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 |
Historical Public Joint Stock Company Gazprom prices
Date | Open | High | Low | Close | Volume |
Dec 07, 2018 | $4.90 | $4.94 | $4.85 | $4.85 | 471 499 |
Dec 06, 2018 | $4.78 | $4.82 | $4.75 | $4.79 | 468 626 |
Dec 04, 2018 | $4.88 | $4.92 | $4.82 | $4.84 | 297 789 |
Dec 03, 2018 | $4.96 | $5.00 | $4.92 | $4.94 | 482 997 |
Nov 30, 2018 | $4.82 | $4.83 | $4.76 | $4.82 | 431 449 |
Nov 29, 2018 | $5.00 | $5.01 | $4.94 | $4.95 | 393 481 |
Nov 28, 2018 | $4.90 | $5.00 | $4.87 | $4.99 | 1 371 984 |
Nov 27, 2018 | $4.57 | $4.63 | $4.57 | $4.60 | 171 999 |
Nov 26, 2018 | $4.45 | $4.51 | $4.44 | $4.51 | 324 589 |
Nov 23, 2018 | $4.59 | $4.61 | $4.57 | $4.61 | 72 415 |
Nov 21, 2018 | $4.63 | $4.66 | $4.61 | $4.65 | 153 587 |
Nov 20, 2018 | $4.63 | $4.64 | $4.56 | $4.60 | 165 222 |
Nov 19, 2018 | $4.70 | $4.71 | $4.66 | $4.71 | 462 248 |
Nov 16, 2018 | $4.64 | $4.66 | $4.60 | $4.64 | 115 120 |
Nov 15, 2018 | $4.64 | $4.69 | $4.63 | $4.68 | 230 075 |
Nov 14, 2018 | $4.51 | $4.56 | $4.49 | $4.55 | 295 014 |
Nov 13, 2018 | $4.46 | $4.47 | $4.38 | $4.38 | 390 770 |
Nov 12, 2018 | $4.50 | $4.50 | $4.43 | $4.44 | 514 945 |
Nov 09, 2018 | $4.54 | $4.55 | $4.51 | $4.55 | 479 825 |
Nov 08, 2018 | $4.75 | $4.79 | $4.71 | $4.71 | 335 170 |
Nov 07, 2018 | $4.75 | $4.81 | $4.75 | $4.81 | 216 088 |
Nov 06, 2018 | $4.74 | $4.76 | $4.72 | $4.76 | 177 629 |
Nov 05, 2018 | $4.68 | $4.73 | $4.68 | $4.73 | 289 757 |
Nov 02, 2018 | $4.68 | $4.71 | $4.65 | $4.66 | 387 183 |
Nov 01, 2018 | $4.71 | $4.73 | $4.68 | $4.72 | 245 261 |
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.