Barclays Plc Stock Technical Analysis
| BCLYF Stock | USD 3.12 0.09 2.97% |
As of the 5th of November, Barclays PLC shows the Downside Deviation of 3.2, risk adjusted performance of 0.0512, and Mean Deviation of 2.22. Barclays PLC technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Barclays PLC standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and expected short fall to decide if Barclays PLC is priced correctly, providing market reflects its regular price of 3.12 per share. Given that Barclays PLC has jensen alpha of 0.1247, we suggest you to validate Barclays PLC's prevailing market performance to make sure the company can sustain itself at a future point.
Barclays PLC Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Barclays, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BarclaysBarclays |
Barclays PLC technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Barclays PLC Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Barclays PLC volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Barclays PLC Trend Analysis
Use this graph to draw trend lines for Barclays PLC. You can use it to identify possible trend reversals for Barclays PLC 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 Barclays PLC price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Barclays PLC Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Barclays PLC applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Barclays PLC will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.95, which is the sum of squared deviations for the predicted Barclays PLC price change compared to its average price change.About Barclays PLC 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 Barclays PLC 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 Barclays PLC based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Barclays PLC price pattern first instead of the macroeconomic environment surrounding Barclays PLC. By analyzing Barclays PLC'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 Barclays PLC'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 Barclays PLC specific price patterns or momentum indicators. Please read more on our technical analysis page.
Barclays PLC November 5, 2024 Technical Indicators
Most technical analysis of Barclays 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 Barclays from various momentum indicators to cycle indicators. When you analyze Barclays 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 | 0.0512 | |||
| Market Risk Adjusted Performance | 0.2915 | |||
| Mean Deviation | 2.22 | |||
| Semi Deviation | 2.68 | |||
| Downside Deviation | 3.2 | |||
| Coefficient Of Variation | 1693.95 | |||
| Standard Deviation | 2.97 | |||
| Variance | 8.83 | |||
| Information Ratio | 0.0324 | |||
| Jensen Alpha | 0.1247 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0301 | |||
| Treynor Ratio | 0.2815 | |||
| Maximum Drawdown | 13.7 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 4.96 | |||
| Downside Variance | 10.22 | |||
| Semi Variance | 7.2 | |||
| Expected Short fall | (2.70) | |||
| Skewness | (0.04) | |||
| Kurtosis | 0.2468 |
Complementary Tools for Barclays Pink Sheet analysis
When running Barclays PLC's price analysis, check to measure Barclays PLC'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 Barclays PLC is operating at the current time. Most of Barclays PLC's value examination focuses on studying past and present price action to predict the probability of Barclays PLC's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Barclays PLC's price. Additionally, you may evaluate how the addition of Barclays PLC to your portfolios can decrease your overall portfolio volatility.
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