Hamilton Insurance (Germany) Technical Analysis
| QN0 Stock | 22.60 0.40 1.74% |
Hamilton Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hamilton, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HamiltonHamilton |
Hamilton Insurance '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 Hamilton Insurance'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 Hamilton Insurance.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Hamilton Insurance on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Hamilton Insurance Group or generate 0.0% return on investment in Hamilton Insurance over 90 days.
Hamilton Insurance 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 Hamilton Insurance'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 Hamilton Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.56 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 9.68 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 3.64 |
Hamilton Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hamilton Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hamilton Insurance's standard deviation. In reality, there are many statistical measures that can use Hamilton Insurance historical prices to predict the future Hamilton Insurance's volatility.| Risk Adjusted Performance | 0.0082 | |||
| Jensen Alpha | (0.0004) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0552 |
Hamilton Insurance January 30, 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 | 0.0082 | |||
| Market Risk Adjusted Performance | 0.0652 | |||
| Mean Deviation | 1.88 | |||
| Semi Deviation | 2.18 | |||
| Downside Deviation | 2.56 | |||
| Coefficient Of Variation | 56278.4 | |||
| Standard Deviation | 2.37 | |||
| Variance | 5.61 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.0004) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0552 | |||
| Maximum Drawdown | 9.68 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 3.64 | |||
| Downside Variance | 6.55 | |||
| Semi Variance | 4.76 | |||
| Expected Short fall | (2.39) | |||
| Skewness | (0.11) | |||
| Kurtosis | (0.42) |
Hamilton Insurance Backtested Returns
At this point, Hamilton Insurance is not too volatile. Hamilton Insurance holds Efficiency (Sharpe) Ratio of close to zero, which attests that the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hamilton Insurance, which you can use to evaluate the volatility of the firm. Please check out Hamilton Insurance's Risk Adjusted Performance of 0.0082, downside deviation of 2.56, and Market Risk Adjusted Performance of 0.0652 to validate if the risk estimate we provide is consistent with the expected return of 0.0041%. The company retains a Market Volatility (i.e., Beta) of -0.1, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hamilton Insurance are expected to decrease at a much lower rate. During the bear market, Hamilton Insurance is likely to outperform the market. Hamilton Insurance right now retains a risk of 2.34%. Please check out Hamilton Insurance sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if Hamilton Insurance will be following its current trending patterns.
Auto-correlation | -0.45 |
Modest reverse predictability
Hamilton Insurance Group has modest reverse predictability. Overlapping area represents the amount of predictability between Hamilton Insurance time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 Hamilton Insurance price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Hamilton Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Hamilton Insurance 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.
Hamilton Insurance Technical Analysis
The output start index for this execution was fifteen with a total number of output elements of twenty-four. 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 Hamilton Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hamilton Insurance January 30, 2026 Technical Indicators
Most technical analysis of Hamilton 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 Hamilton from various momentum indicators to cycle indicators. When you analyze Hamilton 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 | 0.0082 | |||
| Market Risk Adjusted Performance | 0.0652 | |||
| Mean Deviation | 1.88 | |||
| Semi Deviation | 2.18 | |||
| Downside Deviation | 2.56 | |||
| Coefficient Of Variation | 56278.4 | |||
| Standard Deviation | 2.37 | |||
| Variance | 5.61 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.0004) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0552 | |||
| Maximum Drawdown | 9.68 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 3.64 | |||
| Downside Variance | 6.55 | |||
| Semi Variance | 4.76 | |||
| Expected Short fall | (2.39) | |||
| Skewness | (0.11) | |||
| Kurtosis | (0.42) |
Hamilton Insurance January 30, 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 Hamilton 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 | 0.01 | ||
| Daily Balance Of Power | (2.00) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 22.50 | ||
| Day Typical Price | 22.53 | ||
| Price Action Indicator | (0.10) | ||
| Market Facilitation Index | 0.20 |
Complementary Tools for Hamilton Stock analysis
When running Hamilton Insurance's price analysis, check to measure Hamilton Insurance'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 Hamilton Insurance is operating at the current time. Most of Hamilton Insurance's value examination focuses on studying past and present price action to predict the probability of Hamilton Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hamilton Insurance's price. Additionally, you may evaluate how the addition of Hamilton Insurance to your portfolios can decrease your overall portfolio volatility.
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