CCA Industries Pink Sheet Forecast - Double Exponential Smoothing
| CAWW Stock | USD 0.52 0.02 4.00% |
The Double Exponential Smoothing forecasted value of CCA Industries on the next trading day is expected to be 0.52 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.71. CCA Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of CCA Industries' share price is below 20 suggesting that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using CCA Industries hype-based prediction, you can estimate the value of CCA Industries from the perspective of CCA Industries response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of CCA Industries on the next trading day is expected to be 0.52 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.71. CCA Industries after-hype prediction price | USD 0.52 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
CCA |
CCA Industries Additional Predictive Modules
Most predictive techniques to examine CCA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CCA using various technical indicators. When you analyze CCA 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CCA Industries Double Exponential Smoothing Price Forecast For the 15th of January 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of CCA Industries on the next trading day is expected to be 0.52 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.71.Please note that although there have been many attempts to predict CCA Pink Sheet 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 CCA Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CCA Industries Pink Sheet Forecast Pattern
| Backtest CCA Industries | CCA Industries Price Prediction | Buy or Sell Advice |
CCA Industries Forecasted Value
In the context of forecasting CCA Industries' Pink Sheet 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. CCA Industries' downside and upside margins for the forecasting period are 0.01 and 3.35, respectively. We have considered CCA Industries' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of CCA Industries pink sheet data series using in forecasting. Note that when a statistical model is used to represent CCA Industries pink sheet, 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0027 |
| MAD | Mean absolute deviation | 0.0118 |
| MAPE | Mean absolute percentage error | 0.019 |
| SAE | Sum of the absolute errors | 0.7082 |
Predictive Modules for CCA Industries
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CCA Industries. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 CCA Industries' 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 CCA Industries
For every potential investor in CCA, whether a beginner or expert, CCA Industries' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CCA Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CCA. Basic forecasting techniques help filter out the noise by identifying CCA Industries' price trends.CCA Industries 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 CCA Industries pink sheet to make a market-neutral strategy. Peer analysis of CCA Industries could also be used in its relative valuation, which is a method of valuing CCA Industries by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CCA Industries Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of CCA Industries' 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 CCA Industries' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CCA Industries Market Strength Events
Market strength indicators help investors to evaluate how CCA Industries pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CCA Industries shares will generate the highest return on investment. By undertsting and applying CCA Industries pink sheet market strength indicators, traders can identify CCA Industries entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 0.52 | |||
| Day Typical Price | 0.52 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.02 |
CCA Industries Risk Indicators
The analysis of CCA Industries' 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 CCA Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cca pink sheet 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 | 1.63 | |||
| Standard Deviation | 3.67 | |||
| Variance | 13.48 |
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 CCA Pink Sheet Analysis
When running CCA Industries' price analysis, check to measure CCA Industries' 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 CCA Industries is operating at the current time. Most of CCA Industries' value examination focuses on studying past and present price action to predict the probability of CCA Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CCA Industries' price. Additionally, you may evaluate how the addition of CCA Industries to your portfolios can decrease your overall portfolio volatility.