Roth CH Stock Forecast - 8 Period Moving Average
| ROCL Stock | USD 10.91 0.06 0.55% |
The 8 Period Moving Average forecasted value of Roth CH Acquisition on the next trading day is expected to be 10.88 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 5.44. Roth Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Roth CH stock prices and determine the direction of Roth CH Acquisition's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Roth CH's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Roth CH to cross-verify your projections. Roth |
Most investors in Roth CH cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Roth CH's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Roth CH's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Roth CH is based on an artificially constructed time series of Roth CH daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Roth CH 8 Period Moving Average Price Forecast For the 7th of May
Given 90 days horizon, the 8 Period Moving Average forecasted value of Roth CH Acquisition on the next trading day is expected to be 10.88 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.05, and the sum of the absolute errors of 5.44.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 9.12 and 12.63, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 8 Period Moving Average 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.| AIC | Akaike Information Criteria | 100.312 |
| Bias | Arithmetic mean of the errors | -0.0096 |
| MAD | Mean absolute deviation | 0.1026 |
| MAPE | Mean absolute percentage error | 0.0092 |
| SAE | Sum of the absolute errors | 5.4363 |
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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Roth CH's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 10.91 | |||
| Day Typical Price | 10.91 | |||
| Price Action Indicator | 0.03 | |||
| Period Momentum Indicator | 0.06 | |||
| Relative Strength Index | 46.71 |
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.
| Mean Deviation | 0.5719 | |||
| Semi Deviation | 1.48 | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.07 | |||
| Downside Variance | 7.47 | |||
| Semi Variance | 2.18 | |||
| Expected Short fall | (1.07) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Roth CH in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Roth CH's short interest history, or implied volatility extrapolated from Roth CH options trading.
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Check out Historical Fundamental Analysis of Roth CH to cross-verify your projections. Note that the Roth CH Acquisition information on this page should be used as a complementary analysis to other Roth CH's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary 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.
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Is Roth CH's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Roth CH. If investors know Roth will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Roth CH listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Roth CH Acquisition is measured differently than its book value, which is the value of Roth that is recorded on the company's balance sheet. Investors also form their own opinion of Roth CH's value that differs from its market value or its book value, called intrinsic value, which is Roth CH's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Roth CH's market value can be influenced by many factors that don't directly affect Roth CH's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Roth CH's value and its price as these two are different measures arrived at by different means. Investors typically determine if Roth CH is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Roth CH's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.