MaxLinear Stock Forecast - 8 Period Moving Average
| MXL Stock | USD 18.83 0.39 2.11% |
The 8 Period Moving Average forecasted value of MaxLinear on the next trading day is expected to be 18.10 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 43.43. MaxLinear Stock Forecast is based on your current time horizon. Although MaxLinear's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of MaxLinear's systematic risk associated with finding meaningful patterns of MaxLinear fundamentals over time.
MaxLinear |
Open Interest Against 2024-06-21 MaxLinear Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast MaxLinear's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in MaxLinear's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for MaxLinear stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current MaxLinear's open interest, investors have to compare it to MaxLinear's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of MaxLinear is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in MaxLinear. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in MaxLinear 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 MaxLinear's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets MaxLinear's price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for MaxLinear is based on an artificially constructed time series of MaxLinear 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. MaxLinear 8 Period Moving Average Price Forecast For the 20th of June
Given 90 days horizon, the 8 Period Moving Average forecasted value of MaxLinear on the next trading day is expected to be 18.10 with a mean absolute deviation of 0.82, mean absolute percentage error of 1.19, and the sum of the absolute errors of 43.43.Please note that although there have been many attempts to predict MaxLinear 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 MaxLinear's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
MaxLinear Stock Forecast Pattern
| Backtest MaxLinear | MaxLinear Price Prediction | Buy or Sell Advice |
MaxLinear Forecasted Value
In the context of forecasting MaxLinear'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. MaxLinear's downside and upside margins for the forecasting period are 15.17 and 21.03, respectively. We have considered MaxLinear'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 MaxLinear stock data series using in forecasting. Note that when a statistical model is used to represent MaxLinear 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 | 103.5853 |
| Bias | Arithmetic mean of the errors | 0.1703 |
| MAD | Mean absolute deviation | 0.8195 |
| MAPE | Mean absolute percentage error | 0.0417 |
| SAE | Sum of the absolute errors | 43.4325 |
Predictive Modules for MaxLinear
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MaxLinear. 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 MaxLinear'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 MaxLinear
For every potential investor in MaxLinear, whether a beginner or expert, MaxLinear's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. MaxLinear Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in MaxLinear. Basic forecasting techniques help filter out the noise by identifying MaxLinear's price trends.MaxLinear 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 MaxLinear stock to make a market-neutral strategy. Peer analysis of MaxLinear could also be used in its relative valuation, which is a method of valuing MaxLinear by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
MaxLinear 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 MaxLinear'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 MaxLinear's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
MaxLinear Market Strength Events
Market strength indicators help investors to evaluate how MaxLinear stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MaxLinear shares will generate the highest return on investment. By undertsting and applying MaxLinear stock market strength indicators, traders can identify MaxLinear entry and exit signals to maximize returns.
MaxLinear Risk Indicators
The analysis of MaxLinear'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 MaxLinear's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting maxlinear 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 | 2.18 | |||
| Semi Deviation | 2.89 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.35 | |||
| Downside Variance | 9.67 | |||
| Semi Variance | 8.33 | |||
| Expected Short fall | (2.13) |
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.
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as MaxLinear using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Additional Information and Resources on Investing in MaxLinear Stock
When determining whether MaxLinear is a strong investment it is important to analyze MaxLinear'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 MaxLinear's future performance. For an informed investment choice regarding MaxLinear Stock, refer to the following important reports:Check out Historical Fundamental Analysis of MaxLinear to cross-verify your projections. For more information on how to buy MaxLinear Stock please use our How to buy in MaxLinear Stock guide.You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Is Semiconductors & Semiconductor Equipment 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 MaxLinear. If investors know MaxLinear 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 MaxLinear listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.71) | Earnings Share (1.91) | Revenue Per Share 6.632 | Quarterly Revenue Growth (0.62) | Return On Assets (0.06) |
The market value of MaxLinear is measured differently than its book value, which is the value of MaxLinear that is recorded on the company's balance sheet. Investors also form their own opinion of MaxLinear's value that differs from its market value or its book value, called intrinsic value, which is MaxLinear'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 MaxLinear's market value can be influenced by many factors that don't directly affect MaxLinear'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 MaxLinear's value and its price as these two are different measures arrived at by different means. Investors typically determine if MaxLinear is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MaxLinear'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.