Log In (Brazil) Technical Analysis
| LOGN3 Stock | BRL 32.00 0.20 0.62% |
As of the 7th of February, Log In secures the Risk Adjusted Performance of (0.01), standard deviation of 1.89, and Mean Deviation of 0.9706. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Log In Logstica, as well as the relationship between them. Please verify Log In Logstica standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Log In Logstica Intermodal is priced some-what accurately, providing market reflects its recent price of 32.0 per share.
Log In Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Log, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LogLog |
Log In '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 Log In'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 Log In.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Log In on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Log In Logstica Intermodal or generate 0.0% return on investment in Log In over 90 days. Log In is related to or competes with METISA Metalrgica, Lupatech, Refinaria, Electro Ao, and Recrusul. Log-in Logstica Intermodal S.A. plans, manages, and operates logistics solutions through an intermodal network in Brazil... More
Log In 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 Log In'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 Log In Logstica Intermodal upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 15.41 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.05 |
Log In Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Log In's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Log In's standard deviation. In reality, there are many statistical measures that can use Log In historical prices to predict the future Log In's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | 0.4693 |
Log In 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 | (0.01) | |||
| Market Risk Adjusted Performance | 0.4793 | |||
| Mean Deviation | 0.9706 | |||
| Coefficient Of Variation | (6,485) | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.56 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | 0.4693 | |||
| Maximum Drawdown | 15.41 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.05 | |||
| Skewness | 0.2283 | |||
| Kurtosis | 9.64 |
Log In Logstica Backtested Returns
Log In Logstica has Sharpe Ratio of -0.0366, which conveys that the firm had a -0.0366 % return per unit of risk over the last 3 months. Log In exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Log In's Mean Deviation of 0.9706, risk adjusted performance of (0.01), and Standard Deviation of 1.89 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.0833, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Log In are expected to decrease at a much lower rate. During the bear market, Log In is likely to outperform the market. At this point, Log In Logstica has a negative expected return of -0.0721%. Please make sure to verify Log In's jensen alpha, treynor ratio, and the relationship between the information ratio and total risk alpha , to decide if Log In Logstica performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.23 |
Weak reverse predictability
Log In Logstica Intermodal has weak reverse predictability. Overlapping area represents the amount of predictability between Log In 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 Log In Logstica price movement. The serial correlation of -0.23 indicates that over 23.0% of current Log In price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.29 |
Log In 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.
Log In Logstica 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 Log In Logstica volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Log In 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 Log In Logstica Intermodal 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 Log In Logstica Intermodal based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Log In Logstica price pattern first instead of the macroeconomic environment surrounding Log In Logstica. By analyzing Log In'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 Log In'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 Log In specific price patterns or momentum indicators. Please read more on our technical analysis page.
Log In February 7, 2026 Technical Indicators
Most technical analysis of Log 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 Log from various momentum indicators to cycle indicators. When you analyze Log 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 | 0.4793 | |||
| Mean Deviation | 0.9706 | |||
| Coefficient Of Variation | (6,485) | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.56 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | 0.4693 | |||
| Maximum Drawdown | 15.41 | |||
| Value At Risk | (1.99) | |||
| Potential Upside | 2.05 | |||
| Skewness | 0.2283 | |||
| Kurtosis | 9.64 |
Log In 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 Log 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 | 681.46 | ||
| Daily Balance Of Power | (0.29) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 31.96 | ||
| Day Typical Price | 31.97 | ||
| Price Action Indicator | (0.05) |
Additional Tools for Log Stock Analysis
When running Log In's price analysis, check to measure Log In'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 Log In is operating at the current time. Most of Log In's value examination focuses on studying past and present price action to predict the probability of Log In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Log In's price. Additionally, you may evaluate how the addition of Log In to your portfolios can decrease your overall portfolio volatility.