Grupo Financiero (Mexico) Price History

Grupo Financiero Stock Price History Chart

Grupo Financiero February 17, 2025 Stock Price Synopsis

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

Grupo Stock Price History Data

The price series of Grupo Financiero for the period between Tue, Nov 19, 2024 and Mon, Feb 17, 2025 has a statistical range of 21.47 with a coefficient of variation of 3.89. Under current investment horizon, the daily prices are spread out with arithmetic mean of 140.72. The median price for the last 90 days is 140.16. The company completed 4:1 stock split on 24th of November 2005. Grupo Financiero Banorte completed dividends distribution on 2022-12-06.

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

Grupo Financiero 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 Grupo Financiero's price direction in advance. Along with the technical and fundamental analysis of Grupo Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Grupo 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 Grupo Financiero's price analysis, check to measure Grupo Financiero'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 Grupo Financiero is operating at the current time. Most of Grupo Financiero's value examination focuses on studying past and present price action to predict the probability of Grupo Financiero's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Grupo Financiero's price. Additionally, you may evaluate how the addition of Grupo Financiero to your portfolios can decrease your overall portfolio volatility.