Synalloy Stock Technical Analysis
| SYNLDelisted Stock | USD 14.50 0.59 3.91% |
As of the 24th of April, Synalloy has the Coefficient Of Variation of 8143.69, semi deviation of 2.37, and Risk Adjusted Performance of 0.0159. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Synalloy, 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 nineteen technical drivers for Synalloy, which can be compared to its competition. Please validate Synalloy variance, value at risk, as well as the relationship between the Value At Risk and skewness to decide if Synalloy is priced more or less accurately, providing market reflects its prevalent price of 14.5 per share. Given that Synalloy has jensen alpha of 0.0688, we advise you to double-check Synalloy's current market performance to make sure the company can sustain itself at a future point.
Synalloy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Synalloy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SynalloySynalloy |
Synalloy 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, delisted stock market cycles, or different charting patterns.
Synalloy Technical Analysis
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Synalloy Trend Analysis
Use this graph to draw trend lines for Synalloy. You can use it to identify possible trend reversals for Synalloy 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 Synalloy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Synalloy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Synalloy applied against its price change over selected period. The best fit line has a slop of 0.05 , which means Synalloy will continue generating value for investors. It has 122 observation points and a regression sum of squares at 109.67, which is the sum of squared deviations for the predicted Synalloy price change compared to its average price change.About Synalloy 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 Synalloy 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 Synalloy based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Synalloy price pattern first instead of the macroeconomic environment surrounding Synalloy. By analyzing Synalloy'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 Synalloy'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 Synalloy specific price patterns or momentum indicators. Please read more on our technical analysis page.
Synalloy April 24, 2024 Technical Indicators
Most technical analysis of Synalloy 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 Synalloy from various momentum indicators to cycle indicators. When you analyze Synalloy 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 | 0.0159 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 2.19 | |||
| Semi Deviation | 2.37 | |||
| Downside Deviation | 2.45 | |||
| Coefficient Of Variation | 8143.69 | |||
| Standard Deviation | 3.45 | |||
| Variance | 11.91 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0688 | |||
| Total Risk Alpha | (0.44) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 22.38 | |||
| Value At Risk | (4.06) | |||
| Potential Upside | 5.0 | |||
| Downside Variance | 5.99 | |||
| Semi Variance | 5.63 | |||
| Expected Short fall | (2.72) | |||
| Skewness | 2.35 | |||
| Kurtosis | 9.53 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Other Consideration for investing in Synalloy Stock
If you are still planning to invest in Synalloy check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Synalloy's history and understand the potential risks before investing.
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