Tachlit Indices (Israel) Technical Analysis
TCH-F134 | 34,870 10.00 0.03% |
Tachlit Indices Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Tachlit, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TachlitTachlit |
Tachlit Indices technical etf 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, etf market cycles, or different charting patterns.
Tachlit Indices Mutual Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Tachlit Indices Mutual volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Tachlit Indices Mutual Trend Analysis
Use this graph to draw trend lines for Tachlit Indices Mutual. You can use it to identify possible trend reversals for Tachlit Indices 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 Tachlit Indices price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Tachlit Indices Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Tachlit Indices Mutual applied against its price change over selected period. The best fit line has a slop of 45.82 , which means Tachlit Indices Mutual will continue producing value for investors. It has 122 observation points and a regression sum of squares at 7.939357886E7, which is the sum of squared deviations for the predicted Tachlit Indices price change compared to its average price change.Tachlit Indices April 19, 2024 Technical Indicators
Most technical analysis of Tachlit 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 Tachlit from various momentum indicators to cycle indicators. When you analyze Tachlit 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.
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Math Operators | ||
Math Transform | ||
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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.09 | |||
Market Risk Adjusted Performance | 7.0 | |||
Mean Deviation | 0.6516 | |||
Semi Deviation | 0.4802 | |||
Downside Deviation | 0.6553 | |||
Coefficient Of Variation | 707.92 | |||
Standard Deviation | 0.843 | |||
Variance | 0.7106 | |||
Information Ratio | 0.0599 | |||
Jensen Alpha | 0.1082 | |||
Total Risk Alpha | 0.0292 | |||
Sortino Ratio | 0.077 | |||
Treynor Ratio | 6.99 | |||
Maximum Drawdown | 3.89 | |||
Value At Risk | (1.11) | |||
Potential Upside | 1.54 | |||
Downside Variance | 0.4294 | |||
Semi Variance | 0.2305 | |||
Expected Short fall | (0.85) | |||
Skewness | 0.7534 | |||
Kurtosis | 0.7808 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in census. Note that the Tachlit Indices Mutual information on this page should be used as a complementary analysis to other Tachlit Indices' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.