NYSE:PPP
Delisted
Primero Mining Corp Fund Price (Quote)
$0.157
+0 (+0%)
At Close: Aug 25, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.155 | $0.371 | Friday, 25th Aug 2017 PPP stock ended at $0.157. During the day the stock fluctuated 23.87% from a day low at $0.155 to a day high of $0.192. |
90 days | $0.155 | $0.464 | |
52 weeks | $0.155 | $1.80 |
Date | Open | High | Low | Close | Volume |
Dec 14, 2016 | $0.94 | $0.94 | $0.81 | $0.82 | 2 828 002 |
Dec 13, 2016 | $0.85 | $0.86 | $0.82 | $0.85 | 2 388 194 |
Dec 12, 2016 | $0.90 | $0.91 | $0.84 | $0.83 | 2 453 760 |
Dec 09, 2016 | $0.90 | $0.91 | $0.84 | $0.89 | 2 134 237 |
Dec 08, 2016 | $0.92 | $0.94 | $0.90 | $0.90 | 1 187 528 |
Dec 07, 2016 | $0.94 | $0.97 | $0.91 | $0.92 | 1 430 885 |
Dec 06, 2016 | $0.92 | $0.96 | $0.91 | $0.93 | 1 617 229 |
Dec 05, 2016 | $0.94 | $0.94 | $0.88 | $0.91 | 1 555 734 |
Dec 02, 2016 | $0.93 | $0.97 | $0.93 | $0.93 | 1 685 237 |
Dec 01, 2016 | $0.87 | $0.94 | $0.86 | $0.91 | 2 388 793 |
Nov 30, 2016 | $0.86 | $0.89 | $0.85 | $0.86 | 1 023 119 |
Nov 29, 2016 | $0.90 | $0.90 | $0.85 | $0.87 | 1 989 149 |
Nov 28, 2016 | $0.94 | $0.96 | $0.89 | $0.90 | 2 555 941 |
Nov 25, 2016 | $0.88 | $0.96 | $0.88 | $0.90 | 1 727 697 |
Nov 23, 2016 | $0.771 | $0.89 | $0.755 | $0.87 | 3 450 011 |
Nov 22, 2016 | $0.80 | $0.81 | $0.771 | $0.80 | 1 815 430 |
Nov 21, 2016 | $0.780 | $0.81 | $0.780 | $0.790 | 1 864 098 |
Nov 18, 2016 | $0.760 | $0.795 | $0.760 | $0.760 | 2 006 913 |
Nov 17, 2016 | $0.82 | $0.82 | $0.758 | $0.790 | 2 111 058 |
Nov 16, 2016 | $0.83 | $0.83 | $0.777 | $0.790 | 2 008 685 |
Nov 15, 2016 | $0.786 | $0.85 | $0.780 | $0.81 | 3 104 617 |
Nov 14, 2016 | $0.82 | $0.84 | $0.751 | $0.780 | 3 492 928 |
Nov 11, 2016 | $0.93 | $0.93 | $0.750 | $0.81 | 3 698 197 |
Nov 10, 2016 | $0.95 | $1.00 | $0.90 | $0.91 | 3 026 290 |
Nov 09, 2016 | $1.32 | $1.32 | $0.94 | $0.98 | 6 553 104 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use PPP stock historical prices to predict future price movements?
Trend Analysis: Examine the PPP stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the PPP stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.