BSP Financial (Australia) Statistic Functions Beta
| BFL Stock | 6.42 0.34 5.03% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on BSP Financial Group correlated with the market. If Beta is less than 0 BSP Financial generally moves in the opposite direction as compared to the market. If BSP Financial Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one BSP Financial Group is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of BSP Financial is generally in the same direction as the market. If Beta > 1 BSP Financial moves generally in the same direction as, but more than the movement of the benchmark.
BSP Financial Technical Analysis Modules
Most technical analysis of BSP Financial 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 BSP from various momentum indicators to cycle indicators. When you analyze BSP charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About BSP Financial Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BSP Financial Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of BSP Financial Group based on widely used predictive technical indicators. In general, we focus on analyzing BSP Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build BSP Financial's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of BSP Financial's intrinsic value. In addition to deriving basic predictive indicators for BSP Financial, we also check how macroeconomic factors affect BSP Financial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Additional Tools for BSP Stock Analysis
When running BSP Financial's price analysis, check to measure BSP Financial'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 BSP Financial is operating at the current time. Most of BSP Financial's value examination focuses on studying past and present price action to predict the probability of BSP Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BSP Financial's price. Additionally, you may evaluate how the addition of BSP Financial to your portfolios can decrease your overall portfolio volatility.