Simat Technologies (Thailand) Price History

Simat Technologies Stock Price History Chart

Simat Technologies January 20, 2025 Stock Price Synopsis

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

Simat Stock Price History Data

The price series of Simat Technologies for the period between Tue, Oct 22, 2024 and Mon, Jan 20, 2025 has a statistical range of 1.18 with a coefficient of variation of 19.54. The price distribution for the period has arithmetic mean of 1.79. The median price for the last 90 days is 1.89. The company completed stock split (11:10) on 6th of May 2014. Simat Technologies Public had dividends distributed to its stock-holders on 2014-05-06.

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

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