Arlo Technologies (Germany) Technical Analysis
| 2VI Stock | EUR 10.51 0.08 0.76% |
As of the 4th of February, Arlo Technologies shows the Risk Adjusted Performance of (0.14), standard deviation of 2.81, and Mean Deviation of 2.29. Arlo Technologies 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 Arlo Technologies variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Arlo Technologies is priced correctly, providing market reflects its regular price of 10.51 per share.
Arlo 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 Arlo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ArloArlo |
Arlo Technologies 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Arlo Technologies' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Arlo Technologies.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Arlo Technologies on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Arlo Technologies or generate 0.0% return on investment in Arlo Technologies over 90 days. Arlo Technologies is related to or competes with X-FAB Silicon, SHIN-ETSU CHEMICAL, Eastman Chemical, Sinopec Shanghai, WESTLAKE CHEMICAL, MCEWEN MINING, and Sanyo Chemical. Arlo Technologies, Inc. provides smart connected devices to monitor the environments in real-time with a Wi-Fi or a cell... More
Arlo Technologies Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Arlo Technologies' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Arlo Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 10.34 | |||
| Value At Risk | (6.48) | |||
| Potential Upside | 3.31 |
Arlo Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arlo Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arlo Technologies' standard deviation. In reality, there are many statistical measures that can use Arlo Technologies historical prices to predict the future Arlo Technologies' volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | 2.24 |
Arlo Technologies February 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.14) | |||
| Market Risk Adjusted Performance | 2.25 | |||
| Mean Deviation | 2.29 | |||
| Coefficient Of Variation | (516.15) | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.92 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | 2.24 | |||
| Maximum Drawdown | 10.34 | |||
| Value At Risk | (6.48) | |||
| Potential Upside | 3.31 | |||
| Skewness | (0.77) | |||
| Kurtosis | 0.0891 |
Arlo Technologies Backtested Returns
Arlo Technologies secures Sharpe Ratio (or Efficiency) of -0.19, which signifies that the company had a -0.19 % return per unit of risk over the last 3 months. Arlo Technologies exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arlo Technologies' Risk Adjusted Performance of (0.14), mean deviation of 2.29, and Standard Deviation of 2.81 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Arlo Technologies are expected to decrease at a much lower rate. During the bear market, Arlo Technologies is likely to outperform the market. At this point, Arlo Technologies has a negative expected return of -0.55%. Please make sure to confirm Arlo Technologies' coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Arlo Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.20 |
Weak predictability
Arlo Technologies has weak predictability. Overlapping area represents the amount of predictability between Arlo Technologies time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Arlo Technologies price movement. The serial correlation of 0.2 indicates that over 20.0% of current Arlo Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Arlo 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.
Arlo Technologies 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 Arlo Technologies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Arlo 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 Arlo Technologies 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 Arlo Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Arlo Technologies price pattern first instead of the macroeconomic environment surrounding Arlo Technologies. By analyzing Arlo 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 Arlo 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 Arlo Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Arlo Technologies February 4, 2026 Technical Indicators
Most technical analysis of Arlo 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 Arlo from various momentum indicators to cycle indicators. When you analyze Arlo 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 | (0.14) | |||
| Market Risk Adjusted Performance | 2.25 | |||
| Mean Deviation | 2.29 | |||
| Coefficient Of Variation | (516.15) | |||
| Standard Deviation | 2.81 | |||
| Variance | 7.92 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | 2.24 | |||
| Maximum Drawdown | 10.34 | |||
| Value At Risk | (6.48) | |||
| Potential Upside | 3.31 | |||
| Skewness | (0.77) | |||
| Kurtosis | 0.0891 |
Arlo Technologies February 4, 2026 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 Arlo 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 | 5.26 | ||
| Daily Balance Of Power | (0.57) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 10.58 | ||
| Day Typical Price | 10.56 | ||
| Price Action Indicator | (0.11) | ||
| Market Facilitation Index | 0.0003 |
Complementary Tools for Arlo Stock analysis
When running Arlo Technologies' price analysis, check to measure Arlo 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 Arlo Technologies is operating at the current time. Most of Arlo Technologies' value examination focuses on studying past and present price action to predict the probability of Arlo Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arlo Technologies' price. Additionally, you may evaluate how the addition of Arlo Technologies to your portfolios can decrease your overall portfolio volatility.
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