Rohm Co Stock Technical Analysis
| ROHCF Stock | USD 9.95 0.00 0.00% |
As of the 30th of November, ROHM holds the coefficient of variation of (749.71), and Risk Adjusted Performance of (0.1). Concerning fundamental indicators, the technical analysis model allows you to check practical technical drivers of ROHM, as well as the relationship between them. Please check ROHM standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and skewness to decide if ROHM is priced more or less accurately, providing market reflects its current price of 9.95 per share. Given that ROHM has total risk alpha of (0.74), we recommend you to check out ROHM's recent market performance to make sure the company can sustain itself at some point in the future.
ROHM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ROHM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ROHMROHM |
ROHM 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.
ROHM 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 ROHM volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ROHM Trend Analysis
Use this graph to draw trend lines for ROHM Co. You can use it to identify possible trend reversals for ROHM as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual ROHM price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ROHM Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ROHM Co applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that ROHM Co market price will keep on failing further. It has 122 observation points and a regression sum of squares at 26.7, which is the sum of squared deviations for the predicted ROHM price change compared to its average price change.About ROHM 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 ROHM Co 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 ROHM Co based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ROHM price pattern first instead of the macroeconomic environment surrounding ROHM. By analyzing ROHM'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 ROHM'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 ROHM specific price patterns or momentum indicators. Please read more on our technical analysis page.
ROHM November 30, 2024 Technical Indicators
Most technical analysis of ROHM 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 ROHM from various momentum indicators to cycle indicators. When you analyze ROHM 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 | (0.1) | |||
| Market Risk Adjusted Performance | (3.73) | |||
| Mean Deviation | 0.6651 | |||
| Coefficient Of Variation | (749.71) | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.86 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.74) | |||
| Treynor Ratio | (3.74) | |||
| Maximum Drawdown | 19.46 | |||
| Value At Risk | (0.20) | |||
| Skewness | (7.84) | |||
| Kurtosis | 62.82 |
Complementary Tools for ROHM Pink Sheet analysis
When running ROHM's price analysis, check to measure ROHM'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 ROHM is operating at the current time. Most of ROHM's value examination focuses on studying past and present price action to predict the probability of ROHM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ROHM's price. Additionally, you may evaluate how the addition of ROHM to your portfolios can decrease your overall portfolio volatility.
| Transaction History View history of all your transactions and understand their impact on performance | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |