PINK:OGZPY
Delisted
Public Joint Stock Company Gazprom Stock Price (Quote)
$1.10
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.10 | $1.10 | Friday, 27th May 2022 OGZPY stock ended at $1.10. During the day the stock fluctuated 0% from a day low at $1.10 to a day high of $1.10. |
90 days | $1.10 | $3.95 | |
52 weeks | $1.10 | $10.72 |
Date | Open | High | Low | Close | Volume |
Aug 21, 2018 | $4.22 | $4.29 | $4.22 | $4.25 | 407 322 |
Aug 20, 2018 | $4.20 | $4.22 | $4.17 | $4.20 | 215 617 |
Aug 17, 2018 | $4.17 | $4.23 | $4.14 | $4.22 | 230 503 |
Aug 16, 2018 | $4.18 | $4.24 | $4.17 | $4.19 | 421 561 |
Aug 15, 2018 | $4.17 | $4.19 | $4.13 | $4.17 | 423 109 |
Aug 14, 2018 | $4.21 | $4.26 | $4.19 | $4.26 | 392 896 |
Aug 13, 2018 | $4.21 | $4.24 | $4.17 | $4.21 | 440 447 |
Aug 10, 2018 | $4.28 | $4.31 | $4.25 | $4.28 | 355 387 |
Aug 09, 2018 | $4.35 | $4.36 | $4.31 | $4.32 | 314 024 |
Aug 08, 2018 | $4.40 | $4.42 | $4.33 | $4.35 | 257 192 |
Aug 07, 2018 | $4.43 | $4.46 | $4.41 | $4.43 | 246 949 |
Aug 06, 2018 | $4.38 | $4.41 | $4.37 | $4.38 | 261 486 |
Aug 03, 2018 | $4.43 | $4.47 | $4.43 | $4.46 | 193 944 |
Aug 02, 2018 | $4.44 | $4.44 | $4.38 | $4.42 | 184 325 |
Aug 01, 2018 | $4.49 | $4.51 | $4.48 | $4.51 | 239 340 |
Jul 31, 2018 | $4.49 | $4.55 | $4.48 | $4.54 | 841 352 |
Jul 30, 2018 | $4.43 | $4.47 | $4.42 | $4.46 | 716 027 |
Jul 27, 2018 | $4.37 | $4.39 | $4.35 | $4.37 | 806 484 |
Jul 26, 2018 | $4.37 | $4.39 | $4.36 | $4.36 | 673 759 |
Jul 25, 2018 | $4.36 | $4.42 | $4.36 | $4.42 | 629 833 |
Jul 24, 2018 | $4.40 | $4.45 | $4.35 | $4.37 | 1 157 465 |
Jul 23, 2018 | $4.36 | $4.39 | $4.35 | $4.37 | 316 731 |
Jul 20, 2018 | $4.29 | $4.33 | $4.27 | $4.31 | 865 132 |
Jul 19, 2018 | $4.32 | $4.33 | $4.27 | $4.29 | 587 547 |
Jul 18, 2018 | $4.34 | $4.37 | $4.32 | $4.37 | 666 419 |
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 OGZPY stock historical prices to predict future price movements?
Trend Analysis: Examine the OGZPY 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 OGZPY 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.