Sequoia Logstica (Brazil) Technical Analysis
| SEQL3 Stock | BRL 0.56 0.05 8.20% |
As of the 14th of February 2026, Sequoia Logstica has the Risk Adjusted Performance of (0.38), coefficient of variation of (210.12), and Variance of 54.51. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sequoia Logstica e, as well as the relationship between them. Please validate Sequoia Logstica e coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Sequoia Logstica is priced more or less accurately, providing market reflects its prevalent price of 0.56 per share.
Sequoia Logstica Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sequoia, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SequoiaSequoia |
Sequoia Logstica '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 Sequoia Logstica'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 Sequoia Logstica.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Sequoia Logstica on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Sequoia Logstica e or generate 0.0% return on investment in Sequoia Logstica over 90 days. Sequoia Logstica is related to or competes with Inepar SA, Inepar SA, Recrusul, Recrusul, Trevisa Investimentos, Infracommerce CXaaS, and HAGA SA. Sequoia Logstica e Transportes S.A. provides logistics, warehouse operation management, inland transportation, and urban... More
Sequoia Logstica 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 Sequoia Logstica'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 Sequoia Logstica e upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.49) | |||
| Maximum Drawdown | 51.88 | |||
| Value At Risk | (17.44) | |||
| Potential Upside | 6.05 |
Sequoia Logstica Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sequoia Logstica's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sequoia Logstica's standard deviation. In reality, there are many statistical measures that can use Sequoia Logstica historical prices to predict the future Sequoia Logstica's volatility.| Risk Adjusted Performance | (0.38) | |||
| Jensen Alpha | (3.47) | |||
| Total Risk Alpha | (4.07) | |||
| Treynor Ratio | 3.78 |
Sequoia Logstica February 14, 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 | (0.38) | |||
| Market Risk Adjusted Performance | 3.79 | |||
| Mean Deviation | 4.93 | |||
| Coefficient Of Variation | (210.12) | |||
| Standard Deviation | 7.38 | |||
| Variance | 54.51 | |||
| Information Ratio | (0.49) | |||
| Jensen Alpha | (3.47) | |||
| Total Risk Alpha | (4.07) | |||
| Treynor Ratio | 3.78 | |||
| Maximum Drawdown | 51.88 | |||
| Value At Risk | (17.44) | |||
| Potential Upside | 6.05 | |||
| Skewness | 0.112 | |||
| Kurtosis | 4.95 |
Sequoia Logstica e Backtested Returns
Sequoia Logstica e owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.53, which indicates the firm had a -0.53 % return per unit of risk over the last 3 months. Sequoia Logstica e exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sequoia Logstica's Variance of 54.51, risk adjusted performance of (0.38), and Coefficient Of Variation of (210.12) to confirm the risk estimate we provide. The entity has a beta of -0.93, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Sequoia Logstica are expected to decrease slowly. On the other hand, during market turmoil, Sequoia Logstica is expected to outperform it slightly. At this point, Sequoia Logstica e has a negative expected return of -3.89%. Please make sure to validate Sequoia Logstica's maximum drawdown, skewness, accumulation distribution, as well as the relationship between the potential upside and kurtosis , to decide if Sequoia Logstica e performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.75 |
Good predictability
Sequoia Logstica e has good predictability. Overlapping area represents the amount of predictability between Sequoia Logstica time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Sequoia Logstica e price movement. The serial correlation of 0.75 indicates that around 75.0% of current Sequoia Logstica price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
Sequoia Logstica 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.
Sequoia Logstica e 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 Sequoia Logstica e across different markets.
About Sequoia Logstica 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 Sequoia Logstica e 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 Sequoia Logstica e based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sequoia Logstica e price pattern first instead of the macroeconomic environment surrounding Sequoia Logstica e. By analyzing Sequoia Logstica'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 Sequoia Logstica'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 Sequoia Logstica specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sequoia Logstica February 14, 2026 Technical Indicators
Most technical analysis of Sequoia 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 Sequoia from various momentum indicators to cycle indicators. When you analyze Sequoia 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 | (0.38) | |||
| Market Risk Adjusted Performance | 3.79 | |||
| Mean Deviation | 4.93 | |||
| Coefficient Of Variation | (210.12) | |||
| Standard Deviation | 7.38 | |||
| Variance | 54.51 | |||
| Information Ratio | (0.49) | |||
| Jensen Alpha | (3.47) | |||
| Total Risk Alpha | (4.07) | |||
| Treynor Ratio | 3.78 | |||
| Maximum Drawdown | 51.88 | |||
| Value At Risk | (17.44) | |||
| Potential Upside | 6.05 | |||
| Skewness | 0.112 | |||
| Kurtosis | 4.95 |
Sequoia Logstica February 14, 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 Sequoia 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 | 75,278 | ||
| Daily Balance Of Power | (0.71) | ||
| Rate Of Daily Change | 0.92 | ||
| Day Median Price | 0.60 | ||
| Day Typical Price | 0.58 | ||
| Price Action Indicator | (0.06) |
Additional Tools for Sequoia Stock Analysis
When running Sequoia Logstica's price analysis, check to measure Sequoia Logstica'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 Sequoia Logstica is operating at the current time. Most of Sequoia Logstica's value examination focuses on studying past and present price action to predict the probability of Sequoia Logstica's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sequoia Logstica's price. Additionally, you may evaluate how the addition of Sequoia Logstica to your portfolios can decrease your overall portfolio volatility.