Beijing Enterprises Water Stock Technical Analysis

BJWTF Stock  USD 0.29  0.00  0.00%   
As of the 23rd of November, Beijing Enterprises shows the Standard Deviation of 3.52, mean deviation of 1.04, and Risk Adjusted Performance of (0.03). Beijing Enterprises Water technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Beijing Enterprises Water coefficient of variation and maximum drawdown to decide if Beijing Enterprises Water is priced correctly, providing market reflects its regular price of 0.29 per share. As Beijing Enterprises Water appears to be a penny stock we also recommend to validate its jensen alpha numbers.

Beijing Enterprises Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Beijing, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Beijing
  
Beijing Enterprises' 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.
Beijing Enterprises 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 Beijing Enterprises technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Beijing Enterprises 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...

Beijing Enterprises Water Technical Analysis

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The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Beijing Enterprises Water volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Beijing Enterprises Water Trend Analysis

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

Beijing Enterprises Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Beijing Enterprises Water applied against its price change over selected period. The best fit line has a slop of   0.0009  , which means Beijing Enterprises Water will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.03, which is the sum of squared deviations for the predicted Beijing Enterprises price change compared to its average price change.

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

Beijing Enterprises November 23, 2024 Technical Indicators

Most technical analysis of Beijing 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 Beijing from various momentum indicators to cycle indicators. When you analyze Beijing 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 Beijing Pink Sheet analysis

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