Cytomx Therapeutics Stock Cycle Indicators Hilbert Transform Dominant Cycle Period

CTMX Stock  USD 0.87  0.02  2.25%   
CytomX Therapeutics cycle indicators tool provides the execution environment for running the Hilbert Transform Dominant Cycle Period indicator and other technical functions against CytomX Therapeutics. CytomX Therapeutics 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 cycle indicators indicators. As with most other technical indicators, the Hilbert Transform Dominant Cycle Period indicator function is designed to identify and follow existing trends. Cycle Indicators are used by chartists in order to analyze variations of the instantaneous phase or amplitude of CytomX Therapeutics price series.

Indicator
The output start index for this execution was thirty-two with a total number of output elements of twenty-nine. The Hilbert Transform - Dominant Cycle Period indicator is used to generate in-phase and quadrature components of CytomX Therapeutics price series in order to analyze variations of the instantaneous cycles.

CytomX Therapeutics Technical Analysis Modules

Most technical analysis of CytomX Therapeutics 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 CytomX from various momentum indicators to cycle indicators. When you analyze CytomX 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 CytomX Therapeutics 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 CytomX Therapeutics. We use our internally-developed statistical techniques to arrive at the intrinsic value of CytomX Therapeutics based on widely used predictive technical indicators. In general, we focus on analyzing CytomX Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build CytomX Therapeutics's daily price indicators and compare them against related drivers, such as cycle indicators 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 CytomX Therapeutics's intrinsic value. In addition to deriving basic predictive indicators for CytomX Therapeutics, we also check how macroeconomic factors affect CytomX Therapeutics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Dividend Yield0.03360.0299
Price To Sales Ratio1.131.07
Hype
Prediction
LowEstimatedHigh
0.040.874.34
Details
Intrinsic
Valuation
LowRealHigh
0.061.264.73
Details
Naive
Forecast
LowNextHigh
0.020.854.32
Details
7 Analysts
Consensus
LowTargetHigh
2.272.492.76
Details

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Additional Tools for CytomX Stock Analysis

When running CytomX Therapeutics' price analysis, check to measure CytomX Therapeutics' 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 CytomX Therapeutics is operating at the current time. Most of CytomX Therapeutics' value examination focuses on studying past and present price action to predict the probability of CytomX Therapeutics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CytomX Therapeutics' price. Additionally, you may evaluate how the addition of CytomX Therapeutics to your portfolios can decrease your overall portfolio volatility.