Table Trac OTC Stock Forward View - Simple Regression

TBTC Stock  USD 4.07  0.14  3.33%   
Table OTC Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Table Trac stock prices and determine the direction of Table Trac's future trends based on various well-known forecasting models. We suggest always using this module together with an analysis of Table Trac's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the value of RSI of Table Trac's share price is approaching 48. This usually implies that the otc stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Table Trac, making its price go up or down.

Momentum 48

 Impartial

 
Oversold
 
Overbought
Table Trac stock price prediction is an act of determining the future value of Table Trac shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Table Trac's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Table Trac and does not consider all of the tangible or intangible factors available from Table Trac's fundamental data. We analyze noise-free headlines and recent hype associated with Table Trac, which may create opportunities for some arbitrage if properly timed.
It is a matter of debate whether otc price prediction based on information in financial news can generate signals. We use our internally-built news screening methodology to estimate the value of Table Trac based on different types of headlines from major news networks to social media. Using Table Trac hype-based prediction, you can estimate the value of Table Trac from the perspective of Table Trac response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Table Trac on the next trading day is expected to be 4.02 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.24.

Table Trac after-hype prediction price

    
  USD 4.07  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Table Trac to cross-verify your projections.

Table Trac Additional Predictive Modules

Most predictive techniques to examine Table price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Table using various technical indicators. When you analyze Table 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Table Trac 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.

Table Trac Simple Regression Price Forecast For the 4th of February

Given 90 days horizon, the Simple Regression forecasted value of Table Trac on the next trading day is expected to be 4.02 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.24.
Please note that although there have been many attempts to predict Table OTC Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Table Trac's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Table Trac OTC Stock Forecast Pattern

Backtest Table Trac  Table Trac Price Prediction  Research Analysis  

Table Trac Forecasted Value

In the context of forecasting Table Trac's OTC 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. Table Trac's downside and upside margins for the forecasting period are 0.01 and 8.03, respectively. We have considered Table Trac'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
4.07
4.02
Expected Value
8.03
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 Table Trac otc stock data series using in forecasting. Note that when a statistical model is used to represent Table Trac otc 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 Criteria116.7346
BiasArithmetic mean of the errors None
MADMean absolute deviation0.149
MAPEMean absolute percentage error0.0363
SAESum of the absolute errors9.2408
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 Table Trac 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 Table Trac

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Table Trac. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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 Table Trac'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.
Hype
Prediction
LowEstimatedHigh
0.094.078.05
Details
Intrinsic
Valuation
LowRealHigh
0.173.467.45
Details

Table Trac After-Hype Price Density Analysis

As far as predicting the price of Table Trac at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Table Trac or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of OTC Stock prices, such as prices of Table Trac, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Table Trac Estimiated After-Hype Price Volatility

In the context of predicting Table Trac's otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Table Trac's historical news coverage. Table Trac's after-hype downside and upside margins for the prediction period are 0.09 and 8.05, respectively. We have considered Table Trac's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
4.07
4.07
After-hype Price
8.05
Upside
Table Trac is unstable at this time. Analysis and calculation of next after-hype price of Table Trac is based on 3 months time horizon.

Table Trac OTC Stock Price Outlook Analysis

Have you ever been surprised when a price of a OTC Stock such as Table Trac is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Table Trac backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the OTC price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Table Trac, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
4.01
 0.00  
 0.00  
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
4.07
4.07
0.00 
0.00  
Notes

Table Trac Hype Timeline

Table Trac is at this time traded for 4.07. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Table is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is at this time at 0.0%. %. The volatility of related hype on Table Trac is about 0.0%, with the expected price after the next announcement by competition of 4.07. About 41.0% of the company outstanding shares are owned by corporate insiders. The book value of Table Trac was at this time reported as 1.71. The company last dividend was issued on the 8th of December 2022. Given the investment horizon of 90 days the next anticipated press release will be within a week.
Check out Historical Fundamental Analysis of Table Trac to cross-verify your projections.

Table Trac Related Hype Analysis

Having access to credible news sources related to Table Trac's direct competition is more important than ever and may enhance your ability to predict Table Trac's future price movements. Getting to know how Table Trac's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Table Trac may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Table Trac

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

Table Trac 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 Table Trac otc stock to make a market-neutral strategy. Peer analysis of Table Trac could also be used in its relative valuation, which is a method of valuing Table Trac by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Table Trac Market Strength Events

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

Table Trac Risk Indicators

The analysis of Table Trac'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 Table Trac's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting table otc 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.

Story Coverage note for Table Trac

The number of cover stories for Table Trac depends on current market conditions and Table Trac's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Table Trac is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Table Trac's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Other Information on Investing in Table OTC Stock

Table Trac financial ratios help investors to determine whether Table OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Table with respect to the benefits of owning Table Trac security.