Manulife Financial Stock Technical Analysis

MNLCF Stock  USD 14.00  0.23  1.67%   
As of the 26th of November, Manulife Financial secures the Standard Deviation of 0.2056, risk adjusted performance of 0.0669, and Mean Deviation of 0.0498. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Manulife Financial, as well as the relationship between them. Please verify Manulife Financial coefficient of variation, as well as the relationship between the total risk alpha and skewness to decide if Manulife Financial is priced some-what accurately, providing market reflects its recent price of 14.0 per share. Given that Manulife Financial has variance of 0.0423, we recommend you to check Manulife Financial's last-minute market performance to make sure the company can sustain itself at a future point.

Manulife Financial Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Manulife, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Manulife
  
Manulife Financial's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Manulife Financial 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.
A focus of Manulife Financial technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Manulife Financial trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Manulife Financial Technical Analysis

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The output start index for this execution was one with a total number of output elements of sixty. 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 Manulife Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Manulife Financial Trend Analysis

Use this graph to draw trend lines for Manulife Financial. You can use it to identify possible trend reversals for Manulife Financial 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 Manulife Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Manulife Financial Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Manulife Financial applied against its price change over selected period. The best fit line has a slop of    , which means Manulife Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.07, which is the sum of squared deviations for the predicted Manulife Financial price change compared to its average price change.

About Manulife Financial 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 Manulife Financial 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 Manulife Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Manulife Financial price pattern first instead of the macroeconomic environment surrounding Manulife Financial. By analyzing Manulife Financial'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 Manulife Financial'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 Manulife Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.

Manulife Financial November 26, 2024 Technical Indicators

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

Complementary Tools for Manulife Pink Sheet analysis

When running Manulife Financial's price analysis, check to measure Manulife 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 Manulife Financial is operating at the current time. Most of Manulife Financial's value examination focuses on studying past and present price action to predict the probability of Manulife 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 Manulife Financial's price. Additionally, you may evaluate how the addition of Manulife Financial to your portfolios can decrease your overall portfolio volatility.
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