Corteva (Germany) Technical Analysis
| 2X0 Stock | 67.64 1.05 1.58% |
As of the 1st of March, Corteva shows the Downside Deviation of 1.28, risk adjusted performance of 0.1883, and Mean Deviation of 1.02. Corteva 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.
Corteva Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Corteva, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CortevaCorteva |
Corteva '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 Corteva'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 Corteva.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in Corteva on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Corteva or generate 0.0% return on investment in Corteva over 90 days. Corteva is related to or competes with Nicola Mining, LXP Industrial, Beta Systems, GREENX METALS, X FAB, Wayside Technology, and Robosense Technology. Corteva is entity of Germany. It is traded as Stock on STU exchange. More
Corteva 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 Corteva'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 Corteva upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.28 | |||
| Information Ratio | 0.1715 | |||
| Maximum Drawdown | 7.33 | |||
| Value At Risk | (1.76) | |||
| Potential Upside | 2.22 |
Corteva Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Corteva's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Corteva's standard deviation. In reality, there are many statistical measures that can use Corteva historical prices to predict the future Corteva's volatility.| Risk Adjusted Performance | 0.1883 | |||
| Jensen Alpha | 0.3204 | |||
| Total Risk Alpha | 0.1671 | |||
| Sortino Ratio | 0.1749 | |||
| Treynor Ratio | (1.38) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Corteva's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Corteva March 1, 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 | 0.1883 | |||
| Market Risk Adjusted Performance | (1.37) | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.9925 | |||
| Downside Deviation | 1.28 | |||
| Coefficient Of Variation | 415.56 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 | |||
| Information Ratio | 0.1715 | |||
| Jensen Alpha | 0.3204 | |||
| Total Risk Alpha | 0.1671 | |||
| Sortino Ratio | 0.1749 | |||
| Treynor Ratio | (1.38) | |||
| Maximum Drawdown | 7.33 | |||
| Value At Risk | (1.76) | |||
| Potential Upside | 2.22 | |||
| Downside Variance | 1.63 | |||
| Semi Variance | 0.985 | |||
| Expected Short fall | (1.14) | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.627 |
Corteva Backtested Returns
Corteva appears to be very steady, given 3 months investment horizon. Corteva secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the company had a 0.21 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Corteva, which you can use to evaluate the volatility of the firm. Please makes use of Corteva's Risk Adjusted Performance of 0.1883, mean deviation of 1.02, and Downside Deviation of 1.28 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Corteva holds a performance score of 17. The firm shows a Beta (market volatility) of -0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Corteva are expected to decrease at a much lower rate. During the bear market, Corteva is likely to outperform the market. Please check Corteva's standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to make a quick decision on whether Corteva's price patterns will revert.
Auto-correlation | 0.76 |
Good predictability
Corteva has good predictability. Overlapping area represents the amount of predictability between Corteva time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 Corteva price movement. The serial correlation of 0.76 indicates that around 76.0% of current Corteva price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 3.47 |
Corteva 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.
Corteva Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Corteva across different markets.
About Corteva 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 Corteva 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 Corteva based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Corteva price pattern first instead of the macroeconomic environment surrounding Corteva. By analyzing Corteva'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 Corteva'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 Corteva specific price patterns or momentum indicators. Please read more on our technical analysis page.
Corteva March 1, 2026 Technical Indicators
Most technical analysis of Corteva 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 Corteva from various momentum indicators to cycle indicators. When you analyze Corteva 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 | 0.1883 | |||
| Market Risk Adjusted Performance | (1.37) | |||
| Mean Deviation | 1.02 | |||
| Semi Deviation | 0.9925 | |||
| Downside Deviation | 1.28 | |||
| Coefficient Of Variation | 415.56 | |||
| Standard Deviation | 1.3 | |||
| Variance | 1.69 | |||
| Information Ratio | 0.1715 | |||
| Jensen Alpha | 0.3204 | |||
| Total Risk Alpha | 0.1671 | |||
| Sortino Ratio | 0.1749 | |||
| Treynor Ratio | (1.38) | |||
| Maximum Drawdown | 7.33 | |||
| Value At Risk | (1.76) | |||
| Potential Upside | 2.22 | |||
| Downside Variance | 1.63 | |||
| Semi Variance | 0.985 | |||
| Expected Short fall | (1.14) | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.627 |
Corteva March 1, 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 Corteva 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 | 0.02 | ||
| Daily Balance Of Power | 0.62 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 66.89 | ||
| Day Typical Price | 67.14 | ||
| Price Action Indicator | 1.28 | ||
| Market Facilitation Index | 1.69 |
Additional Tools for Corteva Stock Analysis
When running Corteva's price analysis, check to measure Corteva'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 Corteva is operating at the current time. Most of Corteva's value examination focuses on studying past and present price action to predict the probability of Corteva's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Corteva's price. Additionally, you may evaluate how the addition of Corteva to your portfolios can decrease your overall portfolio volatility.