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 |
Jan 04, 2022 | $9.32 | $9.34 | $9.27 | $9.31 | 330 534 |
Jan 03, 2022 | $9.35 | $9.43 | $9.30 | $9.42 | 310 792 |
Dec 31, 2021 | $9.04 | $9.29 | $9.04 | $9.19 | 147 251 |
Dec 30, 2021 | $9.09 | $9.14 | $9.05 | $9.11 | 305 879 |
Dec 29, 2021 | $9.10 | $9.14 | $9.05 | $9.14 | 203 729 |
Dec 28, 2021 | $9.33 | $9.33 | $9.24 | $9.29 | 356 093 |
Dec 27, 2021 | $9.26 | $9.30 | $9.21 | $9.30 | 346 355 |
Dec 23, 2021 | $9.24 | $9.31 | $9.19 | $9.26 | 299 548 |
Dec 22, 2021 | $9.32 | $9.42 | $9.28 | $9.29 | 439 023 |
Dec 21, 2021 | $8.87 | $9.14 | $8.87 | $9.09 | 576 433 |
Dec 20, 2021 | $8.67 | $8.73 | $8.63 | $8.72 | 334 682 |
Dec 17, 2021 | $8.79 | $8.83 | $8.70 | $8.78 | 146 290 |
Dec 16, 2021 | $8.91 | $8.95 | $8.81 | $8.85 | 234 429 |
Dec 15, 2021 | $8.68 | $8.78 | $8.51 | $8.74 | 303 307 |
Dec 14, 2021 | $8.53 | $8.66 | $8.49 | $8.55 | 245 748 |
Dec 13, 2021 | $8.65 | $8.72 | $8.27 | $8.32 | 864 099 |
Dec 10, 2021 | $9.01 | $9.03 | $8.91 | $9.00 | 230 121 |
Dec 09, 2021 | $9.16 | $9.17 | $9.05 | $9.09 | 234 093 |
Dec 08, 2021 | $9.17 | $9.23 | $9.08 | $9.20 | 721 363 |
Dec 07, 2021 | $9.00 | $9.28 | $8.98 | $9.25 | 935 780 |
Dec 06, 2021 | $9.04 | $9.09 | $9.01 | $9.06 | 473 433 |
Dec 03, 2021 | $9.43 | $9.43 | $9.23 | $9.28 | 434 801 |
Dec 02, 2021 | $9.35 | $9.48 | $9.33 | $9.47 | 321 502 |
Dec 01, 2021 | $9.32 | $9.43 | $9.17 | $9.21 | 599 514 |
Nov 30, 2021 | $8.98 | $9.06 | $8.87 | $8.95 | 444 064 |
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.