Super Micro Stock Forecast - Triple Exponential Smoothing

SMCI Stock  USD 35.07  0.64  1.86%   
The Triple Exponential Smoothing forecasted value of Super Micro Computer on the next trading day is expected to be 34.18 with a mean absolute deviation of 2.18 and the sum of the absolute errors of 130.61. Super Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Super Micro's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of now, Super Micro's Asset Turnover is decreasing as compared to previous years. . The Super Micro's current Net Income Applicable To Common Shares is estimated to increase to about 772.8 M, while Common Stock Shares Outstanding is projected to decrease to under 474.8 M.
Triple exponential smoothing for Super Micro - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Super Micro prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Super Micro price movement. However, neither of these exponential smoothing models address any seasonality of Super Micro Computer.

Super Micro Triple Exponential Smoothing Price Forecast For the 29th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Super Micro Computer on the next trading day is expected to be 34.18 with a mean absolute deviation of 2.18, mean absolute percentage error of 10.57, and the sum of the absolute errors of 130.61.
Please note that although there have been many attempts to predict Super 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 Super Micro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Super Micro Stock Forecast Pattern

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Super Micro Forecasted Value

In the context of forecasting Super Micro'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. Super Micro's downside and upside margins for the forecasting period are 25.30 and 43.06, respectively. We have considered Super Micro'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
35.07
34.18
Expected Value
43.06
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Super Micro stock data series using in forecasting. Note that when a statistical model is used to represent Super Micro 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 CriteriaHuge
BiasArithmetic mean of the errors -0.7835
MADMean absolute deviation2.1768
MAPEMean absolute percentage error0.0634
SAESum of the absolute errors130.61
As with simple exponential smoothing, in triple exponential smoothing models past Super Micro observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Super Micro Computer observations.

Predictive Modules for Super Micro

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Super Micro Computer. 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 Super Micro'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
26.2635.0843.90
Details
Intrinsic
Valuation
LowRealHigh
25.7534.5743.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.8526.6239.40
Details
11 Analysts
Consensus
LowTargetHigh
36.6940.3244.76
Details

Other Forecasting Options for Super Micro

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

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

Super Micro Computer 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 Super Micro'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 Super Micro's current price.

Super Micro Market Strength Events

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

Super Micro Risk Indicators

The analysis of Super Micro'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 Super Micro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting super 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.

Currently Active Assets on Macroaxis

When determining whether Super Micro Computer offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Super Micro's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Super Micro Computer Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Super Micro Computer Stock:
Check out Historical Fundamental Analysis of Super Micro to cross-verify your projections.
You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Is Technology Hardware, Storage & Peripherals 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 Super Micro. If investors know Super 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 Super Micro 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
0.61
Earnings Share
2.01
Revenue Per Share
26.881
Quarterly Revenue Growth
1.43
Return On Assets
0.1162
The market value of Super Micro Computer is measured differently than its book value, which is the value of Super that is recorded on the company's balance sheet. Investors also form their own opinion of Super Micro's value that differs from its market value or its book value, called intrinsic value, which is Super Micro'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 Super Micro's market value can be influenced by many factors that don't directly affect Super Micro'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 Super Micro's value and its price as these two are different measures arrived at by different means. Investors typically determine if Super Micro is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Super Micro'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.