Believe SAS (France) Technical Analysis

BLV Stock   14.38  0.02  0.14%   
As of the 14th of December 2024, Believe SAS shows the Risk Adjusted Performance of (0.01), mean deviation of 0.9023, and Standard Deviation of 1.42. Believe SAS 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.

Believe SAS Momentum Analysis

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

Believe SAS Technical Analysis

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The output start index for this execution was thirty with a total number of output elements of thirty-one. 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 Believe SAS volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Believe SAS Trend Analysis

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

Believe SAS Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Believe SAS applied against its price change over selected period. The best fit line has a slop of   0.01  , which may suggest that Believe SAS market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.41, which is the sum of squared deviations for the predicted Believe SAS price change compared to its average price change.

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

Believe SAS December 14, 2024 Technical Indicators

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

Believe SAS December 14, 2024 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Believe stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Complementary Tools for Believe Stock analysis

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