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 |
Nov 29, 2021 | $9.19 | $9.21 | $8.98 | $9.04 | 365 237 |
Nov 26, 2021 | $8.65 | $8.69 | $8.54 | $8.62 | 453 326 |
Nov 24, 2021 | $8.87 | $9.02 | $8.85 | $8.99 | 926 198 |
Nov 23, 2021 | $8.90 | $9.13 | $8.90 | $9.13 | 1 125 520 |
Nov 22, 2021 | $8.64 | $8.67 | $8.48 | $8.48 | 1 077 404 |
Nov 19, 2021 | $9.24 | $9.25 | $9.08 | $9.14 | 461 204 |
Nov 18, 2021 | $9.59 | $9.60 | $9.31 | $9.41 | 425 038 |
Nov 17, 2021 | $9.38 | $9.63 | $9.38 | $9.61 | 373 572 |
Nov 16, 2021 | $9.15 | $9.17 | $9.08 | $9.14 | 373 464 |
Nov 15, 2021 | $9.30 | $9.36 | $9.23 | $9.32 | 446 667 |
Nov 12, 2021 | $9.24 | $9.25 | $9.10 | $9.14 | 786 398 |
Nov 11, 2021 | $9.66 | $9.72 | $9.60 | $9.64 | 409 527 |
Nov 10, 2021 | $9.82 | $9.87 | $9.64 | $9.66 | 283 031 |
Nov 09, 2021 | $9.91 | $9.91 | $9.77 | $9.83 | 355 717 |
Nov 08, 2021 | $9.82 | $9.86 | $9.79 | $9.80 | 233 330 |
Nov 05, 2021 | $9.88 | $9.88 | $9.76 | $9.79 | 166 737 |
Nov 04, 2021 | $9.77 | $9.79 | $9.69 | $9.71 | 180 191 |
Nov 03, 2021 | $9.69 | $9.72 | $9.63 | $9.72 | 667 716 |
Nov 02, 2021 | $9.79 | $9.83 | $9.75 | $9.81 | 234 706 |
Nov 01, 2021 | $9.98 | $10.03 | $9.95 | $9.99 | 264 604 |
Oct 29, 2021 | $9.76 | $9.88 | $9.70 | $9.85 | 534 547 |
Oct 28, 2021 | $10.10 | $10.10 | $9.96 | $10.03 | 692 717 |
Oct 27, 2021 | $10.33 | $10.42 | $10.24 | $10.27 | 455 444 |
Oct 26, 2021 | $10.54 | $10.55 | $10.40 | $10.45 | 307 575 |
Oct 25, 2021 | $10.35 | $10.41 | $10.31 | $10.40 | 339 426 |
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.