Samsung Electronics (Korea) Price History

Samsung Electronics Stock Price History Chart

Samsung Electronics February 26, 2025 Stock Price Synopsis

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

Samsung Stock Price History Data

The price series of Samsung Electronics for the period between Thu, Nov 28, 2024 and Wed, Feb 26, 2025 has a statistical range of 7700.0 with a coefficient of variation of 3.05. The prices are distributed with arithmetic mean of 54708.04. The median price for the last 90 days is 54300.0. The company had 50:1 stock split on 16th of May 2018. Samsung Electronics issued dividends on 2022-12-28.

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

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