High Co (France) Technical Analysis
| HCO Stock | EUR 3.12 0.02 0.64% |
As of the 23rd of March, High Co retains the Risk Adjusted Performance of 0.1691, downside deviation of 1.3, and Market Risk Adjusted Performance of 1.69. High Co technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
High Co Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as High, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HighHigh |
High Co 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.
High Co SA Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 High Co SA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
High Co SA Trend Analysis
Use this graph to draw trend lines for High Co SA. You can use it to identify possible trend reversals for High Co 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 High Co price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.High Co Best Fit Change Line
The following chart estimates an ordinary least squares regression model for High Co SA applied against its price change over selected period. The best fit line has a slop of 0.01 , which means High Co SA will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.53, which is the sum of squared deviations for the predicted High Co price change compared to its average price change.About High Co 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 High Co SA 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 High Co SA based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on High Co SA price pattern first instead of the macroeconomic environment surrounding High Co SA. By analyzing High Co'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 High Co'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 High Co specific price patterns or momentum indicators. Please read more on our technical analysis page.
High Co March 23, 2025 Technical Indicators
Most technical analysis of High 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 High from various momentum indicators to cycle indicators. When you analyze High 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 | 0.1691 | |||
| Market Risk Adjusted Performance | 1.69 | |||
| Mean Deviation | 1.14 | |||
| Semi Deviation | 0.4924 | |||
| Downside Deviation | 1.3 | |||
| Coefficient Of Variation | 544.26 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.29 | |||
| Information Ratio | 0.2087 | |||
| Jensen Alpha | 0.4291 | |||
| Total Risk Alpha | 0.5872 | |||
| Sortino Ratio | 0.3701 | |||
| Treynor Ratio | 1.68 | |||
| Maximum Drawdown | 7.99 | |||
| Value At Risk | (1.55) | |||
| Potential Upside | 2.38 | |||
| Downside Variance | 1.68 | |||
| Semi Variance | 0.2425 | |||
| Expected Short fall | (1.98) | |||
| Skewness | 4.86 | |||
| Kurtosis | 31.72 |
High Co March 23, 2025 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 High 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.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | (0.29) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 3.15 | ||
| Day Typical Price | 3.14 | ||
| Price Action Indicator | (0.03) | ||
| Market Facilitation Index | 0.07 |
Complementary Tools for High Stock analysis
When running High Co's price analysis, check to measure High Co'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 High Co is operating at the current time. Most of High Co's value examination focuses on studying past and present price action to predict the probability of High Co's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move High Co's price. Additionally, you may evaluate how the addition of High Co to your portfolios can decrease your overall portfolio volatility.
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