Amsterdam Commodities (Netherlands) Technical Analysis
| ACOMO Stock | EUR 21.85 0.25 1.13% |
As of the 23rd of July, Amsterdam Commodities shows the Mean Deviation of 0.8324, risk adjusted performance of 0.0695, and Downside Deviation of 1.01. Amsterdam Commodities 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.
Amsterdam Commodities Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Amsterdam, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AmsterdamAmsterdam |
Amsterdam Commodities 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.
Amsterdam Commodities 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 Amsterdam Commodities volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Amsterdam Commodities Trend Analysis
Use this graph to draw trend lines for Amsterdam Commodities NV. You can use it to identify possible trend reversals for Amsterdam Commodities 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 Amsterdam Commodities price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Amsterdam Commodities Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Amsterdam Commodities NV applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Amsterdam Commodities NV will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.37, which is the sum of squared deviations for the predicted Amsterdam Commodities price change compared to its average price change.About Amsterdam Commodities 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 Amsterdam Commodities NV 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 Amsterdam Commodities NV based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Amsterdam Commodities price pattern first instead of the macroeconomic environment surrounding Amsterdam Commodities. By analyzing Amsterdam Commodities'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 Amsterdam Commodities'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 Amsterdam Commodities specific price patterns or momentum indicators. Please read more on our technical analysis page.
Amsterdam Commodities July 23, 2025 Technical Indicators
Most technical analysis of Amsterdam 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 Amsterdam from various momentum indicators to cycle indicators. When you analyze Amsterdam 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 | 0.0695 | |||
| Market Risk Adjusted Performance | 0.2258 | |||
| Mean Deviation | 0.8324 | |||
| Semi Deviation | 0.7953 | |||
| Downside Deviation | 1.01 | |||
| Coefficient Of Variation | 1350.09 | |||
| Standard Deviation | 1.38 | |||
| Variance | 1.89 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | 0.0043 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.2158 | |||
| Maximum Drawdown | 9.9 | |||
| Value At Risk | (1.55) | |||
| Potential Upside | 2.02 | |||
| Downside Variance | 1.02 | |||
| Semi Variance | 0.6324 | |||
| Expected Short fall | (1.09) | |||
| Skewness | 3.06 | |||
| Kurtosis | 16.14 |
Amsterdam Commodities July 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 Amsterdam 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 | (0.63) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 21.95 | ||
| Day Typical Price | 21.92 | ||
| Price Action Indicator | (0.22) | ||
| Market Facilitation Index | 0.40 |
Complementary Tools for Amsterdam Stock analysis
When running Amsterdam Commodities' price analysis, check to measure Amsterdam Commodities' 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 Amsterdam Commodities is operating at the current time. Most of Amsterdam Commodities' value examination focuses on studying past and present price action to predict the probability of Amsterdam Commodities' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Amsterdam Commodities' price. Additionally, you may evaluate how the addition of Amsterdam Commodities to your portfolios can decrease your overall portfolio volatility.
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