CLEANTECH LITH (Germany) Technical Analysis
T2N Stock | 0.21 0.00 0.00% |
CLEANTECH LITH Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CLEANTECH, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CLEANTECHCLEANTECH |
CLEANTECH LITH 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.
CLEANTECH LITH LS 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 CLEANTECH LITH LS volatility. High ATR values indicate high volatility, and low values indicate low volatility.
CLEANTECH LITH LS Trend Analysis
Use this graph to draw trend lines for CLEANTECH LITH LS. You can use it to identify possible trend reversals for CLEANTECH LITH 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 CLEANTECH LITH price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.CLEANTECH LITH Best Fit Change Line
The following chart estimates an ordinary least squares regression model for CLEANTECH LITH LS applied against its price change over selected period. The best fit line has a slop of 0.0022 , which may suggest that CLEANTECH LITH LS market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.18, which is the sum of squared deviations for the predicted CLEANTECH LITH price change compared to its average price change.CLEANTECH LITH December 18, 2024 Technical Indicators
Most technical analysis of CLEANTECH 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 CLEANTECH from various momentum indicators to cycle indicators. When you analyze CLEANTECH 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 | (0.03) | |||
Market Risk Adjusted Performance | (0.15) | |||
Mean Deviation | 4.65 | |||
Coefficient Of Variation | (1,779) | |||
Standard Deviation | 7.99 | |||
Variance | 63.79 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | (0.62) | |||
Total Risk Alpha | (1.09) | |||
Treynor Ratio | (0.16) | |||
Maximum Drawdown | 42.39 | |||
Value At Risk | (16.00) | |||
Potential Upside | 14.29 | |||
Skewness | (0.08) | |||
Kurtosis | 2.87 |
Additional Tools for CLEANTECH Stock Analysis
When running CLEANTECH LITH's price analysis, check to measure CLEANTECH LITH'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 CLEANTECH LITH is operating at the current time. Most of CLEANTECH LITH's value examination focuses on studying past and present price action to predict the probability of CLEANTECH LITH's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CLEANTECH LITH's price. Additionally, you may evaluate how the addition of CLEANTECH LITH to your portfolios can decrease your overall portfolio volatility.