Logistic Properties Of Stock Technical Analysis
| LPA Stock | 2.87 0.12 4.01% |
As of the 29th of January, Logistic Properties secures the Standard Deviation of 4.99, mean deviation of 3.55, and Risk Adjusted Performance of (0.01). In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Logistic Properties, as well as the relationship between them.
Logistic Properties Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Logistic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LogisticLogistic Properties' 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.Is Stock space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Logistic Properties. Expected growth trajectory for Logistic significantly influences the price investors are willing to assign. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Logistic Properties assessment requires weighing all these inputs, though not all factors influence outcomes equally.
The market value of Logistic Properties is measured differently than its book value, which is the value of Logistic that is recorded on the company's balance sheet. Investors also form their own opinion of Logistic Properties' value that differs from its market value or its book value, called intrinsic value, which is Logistic Properties' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Logistic Properties' market value can be influenced by many factors that don't directly affect Logistic Properties' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Logistic Properties' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Logistic Properties represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Logistic Properties' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Logistic Properties '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 Logistic Properties' 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 Logistic Properties.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Logistic Properties on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Logistic Properties of or generate 0.0% return on investment in Logistic Properties over 90 days. Logistic Properties is related to or competes with Cherry Hill, Rithm Property, Comstock Mining, AMREP, Altisource Portfolio, Sunrise Realty, and Star Holdings. More
Logistic Properties 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 Logistic Properties' 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 Logistic Properties of upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 23.65 | |||
| Value At Risk | (8.39) | |||
| Potential Upside | 7.04 |
Logistic Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Logistic Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Logistic Properties' standard deviation. In reality, there are many statistical measures that can use Logistic Properties historical prices to predict the future Logistic Properties' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.10) |
Logistic Properties January 29, 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 | (0.09) | |||
| Mean Deviation | 3.55 | |||
| Coefficient Of Variation | (3,372) | |||
| Standard Deviation | 4.99 | |||
| Variance | 24.88 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.10) | |||
| Maximum Drawdown | 23.65 | |||
| Value At Risk | (8.39) | |||
| Potential Upside | 7.04 | |||
| Skewness | (0.34) | |||
| Kurtosis | 2.77 |
Logistic Properties Backtested Returns
Logistic Properties has Sharpe Ratio of -0.0297, which conveys that the firm had a -0.0297 % return per unit of risk over the last 3 months. Logistic Properties exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Logistic Properties' Standard Deviation of 4.99, risk adjusted performance of (0.01), and Mean Deviation of 3.55 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.58, which conveys 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, Logistic Properties will likely underperform. At this point, Logistic Properties has a negative expected return of -0.15%. Please make sure to verify Logistic Properties' total risk alpha, kurtosis, price action indicator, as well as the relationship between the value at risk and rate of daily change , to decide if Logistic Properties performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.24 |
Weak reverse predictability
Logistic Properties of has weak reverse predictability. Overlapping area represents the amount of predictability between Logistic Properties time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 Logistic Properties price movement. The serial correlation of -0.24 indicates that over 24.0% of current Logistic Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Logistic Properties 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.
Logistic Properties 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 Logistic Properties volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Logistic Properties 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 Logistic Properties of 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 Logistic Properties of based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Logistic Properties price pattern first instead of the macroeconomic environment surrounding Logistic Properties. By analyzing Logistic Properties'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 Logistic Properties'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 Logistic Properties specific price patterns or momentum indicators. Please read more on our technical analysis page.
Logistic Properties January 29, 2026 Technical Indicators
Most technical analysis of Logistic 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 Logistic from various momentum indicators to cycle indicators. When you analyze Logistic 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 | (0.09) | |||
| Mean Deviation | 3.55 | |||
| Coefficient Of Variation | (3,372) | |||
| Standard Deviation | 4.99 | |||
| Variance | 24.88 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.10) | |||
| Maximum Drawdown | 23.65 | |||
| Value At Risk | (8.39) | |||
| Potential Upside | 7.04 | |||
| Skewness | (0.34) | |||
| Kurtosis | 2.77 |
Logistic Properties January 29, 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 Logistic 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 | 207.84 | ||
| Daily Balance Of Power | (1.71) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 2.86 | ||
| Day Typical Price | 2.86 | ||
| Price Action Indicator | (0.04) |
Complementary Tools for Logistic Stock analysis
When running Logistic Properties' price analysis, check to measure Logistic Properties' 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 Logistic Properties is operating at the current time. Most of Logistic Properties' value examination focuses on studying past and present price action to predict the probability of Logistic Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logistic Properties' price. Additionally, you may evaluate how the addition of Logistic Properties to your portfolios can decrease your overall portfolio volatility.
| Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format |