Learning Technologies (UK) Technical Analysis
| LTG Stock | 98.10 0.10 0.10% |
As of the 4th of January, Learning Technologies secures the Downside Deviation of 1.01, mean deviation of 0.792, and Risk Adjusted Performance of 0.0524. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Learning Technologies, as well as the relationship between them. Please verify Learning Technologies variance, maximum drawdown, and the relationship between the coefficient of variation and jensen alpha to decide if Learning Technologies Group is priced some-what accurately, providing market reflects its recent price of 98.1 per share.
Learning Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Learning, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LearningLearning |
Learning Technologies 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.
Learning Technologies Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Learning Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Learning Technologies Trend Analysis
Use this graph to draw trend lines for Learning Technologies Group. You can use it to identify possible trend reversals for Learning Technologies 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 Learning Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Learning Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Learning Technologies Group applied against its price change over selected period. The best fit line has a slop of 0.14 , which means Learning Technologies Group will continue generating value for investors. It has 122 observation points and a regression sum of squares at 751.39, which is the sum of squared deviations for the predicted Learning Technologies price change compared to its average price change.About Learning Technologies 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 Learning Technologies Group 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 Learning Technologies Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Learning Technologies price pattern first instead of the macroeconomic environment surrounding Learning Technologies. By analyzing Learning Technologies'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 Learning Technologies'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 Learning Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Learning Technologies January 4, 2025 Technical Indicators
Most technical analysis of Learning 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 Learning from various momentum indicators to cycle indicators. When you analyze Learning 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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| Volume Indicators |
| Risk Adjusted Performance | 0.0524 | |||
| Market Risk Adjusted Performance | (0.20) | |||
| Mean Deviation | 0.792 | |||
| Semi Deviation | 0.8183 | |||
| Downside Deviation | 1.01 | |||
| Coefficient Of Variation | 1669.5 | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.74 | |||
| Information Ratio | 0.043 | |||
| Jensen Alpha | 0.073 | |||
| Total Risk Alpha | 0.0489 | |||
| Sortino Ratio | 0.0561 | |||
| Treynor Ratio | (0.21) | |||
| Maximum Drawdown | 7.47 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 1.87 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.6695 | |||
| Expected Short fall | (1.15) | |||
| Skewness | 2.42 | |||
| Kurtosis | 12.21 |
Complementary Tools for Learning Stock analysis
When running Learning Technologies' price analysis, check to measure Learning Technologies' 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 Learning Technologies is operating at the current time. Most of Learning Technologies' value examination focuses on studying past and present price action to predict the probability of Learning Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Learning Technologies' price. Additionally, you may evaluate how the addition of Learning Technologies to your portfolios can decrease your overall portfolio volatility.
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