Roth CH Stock Forecast - Simple Regression

ROCLW Stock  USD 0.38  0.02  5.56%   
The Simple Regression forecasted value of Roth CH Acquisition on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.84. Roth Stock Forecast is based on your current time horizon.
  
At this time, Roth CH's Other Current Liabilities is fairly stable compared to the past year. Total Current Liabilities is likely to climb to about 2.8 M in 2024, whereas Total Stockholder Equity is likely to drop slightly above 13.8 M in 2024.
Simple Regression model is a single variable regression model that attempts to put a straight line through Roth CH price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Roth CH Simple Regression Price Forecast For the 25th of November

Given 90 days horizon, the Simple Regression forecasted value of Roth CH Acquisition on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.84.
Please note that although there have been many attempts to predict Roth Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Roth CH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Roth CH Stock Forecast Pattern

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Roth CH Forecasted Value

In the context of forecasting Roth CH's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Roth CH's downside and upside margins for the forecasting period are 0 and 18.23, respectively. We have considered Roth CH's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.38
0.15
Expected Value
18.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Roth CH stock data series using in forecasting. Note that when a statistical model is used to represent Roth CH stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria112.6321
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0465
MAPEMean absolute percentage error0.6875
SAESum of the absolute errors2.8391
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Roth CH Acquisition historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Roth CH

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Roth CH Acquisition. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.020.3118.39
Details
Intrinsic
Valuation
LowRealHigh
0.010.2318.31
Details

Other Forecasting Options for Roth CH

For every potential investor in Roth, whether a beginner or expert, Roth CH's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Roth Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Roth. Basic forecasting techniques help filter out the noise by identifying Roth CH's price trends.

Roth CH Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Roth CH stock to make a market-neutral strategy. Peer analysis of Roth CH could also be used in its relative valuation, which is a method of valuing Roth CH by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Roth CH Acquisition Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Roth CH's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Roth CH's current price.

Roth CH Market Strength Events

Market strength indicators help investors to evaluate how Roth CH stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Roth CH shares will generate the highest return on investment. By undertsting and applying Roth CH stock market strength indicators, traders can identify Roth CH Acquisition entry and exit signals to maximize returns.

Roth CH Risk Indicators

The analysis of Roth CH's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Roth CH's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting roth stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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.