Ssr Mining (Australia) Statistic Functions Linear Regression Slope

SSR Stock   8.76  0.17  1.90%   
Ssr Mining statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Ssr Mining. Ssr Mining value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Ssr Mining statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
The output start index for this execution was three with a total number of output elements of fifty-eight. The Linear Regression Slope is the rate of change in Ssr Mining price series over its benchmark or peer price series.

Ssr Mining Technical Analysis Modules

Most technical analysis of Ssr Mining 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 Ssr from various momentum indicators to cycle indicators. When you analyze Ssr 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.

About Ssr Mining 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 Ssr Mining. We use our internally-developed statistical techniques to arrive at the intrinsic value of Ssr Mining based on widely used predictive technical indicators. In general, we focus on analyzing Ssr Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Ssr Mining'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 Ssr Mining's intrinsic value. In addition to deriving basic predictive indicators for Ssr Mining, we also check how macroeconomic factors affect Ssr Mining price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
5.488.7612.04
Details
Intrinsic
Valuation
LowRealHigh
4.697.9711.25
Details
Naive
Forecast
LowNextHigh
6.339.6012.88
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.000.000.00
Details

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Additional Tools for Ssr Stock Analysis

When running Ssr Mining's price analysis, check to measure Ssr Mining'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 Ssr Mining is operating at the current time. Most of Ssr Mining's value examination focuses on studying past and present price action to predict the probability of Ssr Mining's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ssr Mining's price. Additionally, you may evaluate how the addition of Ssr Mining to your portfolios can decrease your overall portfolio volatility.