Acacia Research Stock Forecast - Polynomial Regression
| ACTG Stock | USD 3.64 0.09 2.54% |
The Polynomial Regression forecasted value of Acacia Research on the next trading day is expected to be 3.56 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.65. Acacia Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Acacia Research's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 8th of January 2026, the value of RSI of Acacia Research's share price is approaching 49. This suggests that the 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 Acacia Research, making its price go up or down. Momentum 49
Impartial
Oversold | Overbought |
Using Acacia Research hype-based prediction, you can estimate the value of Acacia Research from the perspective of Acacia Research response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Acacia Research on the next trading day is expected to be 3.56 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.65. Acacia Research after-hype prediction price | USD 0.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Acacia Research to cross-verify your projections. For more detail on how to invest in Acacia Stock please use our How to Invest in Acacia Research guide.Acacia Research Additional Predictive Modules
Most predictive techniques to examine Acacia price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Acacia using various technical indicators. When you analyze Acacia 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 |
Acacia Research Polynomial Regression Price Forecast For the 9th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Acacia Research on the next trading day is expected to be 3.56 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.65.Please note that although there have been many attempts to predict Acacia 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 Acacia Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Acacia Research Stock Forecast Pattern
| Backtest Acacia Research | Acacia Research Price Prediction | Buy or Sell Advice |
Acacia Research Forecasted Value
In the context of forecasting Acacia Research'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. Acacia Research's downside and upside margins for the forecasting period are 0.99 and 6.12, respectively. We have considered Acacia Research'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Acacia Research stock data series using in forecasting. Note that when a statistical model is used to represent Acacia Research 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 | 113.369 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0762 |
| MAPE | Mean absolute percentage error | 0.0213 |
| SAE | Sum of the absolute errors | 4.6504 |
Predictive Modules for Acacia Research
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Acacia Research. 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 Acacia Research'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 Acacia Research
For every potential investor in Acacia, whether a beginner or expert, Acacia Research's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Acacia Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Acacia. Basic forecasting techniques help filter out the noise by identifying Acacia Research's price trends.Acacia Research 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 Acacia Research stock to make a market-neutral strategy. Peer analysis of Acacia Research could also be used in its relative valuation, which is a method of valuing Acacia Research by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Acacia Research 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 Acacia Research'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 Acacia Research's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Acacia Research Market Strength Events
Market strength indicators help investors to evaluate how Acacia Research stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Acacia Research shares will generate the highest return on investment. By undertsting and applying Acacia Research stock market strength indicators, traders can identify Acacia Research entry and exit signals to maximize returns.
Acacia Research Risk Indicators
The analysis of Acacia Research'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 Acacia Research's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting acacia 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 | 1.81 | |||
| Semi Deviation | 2.59 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.57 | |||
| Downside Variance | 8.21 | |||
| Semi Variance | 6.73 | |||
| Expected Short fall | (1.72) |
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.
Currently Active Assets on Macroaxis
When determining whether Acacia Research is a strong investment it is important to analyze Acacia Research's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Acacia Research's future performance. For an informed investment choice regarding Acacia Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Acacia Research to cross-verify your projections. For more detail on how to invest in Acacia Stock please use our How to Invest in Acacia Research guide.You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Is Stock space 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 Acacia Research. If investors know Acacia 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 Acacia Research 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 Acacia Research is measured differently than its book value, which is the value of Acacia that is recorded on the company's balance sheet. Investors also form their own opinion of Acacia Research's value that differs from its market value or its book value, called intrinsic value, which is Acacia Research'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 Acacia Research's market value can be influenced by many factors that don't directly affect Acacia Research'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 Acacia Research's value and its price as these two are different measures arrived at by different means. Investors typically determine if Acacia Research is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Acacia Research'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.