Trimas Stock Momentum Indicators Chande Momentum Oscillator

TRS Stock  USD 24.59  0.05  0.20%   
TriMas momentum indicators tool provides the execution environment for running the Chande Momentum Oscillator indicator and other technical functions against TriMas. TriMas 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 momentum indicators indicators. As with most other technical indicators, the Chande Momentum Oscillator indicator function is designed to identify and follow existing trends. Momentum indicators of TriMas are pattern recognition functions that provide distinct formation on TriMas potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Chande Momentum Oscillator (CMO) is a technical momentum indicator created by Tushar Chande. TriMas CMO bullish signals are generated when the oscillator goes above the signal, and bearish signals are generated when TriMas oscillator crosses down through the signal.

TriMas Technical Analysis Modules

Most technical analysis of TriMas 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 TriMas from various momentum indicators to cycle indicators. When you analyze TriMas 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 TriMas 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 TriMas. We use our internally-developed statistical techniques to arrive at the intrinsic value of TriMas based on widely used predictive technical indicators. In general, we focus on analyzing TriMas Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build TriMas's daily price indicators and compare them against related drivers, such as momentum 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 TriMas's intrinsic value. In addition to deriving basic predictive indicators for TriMas, we also check how macroeconomic factors affect TriMas price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Dividend Yield0.005870.0063830.006064
Price To Sales Ratio1.331.171.12
Hype
Prediction
LowEstimatedHigh
22.6724.6026.53
Details
Intrinsic
Valuation
LowRealHigh
22.1328.6630.60
Details
3 Analysts
Consensus
LowTargetHigh
36.4040.0044.40
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.420.420.42
Details

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Additional Tools for TriMas Stock Analysis

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