Generation Capital (Israel) Price History

Generation Capital Stock Price History Chart

Generation Capital March 29, 2025 Stock Price Synopsis

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

Generation Stock Price History Data

The price series of Generation Capital for the period between Sun, Dec 29, 2024 and Sat, Mar 29, 2025 has a statistical range of 12.3 with a coefficient of variation of 3.45. Under current investment horizon, the daily prices are spread out with arithmetic mean of 80.37. The median price for the last 90 days is 80.5. The company completed dividends distribution on 2022-12-05.

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

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