Acast AB Stock Forecast - Simple Regression

ACAST Stock   35.25  0.15  0.43%   
The Simple Regression forecasted value of Acast AB on the next trading day is expected to be 37.28 with a mean absolute deviation of 1.89 and the sum of the absolute errors of 117.08. Acast Stock Forecast is based on your current time horizon.
The value of RSI of Acast AB's share price is above 70 at this time. This suggests that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Acast, making its price go up or down.

Momentum 70

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Acast AB'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 Acast AB and does not consider all of the tangible or intangible factors available from Acast AB's fundamental data. We analyze noise-free headlines and recent hype associated with Acast AB, which may create opportunities for some arbitrage if properly timed.
Using Acast AB hype-based prediction, you can estimate the value of Acast AB from the perspective of Acast AB response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Acast AB on the next trading day is expected to be 37.28 with a mean absolute deviation of 1.89 and the sum of the absolute errors of 117.08.

Acast AB after-hype prediction price

    
  SEK 35.25  
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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.

Acast AB Additional Predictive Modules

Most predictive techniques to examine Acast price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Acast using various technical indicators. When you analyze Acast 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 Acast AB 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.

Acast AB Simple Regression Price Forecast For the 7th of January

Given 90 days horizon, the Simple Regression forecasted value of Acast AB on the next trading day is expected to be 37.28 with a mean absolute deviation of 1.89, mean absolute percentage error of 4.43, and the sum of the absolute errors of 117.08.
Please note that although there have been many attempts to predict Acast 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 Acast AB's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Acast AB Stock Forecast Pattern

Backtest Acast ABAcast AB Price PredictionBuy or Sell Advice 

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 Acast AB stock data series using in forecasting. Note that when a statistical model is used to represent Acast AB 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 Criteria121.4377
BiasArithmetic mean of the errors None
MADMean absolute deviation1.8884
MAPEMean absolute percentage error0.0685
SAESum of the absolute errors117.0781
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 Acast AB 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 Acast AB

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Acast AB. 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 Acast AB'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
31.6635.2538.84
Details
Intrinsic
Valuation
LowRealHigh
33.3436.9340.52
Details
Bollinger
Band Projection (param)
LowMiddleHigh
34.1134.9035.69
Details

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

Acast AB Market Strength Events

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

Acast AB Risk Indicators

The analysis of Acast AB'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 Acast AB's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting acast 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Acast Stock Analysis

When running Acast AB's price analysis, check to measure Acast AB'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 Acast AB is operating at the current time. Most of Acast AB's value examination focuses on studying past and present price action to predict the probability of Acast AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Acast AB's price. Additionally, you may evaluate how the addition of Acast AB to your portfolios can decrease your overall portfolio volatility.