allfunds Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Allfunds, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AllfundsAllfunds |
Allfunds '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 Allfunds' 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 Allfunds.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Allfunds on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Allfunds Group or generate 0.0% return on investment in Allfunds over 90 days. Allfunds is related to or competes with Reinet Investments, Eurocastle Investment, Van Lanschot, Value8 NV, Flow Traders, and Lavide Holding. Allfunds Group plc provides B2B WealthTech platforms connecting fund houses and distributors More
Allfunds 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 Allfunds' 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 Allfunds Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | 0.1169 | |||
| Maximum Drawdown | 24.74 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 2.24 |
Allfunds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allfunds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allfunds' standard deviation. In reality, there are many statistical measures that can use Allfunds historical prices to predict the future Allfunds' volatility.| Risk Adjusted Performance | 0.1145 | |||
| Jensen Alpha | 0.3672 | |||
| Total Risk Alpha | 0.2293 | |||
| Sortino Ratio | 0.2827 | |||
| Treynor Ratio | 0.7389 |
Allfunds February 18, 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 | 0.1145 | |||
| Market Risk Adjusted Performance | 0.7489 | |||
| Mean Deviation | 1.25 | |||
| Semi Deviation | 0.7303 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 741.71 | |||
| Standard Deviation | 2.97 | |||
| Variance | 8.8 | |||
| Information Ratio | 0.1169 | |||
| Jensen Alpha | 0.3672 | |||
| Total Risk Alpha | 0.2293 | |||
| Sortino Ratio | 0.2827 | |||
| Treynor Ratio | 0.7389 | |||
| Maximum Drawdown | 24.74 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 2.24 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 0.5334 | |||
| Expected Short fall | (1.60) | |||
| Skewness | 6.2 | |||
| Kurtosis | 45.66 |
Allfunds Group Backtested Returns
Allfunds appears to be somewhat reliable, given 3 months investment horizon. Allfunds Group secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Allfunds Group, which you can use to evaluate the volatility of the firm. Please makes use of Allfunds' Risk Adjusted Performance of 0.1145, downside deviation of 1.23, and Mean Deviation of 1.25 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Allfunds holds a performance score of 10. The firm shows a Beta (market volatility) of 0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Allfunds' returns are expected to increase less than the market. However, during the bear market, the loss of holding Allfunds is expected to be smaller as well. Please check Allfunds' jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to make a quick decision on whether Allfunds' price patterns will revert.
Auto-correlation | 0.41 |
Average predictability
Allfunds Group has average predictability. Overlapping area represents the amount of predictability between Allfunds time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Allfunds Group price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Allfunds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Allfunds 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.
Allfunds Group Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Allfunds Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Allfunds 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 Allfunds Group 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 Allfunds Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Allfunds Group price pattern first instead of the macroeconomic environment surrounding Allfunds Group. By analyzing Allfunds'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 Allfunds'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 Allfunds specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2026 (projected) | Dividend Yield | 0.0144 | 0.0188 | 0.0139 | Price To Sales Ratio | 7.98 | 5.53 | 5.64 |
Allfunds February 18, 2026 Technical Indicators
Most technical analysis of Allfunds 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 Allfunds from various momentum indicators to cycle indicators. When you analyze Allfunds 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 | 0.1145 | |||
| Market Risk Adjusted Performance | 0.7489 | |||
| Mean Deviation | 1.25 | |||
| Semi Deviation | 0.7303 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 741.71 | |||
| Standard Deviation | 2.97 | |||
| Variance | 8.8 | |||
| Information Ratio | 0.1169 | |||
| Jensen Alpha | 0.3672 | |||
| Total Risk Alpha | 0.2293 | |||
| Sortino Ratio | 0.2827 | |||
| Treynor Ratio | 0.7389 | |||
| Maximum Drawdown | 24.74 | |||
| Value At Risk | (1.61) | |||
| Potential Upside | 2.24 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 0.5334 | |||
| Expected Short fall | (1.60) | |||
| Skewness | 6.2 | |||
| Kurtosis | 45.66 |
Allfunds February 18, 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 Allfunds 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 | 5,106 | ||
| Daily Balance Of Power | 0.50 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 8.20 | ||
| Day Typical Price | 8.20 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for Allfunds Stock analysis
When running Allfunds' price analysis, check to measure Allfunds' 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 Allfunds is operating at the current time. Most of Allfunds' value examination focuses on studying past and present price action to predict the probability of Allfunds' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allfunds' price. Additionally, you may evaluate how the addition of Allfunds to your portfolios can decrease your overall portfolio volatility.
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