Prairie Provident Resources Stock Price History

Prairie Provident Pink Sheet Price History Chart

Prairie Provident February 1, 2025 Pink Sheet Price Synopsis

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

Prairie Pink Sheet Price History Data

The price series of Prairie Provident for the period between Sun, Nov 3, 2024 and Sat, Feb 1, 2025 has a statistical range of 0.03 with a coefficient of variation of 30.53. The price distribution for the period has arithmetic mean of 0.03. The median price for the last 90 days is 0.02. The company completed stock split (1:10) on 13th of August 2013. Prairie Provident had dividends distributed to its stock-holders on 2015-11-10.

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

Prairie Provident technical pink sheet 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, pink sheet market cycles, or different charting patterns.

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