Nurminen Logistics (Finland) Price History

Nurminen Logistics Stock Price History Chart

Nurminen Logistics January 21, 2025 Stock Price Synopsis

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

Nurminen Stock Price History Data

The price series of Nurminen Logistics for the period between Wed, Oct 23, 2024 and Tue, Jan 21, 2025 has a statistical range of 0.38 with a coefficient of variation of 9.67. The daily prices for the period are spread out with arithmetic mean of 0.96. The median price for the last 90 days is 0.97. The company underwent 495:277 stock split on 27th of June 2017. Nurminen Logistics Oyj issued dividends to stockholders on 2022-09-14.

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

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