Minto Apartment Real Stock Statistic Functions Linear Regression

MI-UN Stock  CAD 14.70  0.07  0.48%   
Minto Apartment statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Minto Apartment. Minto Apartment 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 function function is designed to identify and follow existing trends. Minto Apartment 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 twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of Minto Apartment Real and its peer or benchmark and helps predict Minto Apartment future price from its past values.

Minto Apartment Technical Analysis Modules

Most technical analysis of Minto Apartment 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 Minto from various momentum indicators to cycle indicators. When you analyze Minto 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 Minto Apartment 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 Minto Apartment Real. We use our internally-developed statistical techniques to arrive at the intrinsic value of Minto Apartment Real based on widely used predictive technical indicators. In general, we focus on analyzing Minto Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Minto Apartment'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 Minto Apartment's intrinsic value. In addition to deriving basic predictive indicators for Minto Apartment, we also check how macroeconomic factors affect Minto Apartment price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.01290.02090.01840.0133
Price To Sales Ratio10.586.346.739.03
Hype
Prediction
LowEstimatedHigh
13.5814.7215.86
Details
Intrinsic
Valuation
LowRealHigh
14.0015.1416.28
Details
Naive
Forecast
LowNextHigh
13.8514.9916.13
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.041.041.04
Details

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Additional Tools for Minto Stock Analysis

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