Infosys (Germany) Technical Analysis
| IOY Stock | EUR 11.75 0.15 1.26% |
As of the 3rd of March, Infosys retains the Standard Deviation of 2.78, market risk adjusted performance of (0.65), and Risk Adjusted Performance of (0.08). Infosys 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 Infosys Limited standard deviation, maximum drawdown, kurtosis, as well as the relationship between the information ratio and potential upside to decide if Infosys is priced fairly, providing market reflects its last-minute price of 11.75 per share.
Infosys Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Infosys, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to InfosysInfosys |
Infosys '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 Infosys' 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 Infosys.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Infosys on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Infosys Limited or generate 0.0% return on investment in Infosys over 90 days. Infosys is related to or competes with AIR PRODCHEMICALS, KB HOME, Mitsubishi Gas, HomeToGo, Corporate Office, and Aedas Homes. Infosys Limited, together with its subsidiaries, provides consulting, technology, and outsourcing services in North Amer... More
Infosys 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 Infosys' 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 Infosys Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 17.41 | |||
| Value At Risk | (4.42) | |||
| Potential Upside | 3.39 |
Infosys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Infosys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Infosys' standard deviation. In reality, there are many statistical measures that can use Infosys historical prices to predict the future Infosys' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.66) |
Infosys March 3, 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 1.96 | |||
| Coefficient Of Variation | (864.15) | |||
| Standard Deviation | 2.78 | |||
| Variance | 7.72 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 17.41 | |||
| Value At Risk | (4.42) | |||
| Potential Upside | 3.39 | |||
| Skewness | 0.7037 | |||
| Kurtosis | 3.34 |
Infosys Limited Backtested Returns
Infosys Limited holds Efficiency (Sharpe) Ratio of -0.14, which attests that the entity had a -0.14 % return per unit of risk over the last 3 months. Infosys Limited exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Infosys' Market Risk Adjusted Performance of (0.65), standard deviation of 2.78, and Risk Adjusted Performance of (0.08) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.5, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Infosys' returns are expected to increase less than the market. However, during the bear market, the loss of holding Infosys is expected to be smaller as well. At this point, Infosys Limited has a negative expected return of -0.4%. Please make sure to check out Infosys' standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Infosys Limited performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.22 |
Weak reverse predictability
Infosys Limited has weak reverse predictability. Overlapping area represents the amount of predictability between Infosys time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd 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 Infosys Limited price movement. The serial correlation of -0.22 indicates that over 22.0% of current Infosys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 1.93 |
Infosys 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.
Infosys Limited 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 Infosys Limited across different markets.
About Infosys 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 Infosys Limited 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 Infosys Limited based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Infosys Limited price pattern first instead of the macroeconomic environment surrounding Infosys Limited. By analyzing Infosys'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 Infosys'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 Infosys specific price patterns or momentum indicators. Please read more on our technical analysis page.
Infosys March 3, 2026 Technical Indicators
Most technical analysis of Infosys 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 Infosys from various momentum indicators to cycle indicators. When you analyze Infosys 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 | (0.08) | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 1.96 | |||
| Coefficient Of Variation | (864.15) | |||
| Standard Deviation | 2.78 | |||
| Variance | 7.72 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 17.41 | |||
| Value At Risk | (4.42) | |||
| Potential Upside | 3.39 | |||
| Skewness | 0.7037 | |||
| Kurtosis | 3.34 |
Infosys March 3, 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 Infosys 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 | 138.38 | ||
| Daily Balance Of Power | (0.75) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 11.85 | ||
| Day Typical Price | 11.82 | ||
| Price Action Indicator | (0.17) |
Complementary Tools for Infosys Stock analysis
When running Infosys' price analysis, check to measure Infosys' 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 Infosys is operating at the current time. Most of Infosys' value examination focuses on studying past and present price action to predict the probability of Infosys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infosys' price. Additionally, you may evaluate how the addition of Infosys to your portfolios can decrease your overall portfolio volatility.
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