Serve Robotics Common Stock Technical Analysis
| SERV Stock | USD 5.69 0.38 7.16% |
As of the 15th of April 2025, Serve Robotics has the Coefficient Of Variation of (669.69), variance of 88.48, and Risk Adjusted Performance of (0.23). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Serve Robotics Common, as well as the relationship between them. Please validate Serve Robotics Common risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and kurtosis to decide if Serve Robotics is priced more or less accurately, providing market reflects its prevalent price of 5.69 per share. Given that Serve Robotics Common has information ratio of (0.14), we advise you to double-check Serve Robotics Common's current market performance to make sure the company can sustain itself at a future point.
Serve Robotics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Serve, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ServeServe |
Serve Robotics Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 16.0 | Strong Buy | 4 | Odds |
Most Serve analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Serve stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Serve Robotics Common, talking to its executives and customers, or listening to Serve conference calls.
Serve Robotics 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.
Serve Robotics Common Technical Analysis
The output start index for this execution was sixty with a total number of output elements of 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 Serve Robotics Common volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Serve Robotics Common Trend Analysis
Use this graph to draw trend lines for Serve Robotics Common. You can use it to identify possible trend reversals for Serve Robotics 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 Serve Robotics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Serve Robotics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Serve Robotics Common applied against its price change over selected period. The best fit line has a slop of 0.27 , which may suggest that Serve Robotics Common market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2700.33, which is the sum of squared deviations for the predicted Serve Robotics price change compared to its average price change.About Serve Robotics 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 Serve Robotics Common 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 Serve Robotics Common based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Serve Robotics Common price pattern first instead of the macroeconomic environment surrounding Serve Robotics Common. By analyzing Serve Robotics'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 Serve Robotics'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 Serve Robotics specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 | 2025 (projected) | |
| Payables Turnover | 7.09 | 0.84 | 0.39 | 0.37 |
| Days Of Inventory On Hand | 196.5 | 163.35 | 59.89 | 56.89 |
Serve Robotics April 15, 2025 Technical Indicators
Most technical analysis of Serve 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 Serve from various momentum indicators to cycle indicators. When you analyze Serve 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 | (0.23) | |||
| Market Risk Adjusted Performance | 3.85 | |||
| Mean Deviation | 7.11 | |||
| Coefficient Of Variation | (669.69) | |||
| Standard Deviation | 9.41 | |||
| Variance | 88.48 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (1.44) | |||
| Total Risk Alpha | (0.97) | |||
| Treynor Ratio | 3.84 | |||
| Maximum Drawdown | 56.69 | |||
| Value At Risk | (13.97) | |||
| Potential Upside | 13.11 | |||
| Skewness | (0.80) | |||
| Kurtosis | 3.08 |
Serve Robotics April 15, 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 Serve 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 | 0.15 | ||
| Daily Balance Of Power | 0.45 | ||
| Rate Of Daily Change | 1.07 | ||
| Day Median Price | 5.37 | ||
| Day Typical Price | 5.48 | ||
| Price Action Indicator | 0.51 | ||
| Market Facilitation Index | 0.84 |
Additional Tools for Serve Stock Analysis
When running Serve Robotics' price analysis, check to measure Serve Robotics' 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 Serve Robotics is operating at the current time. Most of Serve Robotics' value examination focuses on studying past and present price action to predict the probability of Serve Robotics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Serve Robotics' price. Additionally, you may evaluate how the addition of Serve Robotics to your portfolios can decrease your overall portfolio volatility.