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 |
Mar 02, 2016 | $1.53 | $1.61 | $1.53 | $1.57 | 762 700 |
Mar 01, 2016 | $1.63 | $1.65 | $1.51 | $1.54 | 826 900 |
Feb 29, 2016 | $1.68 | $1.68 | $1.61 | $1.63 | 553 600 |
Feb 26, 2016 | $1.64 | $1.66 | $1.57 | $1.61 | 779 400 |
Feb 25, 2016 | $1.66 | $1.67 | $1.59 | $1.66 | 638 400 |
Feb 24, 2016 | $1.68 | $1.78 | $1.61 | $1.64 | 1 316 000 |
Feb 23, 2016 | $1.42 | $1.63 | $1.42 | $1.62 | 1 208 400 |
Feb 22, 2016 | $1.43 | $1.47 | $1.42 | $1.45 | 732 600 |
Feb 19, 2016 | $1.51 | $1.51 | $1.43 | $1.45 | 2 300 100 |
Feb 18, 2016 | $1.48 | $1.52 | $1.41 | $1.45 | 2 523 200 |
Feb 17, 2016 | $1.53 | $1.55 | $1.49 | $1.51 | 1 138 200 |
Feb 16, 2016 | $1.66 | $1.69 | $1.52 | $1.53 | 948 100 |
Feb 12, 2016 | $1.66 | $1.71 | $1.62 | $1.70 | 913 900 |
Feb 11, 2016 | $1.68 | $1.84 | $1.61 | $1.69 | 1 926 600 |
Feb 10, 2016 | $1.59 | $1.64 | $1.51 | $1.55 | 1 334 100 |
Feb 09, 2016 | $1.67 | $1.72 | $1.59 | $1.63 | 1 487 200 |
Feb 08, 2016 | $1.63 | $1.82 | $1.62 | $1.68 | 2 558 900 |
Feb 05, 2016 | $1.74 | $1.76 | $1.54 | $1.62 | 3 505 500 |
Feb 04, 2016 | $2.10 | $2.10 | $1.85 | $1.89 | 4 681 800 |
Feb 03, 2016 | $2.55 | $2.73 | $2.55 | $2.63 | 825 800 |
Feb 02, 2016 | $2.55 | $2.59 | $2.45 | $2.54 | 253 900 |
Feb 01, 2016 | $2.53 | $2.64 | $2.51 | $2.59 | 515 800 |
Jan 29, 2016 | $2.39 | $2.51 | $2.39 | $2.50 | 500 000 |
Jan 28, 2016 | $2.38 | $2.47 | $2.37 | $2.40 | 494 700 |
Jan 27, 2016 | $2.33 | $2.46 | $2.33 | $2.44 | 650 100 |
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.