Metallic Minerals Corp Stock Statistic Functions Linear Regression Intercept

MMG Stock  CAD 0.14  0.02  12.50%   
Metallic Minerals statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Metallic Minerals. Metallic Minerals 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 Intercept function function is designed to identify and follow existing trends. Metallic Minerals 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.

Function
Time Period
Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression Intercept is the expected mean value of Metallic Minerals Corp price seriese where values of its benchmark or peer price series are zero.

Metallic Minerals Technical Analysis Modules

Most technical analysis of Metallic Minerals 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 Metallic from various momentum indicators to cycle indicators. When you analyze Metallic 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 Metallic Minerals 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 Metallic Minerals Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Metallic Minerals Corp based on widely used predictive technical indicators. In general, we focus on analyzing Metallic Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Metallic Minerals'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 Metallic Minerals's intrinsic value. In addition to deriving basic predictive indicators for Metallic Minerals, we also check how macroeconomic factors affect Metallic Minerals price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
Graham Number0.260.25
Receivables Turnover60.8831.16
Hype
Prediction
LowEstimatedHigh
0.010.147.90
Details
Intrinsic
Valuation
LowRealHigh
0.010.137.89
Details
Naive
Forecast
LowNextHigh
00.187.94
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.120.160.20
Details

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Additional Tools for Metallic Stock Analysis

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