Gs Yuasa Stock Technical Analysis
| GYUAF Stock | USD 33.40 9.23 38.19% |
As of the 1st of March, GS Yuasa owns the Market Risk Adjusted Performance of (0.81), coefficient of variation of 862.87, and Information Ratio of 0.0968. GS Yuasa technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out GS Yuasa coefficient of variation, as well as the relationship between the total risk alpha and skewness to decide if GS Yuasa is priced more or less accurately, providing market reflects its prevailing price of 33.4 per share. Given that GS Yuasa has variance of 22.2, we strongly advise you to confirm GS Yuasa's latest market performance to make sure the company can sustain itself sooner or later.
GS Yuasa Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as GYUAF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GYUAFGYUAF |
GS Yuasa '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 GS Yuasa'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 GS Yuasa.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in GS Yuasa on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding GS Yuasa or generate 0.0% return on investment in GS Yuasa over 90 days. GS Yuasa is related to or competes with China Conch, Hammond Power, RHI Magnesita, Swire Pacific, Landis+Gyr Group, Pagegroup PLC, and Relo. GS Yuasa Corporation manufactures and sells batteries, power supply systems, and lighting equipment in Japan, the rest o... More
GS Yuasa 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 GS Yuasa'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 GS Yuasa upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0968 | |||
| Maximum Drawdown | 38.19 |
GS Yuasa Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GS Yuasa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GS Yuasa's standard deviation. In reality, there are many statistical measures that can use GS Yuasa historical prices to predict the future GS Yuasa's volatility.| Risk Adjusted Performance | 0.0971 | |||
| Jensen Alpha | 0.5882 | |||
| Total Risk Alpha | 0.0442 | |||
| Treynor Ratio | (0.82) |
GS Yuasa 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 | 0.0971 | |||
| Market Risk Adjusted Performance | (0.81) | |||
| Mean Deviation | 1.14 | |||
| Coefficient Of Variation | 862.87 | |||
| Standard Deviation | 4.71 | |||
| Variance | 22.2 | |||
| Information Ratio | 0.0968 | |||
| Jensen Alpha | 0.5882 | |||
| Total Risk Alpha | 0.0442 | |||
| Treynor Ratio | (0.82) | |||
| Maximum Drawdown | 38.19 | |||
| Skewness | 8.08 | |||
| Kurtosis | 65.57 |
GS Yuasa Backtested Returns
GS Yuasa appears to be not too volatile, given 3 months investment horizon. GS Yuasa retains Efficiency (Sharpe Ratio) of 0.12, which attests that the entity had a 0.12 % return per unit of price deviation over the last 3 months. By inspecting GS Yuasa's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please utilize GS Yuasa's Information Ratio of 0.0968, coefficient of variation of 862.87, and Market Risk Adjusted Performance of (0.81) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, GS Yuasa holds a performance score of 9. The company owns a Beta (Systematic Risk) of -0.65, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning GS Yuasa are expected to decrease at a much lower rate. During the bear market, GS Yuasa is likely to outperform the market. Please check GS Yuasa's coefficient of variation, skewness, price action indicator, as well as the relationship between the information ratio and rate of daily change , to make a quick decision on whether GS Yuasa's current price history will revert.
Auto-correlation | -0.65 |
Very good reverse predictability
GS Yuasa has very good reverse predictability. Overlapping area represents the amount of predictability between GS Yuasa 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 GS Yuasa price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current GS Yuasa price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 16.31 |
GS Yuasa 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.
GS Yuasa 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 GS Yuasa across different markets.
About GS Yuasa 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 GS Yuasa 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 GS Yuasa based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on GS Yuasa price pattern first instead of the macroeconomic environment surrounding GS Yuasa. By analyzing GS Yuasa'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 GS Yuasa'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 GS Yuasa specific price patterns or momentum indicators. Please read more on our technical analysis page.
GS Yuasa March 1, 2026 Technical Indicators
Most technical analysis of GYUAF 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 GYUAF from various momentum indicators to cycle indicators. When you analyze GYUAF 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 | 0.0971 | |||
| Market Risk Adjusted Performance | (0.81) | |||
| Mean Deviation | 1.14 | |||
| Coefficient Of Variation | 862.87 | |||
| Standard Deviation | 4.71 | |||
| Variance | 22.2 | |||
| Information Ratio | 0.0968 | |||
| Jensen Alpha | 0.5882 | |||
| Total Risk Alpha | 0.0442 | |||
| Treynor Ratio | (0.82) | |||
| Maximum Drawdown | 38.19 | |||
| Skewness | 8.08 | |||
| Kurtosis | 65.57 |
GS Yuasa 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 GYUAF 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 | 1.38 | ||
| Day Median Price | 33.40 | ||
| Day Typical Price | 33.40 | ||
| Price Action Indicator | 4.61 |
Complementary Tools for GYUAF Pink Sheet analysis
When running GS Yuasa's price analysis, check to measure GS Yuasa'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 GS Yuasa is operating at the current time. Most of GS Yuasa's value examination focuses on studying past and present price action to predict the probability of GS Yuasa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GS Yuasa's price. Additionally, you may evaluate how the addition of GS Yuasa to your portfolios can decrease your overall portfolio volatility.
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