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 |
Feb 16, 2022 | $7.60 | $7.80 | $7.58 | $7.78 | 277 900 |
Feb 15, 2022 | $7.52 | $7.87 | $7.51 | $7.62 | 351 100 |
Feb 14, 2022 | $7.22 | $7.45 | $7.14 | $7.27 | 336 300 |
Feb 11, 2022 | $7.42 | $7.50 | $7.13 | $7.19 | 483 200 |
Feb 10, 2022 | $7.71 | $7.72 | $7.49 | $7.50 | 318 200 |
Feb 09, 2022 | $7.57 | $7.86 | $7.57 | $7.84 | 305 700 |
Feb 08, 2022 | $7.27 | $7.49 | $7.27 | $7.46 | 152 700 |
Feb 07, 2022 | $7.27 | $7.34 | $7.18 | $7.26 | 141 500 |
Feb 04, 2022 | $7.22 | $7.28 | $7.07 | $7.25 | 183 900 |
Feb 03, 2022 | $7.28 | $7.33 | $7.13 | $7.13 | 198 000 |
Feb 02, 2022 | $7.61 | $7.61 | $7.43 | $7.44 | 141 500 |
Feb 01, 2022 | $7.50 | $7.61 | $7.49 | $7.53 | 177 500 |
Jan 31, 2022 | $7.21 | $7.49 | $7.21 | $7.47 | 190 200 |
Jan 28, 2022 | $7.06 | $7.22 | $7.04 | $7.18 | 238 700 |
Jan 27, 2022 | $7.13 | $7.17 | $6.97 | $6.99 | 263 700 |
Jan 26, 2022 | $7.24 | $7.28 | $6.81 | $6.89 | 335 500 |
Jan 25, 2022 | $6.89 | $7.25 | $6.85 | $7.19 | 428 300 |
Jan 24, 2022 | $6.80 | $7.09 | $6.68 | $7.07 | 482 400 |
Jan 21, 2022 | $7.28 | $7.39 | $7.17 | $7.19 | 360 400 |
Jan 20, 2022 | $7.58 | $7.58 | $7.24 | $7.28 | 370 000 |
Jan 19, 2022 | $7.70 | $7.70 | $7.50 | $7.50 | 248 200 |
Jan 18, 2022 | $7.50 | $7.73 | $7.48 | $7.65 | 513 900 |
Jan 14, 2022 | $7.76 | $7.97 | $7.75 | $7.96 | 233 900 |
Jan 13, 2022 | $8.17 | $8.27 | $7.98 | $8.01 | 229 400 |
Jan 12, 2022 | $8.20 | $8.35 | $8.15 | $8.33 | 164 700 |
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.