Sequoia Logstica (Brazil) Price on January 2, 2024

SEQL3 Stock  BRL 3.55  0.08  2.31%   
If you're considering investing in Sequoia Stock, it is important to understand the factors that can impact its price. As of today, the current price of Sequoia Logstica stands at 3.55, as last reported on the 30th of November, with the highest price reaching 3.64 and the lowest price hitting 3.44 during the day. Sequoia Logstica e owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.091, which indicates the firm had a -0.091% return per unit of risk over the last 3 months. Sequoia Logstica e exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sequoia Logstica's Coefficient Of Variation of (1,286), risk adjusted performance of (0.05), and Variance of 51.32 to confirm the risk estimate we provide.
  
Sequoia Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = -0.091

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Estimated Market Risk

 7.14
  actual daily
63
63% of assets are less volatile

Expected Return

 -0.65
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 -0.09
  actual daily
0
Most of other assets perform better
Based on monthly moving average Sequoia Logstica is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Sequoia Logstica by adding Sequoia Logstica to a well-diversified portfolio.

Sequoia Logstica Valuation on January 2, 2024

It is possible to determine the worth of Sequoia Logstica on a given historical date. On January 2, 2024 Sequoia was worth 9.8 at the beginning of the trading date compared to the closed value of 15.8. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Sequoia Logstica stock. Still, in general, we apply an absolute valuation method to find Sequoia Logstica's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Sequoia Logstica where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Sequoia Logstica's related companies.
 Open High Low Close Volume
  0.41    7.60    7.60    7.60    14,013,600  
01/02/2024
  9.80    16.40    9.60    15.80    88,199,700  
  0.85    14.80    14.80    14.80    85,384,900  
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Open Value
9.8
15.8
Closing Value
31.22
Upside

Sequoia Logstica Trading Date Momentum on January 2, 2024

On January 03 2024 Sequoia Logstica e was traded for  14.80  at the closing time. The highest price during the trading period was 14.80  and the lowest recorded bid was listed for  14.80 . The volume for the day was 85.4 M. This history from January 3, 2024 contributed to the next trading day price decline. The trading price change to the next closing price was 6.33% . The trading price change to the current price is 96.20% .

Sequoia Logstica e Fundamentals Correlations and Trends

By evaluating Sequoia Logstica's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Sequoia Logstica's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Sequoia financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Sequoia Logstica Stock history

Sequoia Logstica investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Sequoia is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Sequoia Logstica e will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Sequoia Logstica stock prices may prove useful in developing a viable investing in Sequoia Logstica
Sequoia Logstica e Transportes S.A. provides logistics, warehouse operation management, inland transportation, and urban delivery services. The company was founded in 1996 and is headquartered in Embu das Artes, Brazil. SEQUOIA LOG operates under Integrated Freight Logistics classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 6000 people.

Sequoia Logstica Stock Technical Analysis

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.
A focus of Sequoia Logstica technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Sequoia Logstica trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Sequoia Logstica Period Price Range

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November 30, 2024
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Sequoia Logstica e cannot be verified against its exchange. Please verify the symbol is currently traded on Sao Paulo Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Sequoia Logstica November 30, 2024 Market Strength

Market strength indicators help investors to evaluate how Sequoia Logstica stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sequoia Logstica shares will generate the highest return on investment. By undertsting and applying Sequoia Logstica stock market strength indicators, traders can identify Sequoia Logstica e entry and exit signals to maximize returns

Sequoia Logstica Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Sequoia Logstica's price direction in advance. Along with the technical and fundamental analysis of Sequoia Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Sequoia to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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.