Serve Robotics Common Stock Technical Analysis
| SERV Stock | USD 10.43 0.87 7.70% |
As of the 31st of January, Serve Robotics has the Coefficient Of Variation of (4,272), variance of 34.91, and Risk Adjusted Performance of (0.01). 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 10.43 per share. Given that Serve Robotics Common has information ratio of (0.03), 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 Robotics' 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.Serve Robotics Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 18.86 | Strong Buy | 5 | 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.
What growth prospects exist in Hotels, Restaurants & Leisure sector? Can Serve capture new markets? Factors like these will boost the valuation of Serve Robotics. If investors know Serve will grow in the future, the company's valuation will be higher. Valuation analysis balances hard financial data with qualitative growth assessments. While each Serve Robotics valuation metric matters, prioritizing which indicators carry greater predictive weight remains essential.
Earnings Share (1.44) | Revenue Per Share | Quarterly Revenue Growth 2.095 | Return On Assets | Return On Equity |
Understanding Serve Robotics Common requires distinguishing between market price and book value, where the latter reflects Serve's accounting equity. The concept of intrinsic value—what Serve Robotics' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investment professionals apply varied valuation frameworks to compute inherent worth and acquire positions when market prices trade at discounts to calculated value. Market sentiment, economic cycles, and investor behavior can push Serve Robotics' price substantially above or below its fundamental value.
Please note, there is a significant difference between Serve Robotics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Serve Robotics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Serve Robotics' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Serve Robotics '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 Serve Robotics' 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 Serve Robotics.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Serve Robotics on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Serve Robotics Common or generate 0.0% return on investment in Serve Robotics over 90 days. Serve Robotics is related to or competes with Richtech Robotics, Volaris, Sky Harbour, Graham, Matthews International, Kornit Digital, and Great Lakes. Terminix Global Holdings, Inc. provides residential and commercial termite and pest control, restoration, and cleaning s... More
Serve Robotics 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 Serve Robotics' 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 Serve Robotics Common upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 28.21 | |||
| Value At Risk | (9.56) | |||
| Potential Upside | 10.62 |
Serve Robotics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Serve Robotics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Serve Robotics' standard deviation. In reality, there are many statistical measures that can use Serve Robotics historical prices to predict the future Serve Robotics' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | (0.05) |
Serve Robotics January 31, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 4.42 | |||
| Coefficient Of Variation | (4,272) | |||
| Standard Deviation | 5.91 | |||
| Variance | 34.91 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 28.21 | |||
| Value At Risk | (9.56) | |||
| Potential Upside | 10.62 | |||
| Skewness | 0.7042 | |||
| Kurtosis | 0.9475 |
Serve Robotics Common Backtested Returns
Serve Robotics Common owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0275, which indicates the firm had a -0.0275 % return per unit of risk over the last 3 months. Serve Robotics Common exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Serve Robotics' Coefficient Of Variation of (4,272), risk adjusted performance of (0.01), and Variance of 34.91 to confirm the risk estimate we provide. The entity has a beta of 3.26, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Serve Robotics will likely underperform. At this point, Serve Robotics Common has a negative expected return of -0.17%. Please make sure to validate Serve Robotics' maximum drawdown, daily balance of power, as well as the relationship between the Daily Balance Of Power and relative strength index , to decide if Serve Robotics Common performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.24 |
Weak reverse predictability
Serve Robotics Common has weak reverse predictability. Overlapping area represents the amount of predictability between Serve Robotics time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Serve Robotics Common price movement. The serial correlation of -0.24 indicates that over 24.0% of current Serve Robotics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 3.18 |
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 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 Serve Robotics Common volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Payables Turnover | 0.84 | 0.39 | 0.44 | 0.42 | Days Of Inventory On Hand | 163.35 | 59.89 | 68.87 | 65.43 |
Serve Robotics January 31, 2026 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 4.42 | |||
| Coefficient Of Variation | (4,272) | |||
| Standard Deviation | 5.91 | |||
| Variance | 34.91 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.57) | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 28.21 | |||
| Value At Risk | (9.56) | |||
| Potential Upside | 10.62 | |||
| Skewness | 0.7042 | |||
| Kurtosis | 0.9475 |
Serve Robotics January 31, 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 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 | 517,940 | ||
| Daily Balance Of Power | (0.93) | ||
| Rate Of Daily Change | 0.92 | ||
| Day Median Price | 10.85 | ||
| Day Typical Price | 10.71 | ||
| Price Action Indicator | (0.86) |
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.