Cymat Technologies Stock Technical Analysis
| CYMHF Stock | USD 0.13 0.01 8.33% |
As of the 24th of April, Cymat Technologies shows the Standard Deviation of 3.92, mean deviation of 1.7, and Risk Adjusted Performance of 0.0026. Cymat Technologies 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. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have analyze and collected data for thirteen technical drivers for Cymat Technologies, which can be compared to its peers. Please confirm Cymat Technologies standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and kurtosis to decide if Cymat Technologies is priced correctly, providing market reflects its regular price of 0.13 per share. As Cymat Technologies appears to be a penny stock we also recommend to validate its jensen alpha numbers.
Cymat Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Cymat, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CymatCymat |
Cymat Technologies technical otc 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, otc market cycles, or different charting patterns.
Cymat Technologies Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-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 Cymat Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Cymat Technologies Trend Analysis
Use this graph to draw trend lines for Cymat Technologies. You can use it to identify possible trend reversals for Cymat Technologies 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 Cymat Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Cymat Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Cymat Technologies applied against its price change over selected period. The best fit line has a slop of 0.0004 , which may suggest that Cymat Technologies market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Cymat Technologies price change compared to its average price change.About Cymat Technologies 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 Cymat Technologies 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 Cymat Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Cymat Technologies price pattern first instead of the macroeconomic environment surrounding Cymat Technologies. By analyzing Cymat Technologies'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 Cymat Technologies'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 Cymat Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Cymat Technologies April 24, 2024 Technical Indicators
Most technical analysis of Cymat 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 Cymat from various momentum indicators to cycle indicators. When you analyze Cymat 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 | 0.0026 | |||
| Market Risk Adjusted Performance | (0.08) | |||
| Mean Deviation | 1.7 | |||
| Coefficient Of Variation | (10,663) | |||
| Standard Deviation | 3.92 | |||
| Variance | 15.37 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | (0.09) | |||
| Maximum Drawdown | 26.79 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 7.69 | |||
| Skewness | 0.3232 | |||
| Kurtosis | 4.27 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Cymat Technologies. Also, note that the market value of any otc stock could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the Cymat Technologies information on this page should be used as a complementary analysis to other Cymat Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Complementary Tools for Cymat OTC Stock analysis
When running Cymat Technologies' price analysis, check to measure Cymat Technologies' 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 Cymat Technologies is operating at the current time. Most of Cymat Technologies' value examination focuses on studying past and present price action to predict the probability of Cymat Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Cymat Technologies' price. Additionally, you may evaluate how the addition of Cymat Technologies to your portfolios can decrease your overall portfolio volatility.
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Stocks Directory Find actively traded stocks across global markets | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |