Springer Nature (Germany) Technical Analysis
| SPG Stock | 16.48 0.26 1.60% |
As of the 8th of February, Springer Nature has the Risk Adjusted Performance of (0.14), variance of 5.1, and Coefficient Of Variation of (544.10). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Springer Nature AG, as well as the relationship between them. Please validate Springer Nature AG information ratio, potential upside, and the relationship between the standard deviation and maximum drawdown to decide if Springer Nature is priced more or less accurately, providing market reflects its prevalent price of 16.48 per share.
Springer Nature Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Springer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SpringerSpringer |
Springer Nature '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 Springer Nature'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 Springer Nature.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Springer Nature on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Springer Nature AG or generate 0.0% return on investment in Springer Nature over 90 days. Springer Nature is related to or competes with Freenet AG. Springer Nature is entity of Germany. It is traded as Stock on F exchange. More
Springer Nature 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 Springer Nature'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 Springer Nature AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 13.3 | |||
| Value At Risk | (3.76) | |||
| Potential Upside | 3.26 |
Springer Nature Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Springer Nature's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Springer Nature's standard deviation. In reality, there are many statistical measures that can use Springer Nature historical prices to predict the future Springer Nature's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.47) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.71) |
Springer Nature 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 | (0.14) | |||
| Market Risk Adjusted Performance | (0.70) | |||
| Mean Deviation | 1.67 | |||
| Coefficient Of Variation | (544.10) | |||
| Standard Deviation | 2.26 | |||
| Variance | 5.1 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.47) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.71) | |||
| Maximum Drawdown | 13.3 | |||
| Value At Risk | (3.76) | |||
| Potential Upside | 3.26 | |||
| Skewness | 0.3928 | |||
| Kurtosis | 1.9 |
Springer Nature AG Backtested Returns
Springer Nature AG owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the firm had a -0.17 % return per unit of risk over the last 3 months. Springer Nature AG exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Springer Nature's Coefficient Of Variation of (544.10), risk adjusted performance of (0.14), and Variance of 5.1 to confirm the risk estimate we provide. The entity has a beta of 0.59, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Springer Nature's returns are expected to increase less than the market. However, during the bear market, the loss of holding Springer Nature is expected to be smaller as well. At this point, Springer Nature AG has a negative expected return of -0.4%. Please make sure to validate Springer Nature's potential upside, rate of daily change, period momentum indicator, as well as the relationship between the kurtosis and day typical price , to decide if Springer Nature AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.80 |
Very good predictability
Springer Nature AG has very good predictability. Overlapping area represents the amount of predictability between Springer Nature 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 Springer Nature AG price movement. The serial correlation of 0.8 indicates that around 80.0% of current Springer Nature price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.83 |
Springer Nature 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.
Springer Nature AG Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Springer Nature AG volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Springer Nature 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 Springer Nature AG 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 Springer Nature AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Springer Nature AG price pattern first instead of the macroeconomic environment surrounding Springer Nature AG. By analyzing Springer Nature'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 Springer Nature'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 Springer Nature specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Dividend Yield | 4.0E-5 | 3.8E-5 | Price To Sales Ratio | 3.44 | 4.07 |
Springer Nature February 8, 2026 Technical Indicators
Most technical analysis of Springer 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 Springer from various momentum indicators to cycle indicators. When you analyze Springer 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 | (0.14) | |||
| Market Risk Adjusted Performance | (0.70) | |||
| Mean Deviation | 1.67 | |||
| Coefficient Of Variation | (544.10) | |||
| Standard Deviation | 2.26 | |||
| Variance | 5.1 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.47) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.71) | |||
| Maximum Drawdown | 13.3 | |||
| Value At Risk | (3.76) | |||
| Potential Upside | 3.26 | |||
| Skewness | 0.3928 | |||
| Kurtosis | 1.9 |
Springer Nature 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 Springer 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 | 1.02 | ||
| Day Median Price | 16.48 | ||
| Day Typical Price | 16.48 | ||
| Price Action Indicator | 0.13 |
Complementary Tools for Springer Stock analysis
When running Springer Nature's price analysis, check to measure Springer Nature'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 Springer Nature is operating at the current time. Most of Springer Nature's value examination focuses on studying past and present price action to predict the probability of Springer Nature's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Springer Nature's price. Additionally, you may evaluate how the addition of Springer Nature to your portfolios can decrease your overall portfolio volatility.
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