Kikkoman Stock Technical Analysis
| KIKOF Stock | USD 8.80 0.00 0.00% |
As of the 20th of February, Kikkoman secures the Risk Adjusted Performance of 0.0523, mean deviation of 0.5457, and Standard Deviation of 1.8. Kikkoman technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Kikkoman variance and skewness to decide if Kikkoman is priced some-what accurately, providing market reflects its recent price of 8.8 per share. Given that Kikkoman has variance of 3.25, we recommend you to check Kikkoman's last-minute market performance to make sure the company can sustain itself at a future point.
Kikkoman Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Kikkoman, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KikkomanKikkoman |
Kikkoman '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 Kikkoman's pink sheet 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 Kikkoman.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in Kikkoman on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding Kikkoman or generate 0.0% return on investment in Kikkoman over 90 days. Kikkoman is related to or competes with Kikkoman Corp, Orkla ASA, Orkla ASA, Tingyi (Cayman, Toyo Suisan, Suntory Beverage, and AAK AB. Kikkoman Corporation, through its subsidiaries, manufactures and sells food products in Japan, North America, and intern... More
Kikkoman 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 Kikkoman's pink sheet 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 Kikkoman upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0256 | |||
| Maximum Drawdown | 17.23 |
Kikkoman Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kikkoman's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kikkoman's standard deviation. In reality, there are many statistical measures that can use Kikkoman historical prices to predict the future Kikkoman's volatility.| Risk Adjusted Performance | 0.0523 | |||
| Jensen Alpha | 0.0976 | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 2.66 |
Kikkoman February 20, 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 | 0.0523 | |||
| Market Risk Adjusted Performance | 2.67 | |||
| Mean Deviation | 0.5457 | |||
| Coefficient Of Variation | 1644.61 | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.25 | |||
| Information Ratio | 0.0256 | |||
| Jensen Alpha | 0.0976 | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 2.66 | |||
| Maximum Drawdown | 17.23 | |||
| Skewness | 3.21 | |||
| Kurtosis | 23.62 |
Kikkoman Backtested Returns
At this point, Kikkoman is not too volatile. Kikkoman has Sharpe Ratio of 0.0347, which conveys that the firm had a 0.0347 % return per unit of risk over the last 3 months. We have found seventeen technical indicators for Kikkoman, which you can use to evaluate the volatility of the firm. Please verify Kikkoman's Mean Deviation of 0.5457, risk adjusted performance of 0.0523, and Standard Deviation of 1.8 to check out if the risk estimate we provide is consistent with the expected return of 0.0583%. Kikkoman has a performance score of 2 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0375, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kikkoman's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kikkoman is expected to be smaller as well. Kikkoman right now secures a risk of 1.68%. Please verify Kikkoman variance, skewness, as well as the relationship between the Skewness and day typical price , to decide if Kikkoman will be following its current price movements.
Auto-correlation | 0.00 |
No correlation between past and present
Kikkoman has no correlation between past and present. Overlapping area represents the amount of predictability between Kikkoman time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 Kikkoman price movement. The serial correlation of 0.0 indicates that just 0.0% of current Kikkoman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Kikkoman technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Kikkoman Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Kikkoman volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Kikkoman 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 Kikkoman 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 Kikkoman based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Kikkoman price pattern first instead of the macroeconomic environment surrounding Kikkoman. By analyzing Kikkoman'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 Kikkoman'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 Kikkoman specific price patterns or momentum indicators. Please read more on our technical analysis page.
Kikkoman February 20, 2026 Technical Indicators
Most technical analysis of Kikkoman 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 Kikkoman from various momentum indicators to cycle indicators. When you analyze Kikkoman 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 | 0.0523 | |||
| Market Risk Adjusted Performance | 2.67 | |||
| Mean Deviation | 0.5457 | |||
| Coefficient Of Variation | 1644.61 | |||
| Standard Deviation | 1.8 | |||
| Variance | 3.25 | |||
| Information Ratio | 0.0256 | |||
| Jensen Alpha | 0.0976 | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 2.66 | |||
| Maximum Drawdown | 17.23 | |||
| Skewness | 3.21 | |||
| Kurtosis | 23.62 |
Kikkoman February 20, 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 Kikkoman 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 8.80 | ||
| Day Typical Price | 8.80 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Kikkoman Pink Sheet analysis
When running Kikkoman's price analysis, check to measure Kikkoman'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 Kikkoman is operating at the current time. Most of Kikkoman's value examination focuses on studying past and present price action to predict the probability of Kikkoman's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kikkoman's price. Additionally, you may evaluate how the addition of Kikkoman to your portfolios can decrease your overall portfolio volatility.
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