Logista (UK) Technical Analysis
| 0QWA Stock | 34.21 0.04 0.12% |
As of the 12th of February 2026, Logista secures the Risk Adjusted Performance of 0.1713, mean deviation of 0.8068, and Downside Deviation of 1.23. Logista 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. Please verify Logista semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Logista is priced some-what accurately, providing market reflects its recent price of 34.21 per share.
Logista Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Logista, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LogistaLogista |
Logista '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 Logista'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 Logista.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Logista on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Logista or generate 0.0% return on investment in Logista over 90 days. Logista is related to or competes with AMAG Austria, Virtu Financial,, METALL ZUG, AfriTin Mining, Ameriprise Financial, Cornish Metals, and PNC Financial. Logista is entity of United Kingdom. It is traded as Stock on LSE exchange. More
Logista 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 Logista'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 Logista upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.23 | |||
| Information Ratio | 0.123 | |||
| Maximum Drawdown | 5.72 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.97 |
Logista Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Logista's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Logista's standard deviation. In reality, there are many statistical measures that can use Logista historical prices to predict the future Logista's volatility.| Risk Adjusted Performance | 0.1713 | |||
| Jensen Alpha | 0.2034 | |||
| Total Risk Alpha | 0.0994 | |||
| Sortino Ratio | 0.1163 | |||
| Treynor Ratio | 0.6744 |
Logista February 12, 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 | 0.1713 | |||
| Market Risk Adjusted Performance | 0.6844 | |||
| Mean Deviation | 0.8068 | |||
| Semi Deviation | 0.9189 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 471.29 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.35 | |||
| Information Ratio | 0.123 | |||
| Jensen Alpha | 0.2034 | |||
| Total Risk Alpha | 0.0994 | |||
| Sortino Ratio | 0.1163 | |||
| Treynor Ratio | 0.6744 | |||
| Maximum Drawdown | 5.72 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.97 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 0.8444 | |||
| Expected Short fall | (0.92) | |||
| Skewness | (0.50) | |||
| Kurtosis | 2.99 |
Logista Backtested Returns
Logista appears to be very steady, given 3 months investment horizon. Logista has Sharpe Ratio of 0.22, which conveys that the firm had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Logista, which you can use to evaluate the volatility of the firm. Please exercise Logista's Risk Adjusted Performance of 0.1713, mean deviation of 0.8068, and Downside Deviation of 1.23 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Logista holds a performance score of 17. The company secures a Beta (Market Risk) of 0.35, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Logista's returns are expected to increase less than the market. However, during the bear market, the loss of holding Logista is expected to be smaller as well. Please check Logista's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether Logista's current price movements will revert.
Auto-correlation | 0.32 |
Below average predictability
Logista has below average predictability. Overlapping area represents the amount of predictability between Logista time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 Logista price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Logista price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
Logista 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.
Logista Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Logista across different markets.
About Logista 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 Logista 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 Logista based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Logista price pattern first instead of the macroeconomic environment surrounding Logista. By analyzing Logista'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 Logista'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 Logista specific price patterns or momentum indicators. Please read more on our technical analysis page.
Logista February 12, 2026 Technical Indicators
Most technical analysis of Logista 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 Logista from various momentum indicators to cycle indicators. When you analyze Logista 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 | 0.1713 | |||
| Market Risk Adjusted Performance | 0.6844 | |||
| Mean Deviation | 0.8068 | |||
| Semi Deviation | 0.9189 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 471.29 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.35 | |||
| Information Ratio | 0.123 | |||
| Jensen Alpha | 0.2034 | |||
| Total Risk Alpha | 0.0994 | |||
| Sortino Ratio | 0.1163 | |||
| Treynor Ratio | 0.6744 | |||
| Maximum Drawdown | 5.72 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.97 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 0.8444 | |||
| Expected Short fall | (0.92) | |||
| Skewness | (0.50) | |||
| Kurtosis | 2.99 |
Logista February 12, 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 Logista 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 | 0.13 | ||
| Daily Balance Of Power | 0.01 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 31.94 | ||
| Day Typical Price | 32.69 | ||
| Price Action Indicator | 2.30 | ||
| Market Facilitation Index | 4.55 |
Additional Tools for Logista Stock Analysis
When running Logista's price analysis, check to measure Logista'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 Logista is operating at the current time. Most of Logista's value examination focuses on studying past and present price action to predict the probability of Logista's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logista's price. Additionally, you may evaluate how the addition of Logista to your portfolios can decrease your overall portfolio volatility.