Actelis Networks Stock Technical Analysis

ASNS Stock  USD 1.19  0.02  1.65%   
As of the 22nd of November, Actelis Networks shows the Risk Adjusted Performance of (0.02), standard deviation of 4.2, and Mean Deviation of 3.24. Actelis Networks 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. Please confirm Actelis Networks market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and skewness to decide if Actelis Networks is priced correctly, providing market reflects its regular price of 1.19 per share. Given that Actelis Networks is a hitting penny stock territory we recommend to closely look at its jensen alpha.

Actelis Networks Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Actelis, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Actelis
  
Actelis Networks' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
Actelis Networks 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.
A focus of Actelis Networks technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Actelis Networks trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Actelis Networks Technical Analysis

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The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Actelis Networks volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Actelis Networks Trend Analysis

Use this graph to draw trend lines for Actelis Networks. You can use it to identify possible trend reversals for Actelis Networks 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 Actelis Networks price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Actelis Networks Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Actelis Networks applied against its price change over selected period. The best fit line has a slop of   0.0067  , which may suggest that Actelis Networks market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1.71, which is the sum of squared deviations for the predicted Actelis Networks price change compared to its average price change.

About Actelis Networks 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 Actelis Networks 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 Actelis Networks based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Actelis Networks price pattern first instead of the macroeconomic environment surrounding Actelis Networks. By analyzing Actelis Networks'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 Actelis Networks'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 Actelis Networks specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2021 2022 2023 2024 (projected)
Payables Turnover2.382.652.091.76
Days Of Inventory On Hand71.5691.15248.78261.22

Actelis Networks November 22, 2024 Technical Indicators

Most technical analysis of Actelis 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 Actelis from various momentum indicators to cycle indicators. When you analyze Actelis 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.

Additional Tools for Actelis Stock Analysis

When running Actelis Networks' price analysis, check to measure Actelis Networks' 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 Actelis Networks is operating at the current time. Most of Actelis Networks' value examination focuses on studying past and present price action to predict the probability of Actelis Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Actelis Networks' price. Additionally, you may evaluate how the addition of Actelis Networks to your portfolios can decrease your overall portfolio volatility.