Mobile Infrastructure Stock Technical Analysis
| BEEP Stock | 3.11 0.08 2.64% |
As of the 7th of February, Mobile Infrastructure secures the Standard Deviation of 4.04, mean deviation of 2.96, and insignificant Risk Adjusted Performance. Mobile Infrastructure technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices.
Mobile Infrastructure Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mobile, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MobileMobile Infrastructure's 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.Mobile Infrastructure Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 6.17 | Strong Buy | 3 | Odds |
Most Mobile 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 Mobile stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Mobile Infrastructure, talking to its executives and customers, or listening to Mobile conference calls.
Can Transportation Infrastructure industry sustain growth momentum? Does Mobile have expansion opportunities? Factors like these will boost the valuation of Mobile Infrastructure. Projected growth potential of Mobile fundamentally drives upward valuation adjustments. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Mobile Infrastructure demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Earnings Share (0.39) | Revenue Per Share | Quarterly Revenue Growth (0.07) | Return On Assets | Return On Equity |
Investors evaluate Mobile Infrastructure using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Mobile Infrastructure's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Mobile Infrastructure's market price to deviate significantly from intrinsic value.
It's important to distinguish between Mobile Infrastructure's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Mobile Infrastructure should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Mobile Infrastructure's market price signifies the transaction level at which participants voluntarily complete trades.
Mobile Infrastructure '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 Mobile Infrastructure's 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 Mobile Infrastructure.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Mobile Infrastructure on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Mobile Infrastructure or generate 0.0% return on investment in Mobile Infrastructure over 90 days. Mobile Infrastructure is related to or competes with Comstock Holding, Orion Office, Alset Ehome, Franklin Street, AMREP, Sunrise Realty, and Granite Point. Mobile Infrastructure is entity of United States More
Mobile Infrastructure 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 Mobile Infrastructure's 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 Mobile Infrastructure upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.17 |
Mobile Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mobile Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mobile Infrastructure's standard deviation. In reality, there are many statistical measures that can use Mobile Infrastructure historical prices to predict the future Mobile Infrastructure's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mobile Infrastructure's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Mobile Infrastructure February 7, 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) | |||
| Market Risk Adjusted Performance | (0.09) | |||
| Mean Deviation | 2.96 | |||
| Coefficient Of Variation | (6,325) | |||
| Standard Deviation | 4.04 | |||
| Variance | 16.28 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.1) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.17 | |||
| Skewness | 0.1709 | |||
| Kurtosis | 0.7485 |
Mobile Infrastructure Backtested Returns
Currently, Mobile Infrastructure is unstable. Mobile Infrastructure has Sharpe Ratio of close to zero, which conveys that the firm had a close to zero % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Mobile Infrastructure, which you can use to evaluate the volatility of the firm. Please verify Mobile Infrastructure's Mean Deviation of 2.96, insignificant risk adjusted performance, and Standard Deviation of 4.04 to check out if the risk estimate we provide is consistent with the expected return of 0.001%. The company secures a Beta (Market Risk) of 0.77, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mobile Infrastructure's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mobile Infrastructure is expected to be smaller as well. Mobile Infrastructure right now secures a risk of 4.12%. Please verify Mobile Infrastructure standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if Mobile Infrastructure will be following its current price movements.
Auto-correlation | -0.32 |
Poor reverse predictability
Mobile Infrastructure has poor reverse predictability. Overlapping area represents the amount of predictability between Mobile Infrastructure time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Mobile Infrastructure price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Mobile Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Mobile Infrastructure 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.
Mobile Infrastructure Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Mobile Infrastructure volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Mobile Infrastructure 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 Mobile Infrastructure 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 Mobile Infrastructure based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Mobile Infrastructure price pattern first instead of the macroeconomic environment surrounding Mobile Infrastructure. By analyzing Mobile Infrastructure'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 Mobile Infrastructure'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 Mobile Infrastructure specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Dividend Yield | 0.0606 | 0.0313 | Price To Sales Ratio | 4.48 | 4.26 |
Mobile Infrastructure February 7, 2026 Technical Indicators
Most technical analysis of Mobile 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 Mobile from various momentum indicators to cycle indicators. When you analyze Mobile 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) | |||
| Market Risk Adjusted Performance | (0.09) | |||
| Mean Deviation | 2.96 | |||
| Coefficient Of Variation | (6,325) | |||
| Standard Deviation | 4.04 | |||
| Variance | 16.28 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.1) | |||
| Maximum Drawdown | 18.98 | |||
| Value At Risk | (7.25) | |||
| Potential Upside | 7.17 | |||
| Skewness | 0.1709 | |||
| Kurtosis | 0.7485 |
Mobile Infrastructure February 7, 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 Mobile 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 | 0.07 | ||
| Daily Balance Of Power | 0.33 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 3.12 | ||
| Day Typical Price | 3.12 | ||
| Price Action Indicator | 0.03 | ||
| Market Facilitation Index | 0.24 |
Additional Tools for Mobile Stock Analysis
When running Mobile Infrastructure's price analysis, check to measure Mobile Infrastructure's 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 Mobile Infrastructure is operating at the current time. Most of Mobile Infrastructure's value examination focuses on studying past and present price action to predict the probability of Mobile Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mobile Infrastructure's price. Additionally, you may evaluate how the addition of Mobile Infrastructure to your portfolios can decrease your overall portfolio volatility.