Lexibook Linguistic (France) Price History

Lexibook Linguistic Stock Price History Chart

Lexibook Linguistic November 28, 2024 Stock Price Synopsis

Various analyses of Lexibook Linguistic's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Lexibook Stock. It can be used to describe the percentage change in the price of Lexibook Linguistic from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Lexibook Stock. When benchmark price declines in a down market, there may be an uptick in Lexibook Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Lexibook Linguistic intraday prices and daily technical indicators to check the level of noise trading in Lexibook Stock and then apply it to test your longer-term investment strategies against Lexibook.

Lexibook Stock Price History Data

The price series of Lexibook Linguistic for the period between Fri, Aug 30, 2024 and Thu, Nov 28, 2024 has a statistical range of 0.1 with a coefficient of variation of 0.74. The prices are distributed with arithmetic mean of 3.94. The median price for the last 90 days is 3.93. The company had 602:587 stock split on 2nd of May 2016. Lexibook Linguistic issued dividends on 1998-07-20.

Lexibook Linguistic 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 Lexibook is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Lexibook Linguistic 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 Lexibook Linguistic stock prices may prove useful in developing a viable investing in Lexibook Linguistic

Lexibook Linguistic 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.

Predictive indicators are helping investors to find signals for Lexibook Linguistic's price direction in advance. Along with the technical and fundamental analysis of Lexibook Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Lexibook 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.

When running Lexibook Linguistic's price analysis, check to measure Lexibook Linguistic'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 Lexibook Linguistic is operating at the current time. Most of Lexibook Linguistic's value examination focuses on studying past and present price action to predict the probability of Lexibook Linguistic's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lexibook Linguistic's price. Additionally, you may evaluate how the addition of Lexibook Linguistic to your portfolios can decrease your overall portfolio volatility.