Super Micro Computer Stock Technical Analysis
| SMCI Stock | 11.25 1.14 11.28% |
As of the 7th of February, Super Micro has the Risk Adjusted Performance of (0.07), coefficient of variation of (989.28), and Variance of 17.18. 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. Please validate Super Micro Computer mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Super Micro is priced more or less accurately, providing market reflects its prevalent price of 11.25 per share.
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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Super Micro's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Super Micro.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Super Micro on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Super Micro Computer or generate 0.0% return on investment in Super Micro over 90 days. Super Micro is related to or competes with Arista Networks, Volatus Aerospace, and Tokens Corp. Super Micro is entity of Canada. It is traded as Stock on NEO exchange. More
Super Micro Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Super Micro's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Super Micro Computer upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 21.56 | |||
| Value At Risk | (6.38) | |||
| Potential Upside | 5.72 |
Super Micro Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Super Micro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Super Micro's standard deviation. In reality, there are many statistical measures that can use Super Micro historical prices to predict the future Super Micro's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.30) |
Super Micro February 7, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 2.93 | |||
| Coefficient Of Variation | (989.28) | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.18 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 21.56 | |||
| Value At Risk | (6.38) | |||
| Potential Upside | 5.72 | |||
| Skewness | 0.6954 | |||
| Kurtosis | 2.49 |
Super Micro Computer Backtested Returns
Super Micro Computer owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0474, which indicates the firm had a -0.0474 % return per unit of risk over the last 3 months. Super Micro Computer exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Super Micro's Coefficient Of Variation of (989.28), variance of 17.18, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of 1.44, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Super Micro will likely underperform. At this point, Super Micro Computer has a negative expected return of -0.19%. Please make sure to validate Super Micro's potential upside, kurtosis, and the relationship between the maximum drawdown and skewness , to decide if Super Micro Computer performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Super Micro Computer has insignificant reverse predictability. Overlapping area represents the amount of predictability between Super Micro time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Super Micro Computer price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Super Micro price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
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 fifty with a total number of output elements of eleven. 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.
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.
Super Micro February 7, 2026 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 | (0.07) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 2.93 | |||
| Coefficient Of Variation | (989.28) | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.18 | |||
| Information Ratio | (0.12) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 21.56 | |||
| Value At Risk | (6.38) | |||
| Potential Upside | 5.72 | |||
| Skewness | 0.6954 | |||
| Kurtosis | 2.49 |
Super Micro February 7, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Super stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 17,299 | ||
| Daily Balance Of Power | 1.13 | ||
| Rate Of Daily Change | 1.11 | ||
| Day Median Price | 10.85 | ||
| Day Typical Price | 10.98 | ||
| Price Action Indicator | 0.98 |
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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