ACM Research (China) Technical Analysis
688082 Stock | 103.51 2.43 2.29% |
As of the 26th of December, ACM Research shows the Coefficient Of Variation of 907.94, mean deviation of 2.87, and Downside Deviation of 2.75. ACM Research Shanghai 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 entity's future prices.
ACM Research Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ACM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ACMACM |
ACM Research 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.
ACM Research Shanghai Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-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 ACM Research Shanghai volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ACM Research Shanghai Trend Analysis
Use this graph to draw trend lines for ACM Research Shanghai. You can use it to identify possible trend reversals for ACM Research 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 ACM Research price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ACM Research Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ACM Research Shanghai applied against its price change over selected period. The best fit line has a slop of 0.03 , which means ACM Research Shanghai will continue generating value for investors. It has 122 observation points and a regression sum of squares at 28.55, which is the sum of squared deviations for the predicted ACM Research price change compared to its average price change.About ACM Research 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 ACM Research Shanghai 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 ACM Research Shanghai based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ACM Research Shanghai price pattern first instead of the macroeconomic environment surrounding ACM Research Shanghai. By analyzing ACM Research'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 ACM Research'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 ACM Research specific price patterns or momentum indicators. Please read more on our technical analysis page.
ACM Research December 26, 2024 Technical Indicators
Most technical analysis of ACM 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 ACM from various momentum indicators to cycle indicators. When you analyze ACM 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 | 0.0962 | |||
Market Risk Adjusted Performance | 1.58 | |||
Mean Deviation | 2.87 | |||
Semi Deviation | 2.4 | |||
Downside Deviation | 2.75 | |||
Coefficient Of Variation | 907.94 | |||
Standard Deviation | 4.36 | |||
Variance | 18.97 | |||
Information Ratio | 0.0999 | |||
Jensen Alpha | 0.4593 | |||
Total Risk Alpha | 0.2805 | |||
Sortino Ratio | 0.1581 | |||
Treynor Ratio | 1.57 | |||
Maximum Drawdown | 26.23 | |||
Value At Risk | (4.05) | |||
Potential Upside | 6.4 | |||
Downside Variance | 7.57 | |||
Semi Variance | 5.76 | |||
Expected Short fall | (3.48) | |||
Skewness | 2.3 | |||
Kurtosis | 8.01 |
ACM Research December 26, 2024 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 ACM 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 | 66,279 | ||
Daily Balance Of Power | (0.65) | ||
Rate Of Daily Change | 0.98 | ||
Day Median Price | 104.50 | ||
Day Typical Price | 104.17 | ||
Price Action Indicator | (2.20) |
Complementary Tools for ACM Stock analysis
When running ACM Research's price analysis, check to measure ACM Research'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 ACM Research is operating at the current time. Most of ACM Research's value examination focuses on studying past and present price action to predict the probability of ACM Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ACM Research's price. Additionally, you may evaluate how the addition of ACM Research to your portfolios can decrease your overall portfolio volatility.
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