Spectrum Technical Analysis

<div class='circular--portrait' style='background:#689CFD;color: #ffffff;font-size:4em;padding-top: 25px;;'>SB</div>
SPB -- USA Stock  

Report: 5th of August 2020  

As of the 3rd of July, Spectrum Brands has the semi deviation of 3.85, risk adjusted performance of 0.2447, and coefficient of variation of 890.41. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spectrum Brands Hold, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate and analyze data for nineteen technical drivers for Spectrum Brands Holdings, which can be compared to its competition. Please validate Spectrum Brands Hold variance, as well as the relationship between the maximum drawdown and semi variance to decide if Spectrum Brands is priced more or less accurately, providing market reflects its prevalent price of 46.41 per share. Given that Spectrum Brands Hold has jensen alpha of 0.0794, we advise you to double-check Spectrum Brands Holdings's current market performance to make sure the company can sustain itself at a future point.

Search Technical Analysis

Target PriceAdvice# of Analysts
Spectrum Brands Holdings current and past analyst recommendations published by a number of research institutions as well as average analyst consensus. Most Spectrum 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 Spectrum stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Spectrum Brands Hold, talking to its executives and customers, or listening to Spectrum conference calls.
Spectrum Analyst Advice Details
Spectrum Brands 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.
A focus of Spectrum Brands technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Spectrum Brands trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Spectrum Brands Hold Technical Analysis

Time Period
  Portfolio Suggestion    
Execute Indicator
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. 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 Spectrum Brands Hold volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.

Spectrum Brands Hold Trend Analysis

Use this graph to draw trend lines for Spectrum Brands Holdings. You can use it to identify possible trend reversals for Spectrum Brands 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 Spectrum Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Spectrum Brands Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Spectrum Brands Holdings applied against its price change over selected period. The best fit line has a slop of   0.19  , which may imply that Spectrum Brands Holdings will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 1324.73, which is the sum of squared deviations for the predicted Spectrum Brands price change compared to its average price change.

About Spectrum Brands 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 Spectrum Brands Holdings 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 Spectrum Brands Holdings based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Spectrum Brands Hold stock first instead of the macroeconomic environment surrounding Spectrum Brands Hold . By analyzing Spectrum Brands's financials, daily price indicators, and its related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Spectrum Brands'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 Spectrum Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2015 2016 2019 2020 (projected)
Long Term Debt to Equity1.922.071.861.91
Interest Coverage2.622.662.391.97

Spectrum Brands July 3, 2020 Technical Indicators

Most technical analysis of Spectrum stock 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 Spectrum from various momentum indicators to cycle indicators. When you analyze Spectrum 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 Performance0.2447
Market Risk Adjusted Performance0.3293
Mean Deviation3.12
Semi Deviation3.85
Downside Deviation4.29
Coefficient Of Variation890.41
Standard Deviation4.0
Information Ratio0.0444
Jensen Alpha0.0794
Total Risk Alpha(0.05)
Sortino Ratio0.0414
Treynor Ratio0.3193
Maximum Drawdown18.73
Value At Risk(6.18)
Potential Upside6.85
Downside Variance18.37
Semi Variance14.85
Expected Short fall(3.07)
Additionally, take a look at World Market Map. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page