NASDAQ:QIWI
Delisted
QIWI plc Stock Price (Quote)
$5.67
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.67 | $5.67 | Wednesday, 17th Aug 2022 QIWI stock ended at $5.67. During the day the stock fluctuated 0% from a day low at $5.67 to a day high of $5.67. |
90 days | $5.67 | $5.67 | |
52 weeks | $5.01 | $9.86 |
Date | Open | High | Low | Close | Volume |
Dec 06, 2021 | $7.79 | $8.04 | $7.67 | $8.04 | 443 976 |
Dec 03, 2021 | $8.19 | $8.24 | $7.92 | $7.93 | 552 528 |
Dec 02, 2021 | $8.55 | $8.60 | $8.36 | $8.54 | 500 882 |
Dec 01, 2021 | $8.65 | $8.65 | $8.48 | $8.54 | 328 976 |
Nov 30, 2021 | $8.50 | $8.65 | $8.36 | $8.56 | 397 954 |
Nov 29, 2021 | $8.48 | $8.51 | $8.28 | $8.49 | 271 460 |
Nov 26, 2021 | $8.31 | $8.37 | $8.15 | $8.33 | 345 942 |
Nov 24, 2021 | $8.45 | $8.64 | $8.26 | $8.50 | 307 215 |
Nov 23, 2021 | $8.19 | $8.75 | $8.08 | $8.70 | 836 086 |
Nov 22, 2021 | $8.28 | $8.28 | $7.67 | $7.72 | 988 321 |
Nov 19, 2021 | $8.39 | $8.41 | $8.28 | $8.30 | 294 440 |
Nov 18, 2021 | $8.73 | $8.74 | $8.38 | $8.39 | 396 697 |
Nov 17, 2021 | $8.94 | $8.99 | $8.75 | $8.79 | 206 722 |
Nov 16, 2021 | $8.86 | $8.88 | $8.77 | $8.87 | 180 843 |
Nov 15, 2021 | $8.86 | $8.93 | $8.81 | $8.92 | 130 119 |
Nov 12, 2021 | $8.77 | $8.84 | $8.72 | $8.79 | 188 215 |
Nov 11, 2021 | $9.04 | $9.08 | $8.82 | $8.85 | 235 379 |
Nov 10, 2021 | $8.92 | $9.13 | $8.92 | $8.99 | 190 583 |
Nov 09, 2021 | $8.96 | $8.98 | $8.88 | $8.94 | 132 552 |
Nov 08, 2021 | $8.98 | $8.98 | $8.92 | $8.93 | 154 404 |
Nov 05, 2021 | $8.91 | $8.97 | $8.84 | $8.92 | 200 902 |
Nov 04, 2021 | $8.91 | $9.08 | $8.76 | $8.79 | 165 085 |
Nov 03, 2021 | $8.87 | $8.91 | $8.81 | $8.89 | 107 446 |
Nov 02, 2021 | $9.05 | $9.07 | $8.80 | $8.91 | 179 816 |
Nov 01, 2021 | $8.84 | $9.06 | $8.82 | $9.04 | 179 268 |
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 QIWI stock historical prices to predict future price movements?
Trend Analysis: Examine the QIWI 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 QIWI 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.