ACM Research (China) Math Transform Sine Of Price Series

688082 Stock   106.18  1.23  1.17%   
ACM Research math transform tool provides the execution environment for running the Sine Of Price Series transformation and other technical functions against ACM Research. ACM Research value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math transform indicators. As with most other technical indicators, the Sine Of Price Series transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in ACM Research can be made when ACM Research shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. ACM Research Shanghai Sine Of Price Series is a trigonometric price transformation method.

ACM Research Technical Analysis Modules

Most technical analysis of ACM Research 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About ACM Research Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ACM Research Shanghai. We use our internally-developed statistical techniques to arrive at the intrinsic value of ACM Research Shanghai based on widely used predictive technical indicators. In general, we focus on analyzing ACM Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ACM Research's daily price indicators and compare them against related drivers, such as math transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of ACM Research's intrinsic value. In addition to deriving basic predictive indicators for ACM Research, we also check how macroeconomic factors affect ACM Research price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
104.74109.23113.72
Details
Intrinsic
Valuation
LowRealHigh
100.52105.01109.50
Details
Naive
Forecast
LowNextHigh
105.90110.38114.87
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ACM Research. Your research has to be compared to or analyzed against ACM Research's peers to derive any actionable benefits. When done correctly, ACM Research's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in ACM Research Shanghai.

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Other Information on Investing in ACM Stock

ACM Research financial ratios help investors to determine whether ACM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ACM with respect to the benefits of owning ACM Research security.