Roth Ch Acquisition Stock Statistic Functions Linear Regression

ROCLW Stock  USD 0.40  0.17  73.91%   
Roth CH statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Roth CH. Roth CH 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 statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Roth CH statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Roth CH Acquisition and its peer or benchmark and helps predict Roth CH future price from its past values.

Roth CH Technical Analysis Modules

Most technical analysis of Roth CH 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 Roth from various momentum indicators to cycle indicators. When you analyze Roth 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 Roth CH 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 Roth CH Acquisition. We use our internally-developed statistical techniques to arrive at the intrinsic value of Roth CH Acquisition based on widely used predictive technical indicators. In general, we focus on analyzing Roth Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Roth CH's daily price indicators and compare them against related drivers, such as statistic functions 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 Roth CH's intrinsic value. In addition to deriving basic predictive indicators for Roth CH, we also check how macroeconomic factors affect Roth CH price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2010 2022 2023 2024 (projected)
Current Ratio10.78184.566.416.09
Net Debt To EBITDA5.391.271.461.39
Hype
Prediction
LowEstimatedHigh
0.020.4921.93
Details
Intrinsic
Valuation
LowRealHigh
0.020.3421.78
Details

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Additional Tools for Roth Stock Analysis

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