Natures Sunshine Products Stock Price History

Natures Sunshine Stock Price History Chart

Natures Sunshine November 30, 2024 Stock Price Synopsis

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

Natures Stock Price History Data

The price series of Natures Sunshine for the period between Sun, Sep 1, 2024 and Sat, Nov 30, 2024 has a statistical range of 4.83 with a coefficient of variation of 8.83. The daily prices for the period are spread out with arithmetic mean of 13.96. The median price for the last 90 days is 13.52. The company underwent 3:2 stock split on 25th of March 1996. Natures Sunshine Products issued dividends to stockholders on 2021-03-26.

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

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