GPT (Germany) Technical Analysis
| 46T Stock | EUR 2.95 0.10 3.28% |
As of the 7th of February, GPT retains the market risk adjusted performance of 1.2, and Risk Adjusted Performance of 0.0542. GPT technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out GPT Group standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if GPT is priced correctly, providing market reflects its last-minute price of 2.95 per share.
GPT Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as GPT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GPTGPT |
GPT '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 GPT'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 GPT.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in GPT on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding GPT Group or generate 0.0% return on investment in GPT over 90 days. GPT is related to or competes with HOCHSCHILD MINING, Algonquin Power, ULTRA CLEAN, Cleanaway Waste, GAMING FAC, and Clean Energy. The GPT Group is one of Australias largest diversified property groups and a top 50 ASX listed company by market capital... More
GPT 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 GPT'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 GPT Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.67 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 6.52 | |||
| Value At Risk | (2.29) | |||
| Potential Upside | 2.7 |
GPT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GPT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GPT's standard deviation. In reality, there are many statistical measures that can use GPT historical prices to predict the future GPT's volatility.| Risk Adjusted Performance | 0.0542 | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 1.19 |
GPT February 7, 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 | 0.0542 | |||
| Market Risk Adjusted Performance | 1.2 | |||
| Mean Deviation | 1.03 | |||
| Semi Deviation | 1.31 | |||
| Downside Deviation | 1.67 | |||
| Coefficient Of Variation | 1612.01 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.92 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 1.19 | |||
| Maximum Drawdown | 6.52 | |||
| Value At Risk | (2.29) | |||
| Potential Upside | 2.7 | |||
| Downside Variance | 2.78 | |||
| Semi Variance | 1.71 | |||
| Expected Short fall | (1.18) | |||
| Skewness | (0.24) | |||
| Kurtosis | 0.3492 |
GPT Group Backtested Returns
GPT Group holds Efficiency (Sharpe) Ratio of -0.0203, which attests that the entity had a -0.0203 % return per unit of volatility over the last 3 months. GPT Group exposes twenty-six different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GPT's market risk adjusted performance of 1.2, and Risk Adjusted Performance of 0.0542 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.064, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GPT's returns are expected to increase less than the market. However, during the bear market, the loss of holding GPT is expected to be smaller as well. At this point, GPT Group has a negative expected return of -0.029%. Please make sure to check out GPT's total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to decide if GPT Group performance from the past will be repeated at future time.
Auto-correlation | 0.04 |
Virtually no predictability
GPT Group has virtually no predictability. Overlapping area represents the amount of predictability between GPT time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 GPT Group price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current GPT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GPT 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.
GPT Group Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 GPT Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About GPT 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 GPT 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 GPT Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on GPT Group price pattern first instead of the macroeconomic environment surrounding GPT Group. By analyzing GPT'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 GPT'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 GPT specific price patterns or momentum indicators. Please read more on our technical analysis page.
GPT February 7, 2026 Technical Indicators
Most technical analysis of GPT 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 GPT from various momentum indicators to cycle indicators. When you analyze GPT 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 | 0.0542 | |||
| Market Risk Adjusted Performance | 1.2 | |||
| Mean Deviation | 1.03 | |||
| Semi Deviation | 1.31 | |||
| Downside Deviation | 1.67 | |||
| Coefficient Of Variation | 1612.01 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.92 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.0708 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 1.19 | |||
| Maximum Drawdown | 6.52 | |||
| Value At Risk | (2.29) | |||
| Potential Upside | 2.7 | |||
| Downside Variance | 2.78 | |||
| Semi Variance | 1.71 | |||
| Expected Short fall | (1.18) | |||
| Skewness | (0.24) | |||
| Kurtosis | 0.3492 |
GPT February 7, 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 GPT 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 | 0.97 | ||
| Day Median Price | 2.95 | ||
| Day Typical Price | 2.95 | ||
| Price Action Indicator | (0.05) |
Complementary Tools for GPT Stock analysis
When running GPT's price analysis, check to measure GPT'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 GPT is operating at the current time. Most of GPT's value examination focuses on studying past and present price action to predict the probability of GPT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GPT's price. Additionally, you may evaluate how the addition of GPT to your portfolios can decrease your overall portfolio volatility.
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