Super Micro Computer Stock Technical Analysis
SMCI Stock | USD 33.15 3.45 11.62% |
As of the 25th of November, Super Micro has the Risk Adjusted Performance of (0.04), variance of 76.27, and Coefficient Of Variation of (1,685). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Super Micro Computer, as well as the relationship between them.
Super Micro Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Super, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SuperSuper |
Super Micro Analyst Consensus
Target Price | Advice | # of Analysts | |
40.32 | Buy | 11 | Odds |
Most Super analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Super stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Super Micro Computer, talking to its executives and customers, or listening to Super conference calls.
Super Micro technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Super Micro Computer Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Super Micro Computer volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Super Micro Computer Trend Analysis
Use this graph to draw trend lines for Super Micro Computer. You can use it to identify possible trend reversals for Super Micro as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Super Micro price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Super Micro Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Super Micro Computer applied against its price change over selected period. The best fit line has a slop of 0.36 , which may suggest that Super Micro Computer market price will keep on failing further. It has 122 observation points and a regression sum of squares at 4784.81, which is the sum of squared deviations for the predicted Super Micro price change compared to its average price change.About Super Micro Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Super Micro Computer on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Super Micro Computer based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Super Micro Computer price pattern first instead of the macroeconomic environment surrounding Super Micro Computer. By analyzing Super Micro's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Super Micro's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Super Micro specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 58.62 | 58.84 | 65.18 | 34.79 | PTB Ratio | 1.46 | 6.69 | 8.26 | 8.67 |
Super Micro November 25, 2024 Technical Indicators
Most technical analysis of Super help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Super from various momentum indicators to cycle indicators. When you analyze Super charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
Risk Adjusted Performance | (0.04) | |||
Market Risk Adjusted Performance | 1.15 | |||
Mean Deviation | 5.54 | |||
Coefficient Of Variation | (1,685) | |||
Standard Deviation | 8.73 | |||
Variance | 76.27 | |||
Information Ratio | (0.07) | |||
Jensen Alpha | (0.47) | |||
Total Risk Alpha | (1.90) | |||
Treynor Ratio | 1.14 | |||
Maximum Drawdown | 48.46 | |||
Value At Risk | (12.18) | |||
Potential Upside | 15.12 | |||
Skewness | (0.05) | |||
Kurtosis | 4.5 |
Complementary Tools for Super Stock analysis
When running Super Micro's price analysis, check to measure Super Micro'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 Super Micro is operating at the current time. Most of Super Micro's value examination focuses on studying past and present price action to predict the probability of Super Micro's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Super Micro's price. Additionally, you may evaluate how the addition of Super Micro to your portfolios can decrease your overall portfolio volatility.
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