GiG Software (Germany) Technical Analysis
| K0W Stock | 0.27 0.01 3.57% |
As of the 8th of February, GiG Software retains the Risk Adjusted Performance of (0.11), coefficient of variation of (686.84), and Market Risk Adjusted Performance of (1.20). GiG Software 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 GiG Software plc variance and the relationship between the treynor ratio and skewness to decide if GiG Software is priced adequately, providing market reflects its last-minute price of 0.27 per share.
GiG Software Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as GiG, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GiGGiG |
GiG Software '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 GiG Software'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 GiG Software.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in GiG Software on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding GiG Software plc or generate 0.0% return on investment in GiG Software over 90 days. GiG Software is related to or competes with Nintendo, Sea, Electronic Arts, Take-Two Interactive, and Aristocrat Leisure. GiG Software is entity of Germany. It is traded as Stock on F exchange. More
GiG Software 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 GiG Software'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 GiG Software plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 40.58 | |||
| Value At Risk | (9.30) | |||
| Potential Upside | 9.3 |
GiG Software Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GiG Software's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GiG Software's standard deviation. In reality, there are many statistical measures that can use GiG Software historical prices to predict the future GiG Software's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (1.03) | |||
| Total Risk Alpha | (1.62) | |||
| Treynor Ratio | (1.21) |
GiG Software February 8, 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 | (0.11) | |||
| Market Risk Adjusted Performance | (1.20) | |||
| Mean Deviation | 4.57 | |||
| Coefficient Of Variation | (686.84) | |||
| Standard Deviation | 6.58 | |||
| Variance | 43.33 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (1.03) | |||
| Total Risk Alpha | (1.62) | |||
| Treynor Ratio | (1.21) | |||
| Maximum Drawdown | 40.58 | |||
| Value At Risk | (9.30) | |||
| Potential Upside | 9.3 | |||
| Skewness | (0.25) | |||
| Kurtosis | 2.83 |
GiG Software plc Backtested Returns
GiG Software plc holds Efficiency (Sharpe) Ratio of -0.14, which attests that the entity had a -0.14 % return per unit of return volatility over the last 3 months. GiG Software plc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GiG Software's Market Risk Adjusted Performance of (1.20), coefficient of variation of (686.84), and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.8, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GiG Software's returns are expected to increase less than the market. However, during the bear market, the loss of holding GiG Software is expected to be smaller as well. At this point, GiG Software plc has a negative expected return of -0.94%. Please make sure to check out GiG Software's value at risk, accumulation distribution, and the relationship between the treynor ratio and skewness , to decide if GiG Software plc performance from the past will be repeated at some future point.
Auto-correlation | 0.18 |
Very weak predictability
GiG Software plc has very weak predictability. Overlapping area represents the amount of predictability between GiG Software time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 GiG Software plc price movement. The serial correlation of 0.18 indicates that over 18.0% of current GiG Software price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GiG Software 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.
GiG Software plc Technical Analysis
The output start index for this execution was one with a total number of output elements of fourty-five. 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 GiG Software plc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About GiG Software 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 GiG Software plc 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 GiG Software plc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on GiG Software plc price pattern first instead of the macroeconomic environment surrounding GiG Software plc. By analyzing GiG Software'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 GiG Software'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 GiG Software specific price patterns or momentum indicators. Please read more on our technical analysis page.
GiG Software February 8, 2026 Technical Indicators
Most technical analysis of GiG 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 GiG from various momentum indicators to cycle indicators. When you analyze GiG 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 | (0.11) | |||
| Market Risk Adjusted Performance | (1.20) | |||
| Mean Deviation | 4.57 | |||
| Coefficient Of Variation | (686.84) | |||
| Standard Deviation | 6.58 | |||
| Variance | 43.33 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (1.03) | |||
| Total Risk Alpha | (1.62) | |||
| Treynor Ratio | (1.21) | |||
| Maximum Drawdown | 40.58 | |||
| Value At Risk | (9.30) | |||
| Potential Upside | 9.3 | |||
| Skewness | (0.25) | |||
| Kurtosis | 2.83 |
GiG Software February 8, 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 GiG 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 | 0.04 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 0.28 | ||
| Day Typical Price | 0.27 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.01 |
Complementary Tools for GiG Stock analysis
When running GiG Software's price analysis, check to measure GiG Software'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 GiG Software is operating at the current time. Most of GiG Software's value examination focuses on studying past and present price action to predict the probability of GiG Software's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GiG Software's price. Additionally, you may evaluate how the addition of GiG Software to your portfolios can decrease your overall portfolio volatility.
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