Big Shopping (Israel) Technical Analysis
| BIG Stock | ILS 53,500 300.00 0.56% |
As of the 17th of February 2025, Big Shopping shows the mean deviation of 1.07, and Risk Adjusted Performance of 0.1816. Big Shopping Centers 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.
Big Shopping Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Big, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BigBig |
Big Shopping 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.
Big Shopping Centers Technical Analysis
The output start index for this execution was twenty-one with a total number of output elements of fourty. 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 Big Shopping Centers volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Big Shopping Centers Trend Analysis
Use this graph to draw trend lines for Big Shopping Centers. You can use it to identify possible trend reversals for Big Shopping 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 Big Shopping price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Big Shopping Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Big Shopping Centers applied against its price change over selected period. The best fit line has a slop of 232.84 , which means Big Shopping Centers will continue producing value for investors. It has 122 observation points and a regression sum of squares at 2.05041493188E9, which is the sum of squared deviations for the predicted Big Shopping price change compared to its average price change.About Big Shopping 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 Big Shopping Centers 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 Big Shopping Centers based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Big Shopping Centers price pattern first instead of the macroeconomic environment surrounding Big Shopping Centers. By analyzing Big Shopping'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 Big Shopping'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 Big Shopping specific price patterns or momentum indicators. Please read more on our technical analysis page.
Big Shopping February 17, 2025 Technical Indicators
Most technical analysis of Big 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 Big from various momentum indicators to cycle indicators. When you analyze Big 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1816 | |||
| Market Risk Adjusted Performance | (0.97) | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 0.7867 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 401.44 | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.15 | |||
| Information Ratio | 0.2415 | |||
| Jensen Alpha | 0.3556 | |||
| Total Risk Alpha | 0.3529 | |||
| Sortino Ratio | 0.3017 | |||
| Treynor Ratio | (0.98) | |||
| Maximum Drawdown | 7.9 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 2.96 | |||
| Downside Variance | 1.38 | |||
| Semi Variance | 0.6188 | |||
| Expected Short fall | (1.29) | |||
| Skewness | 0.8624 | |||
| Kurtosis | 1.84 |
Complementary Tools for Big Stock analysis
When running Big Shopping's price analysis, check to measure Big Shopping'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 Big Shopping is operating at the current time. Most of Big Shopping's value examination focuses on studying past and present price action to predict the probability of Big Shopping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Shopping's price. Additionally, you may evaluate how the addition of Big Shopping to your portfolios can decrease your overall portfolio volatility.
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