NASDAQ:QTT
Delisted
Qutoutiao Inc Stock Price (Quote)
$0.182
+0 (+0%)
At Close: Jun 21, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.182 | $0.182 | Wednesday, 21st Jun 2023 QTT stock ended at $0.182. During the day the stock fluctuated 0% from a day low at $0.182 to a day high of $0.182. |
90 days | $0.182 | $0.182 | |
52 weeks | $0.151 | $1.20 |
Date | Open | High | Low | Close | Volume |
Oct 18, 2018 | $7.85 | $8.00 | $7.68 | $7.80 | 924 871 |
Oct 17, 2018 | $8.08 | $8.30 | $7.75 | $8.06 | 1 221 224 |
Oct 16, 2018 | $7.43 | $8.18 | $7.40 | $8.01 | 2 292 016 |
Oct 15, 2018 | $7.18 | $7.55 | $7.13 | $7.40 | 659 193 |
Oct 12, 2018 | $7.40 | $7.53 | $7.06 | $7.20 | 2 415 665 |
Oct 11, 2018 | $7.03 | $7.30 | $7.03 | $7.23 | 449 642 |
Oct 10, 2018 | $7.65 | $7.77 | $7.03 | $7.05 | 1 189 694 |
Oct 09, 2018 | $7.69 | $7.70 | $6.95 | $7.36 | 1 088 027 |
Oct 08, 2018 | $7.15 | $7.97 | $7.05 | $7.40 | 2 031 262 |
Oct 05, 2018 | $6.75 | $7.48 | $6.55 | $7.30 | 1 287 977 |
Oct 04, 2018 | $6.59 | $6.89 | $6.58 | $6.69 | 637 217 |
Oct 03, 2018 | $6.76 | $7.07 | $6.56 | $6.63 | 758 122 |
Oct 02, 2018 | $6.63 | $7.05 | $6.53 | $6.68 | 1 010 332 |
Oct 01, 2018 | $7.24 | $7.28 | $6.75 | $6.75 | 1 343 055 |
Sep 28, 2018 | $7.17 | $7.92 | $7.07 | $7.13 | 2 725 904 |
Sep 27, 2018 | $7.07 | $7.30 | $6.55 | $7.29 | 2 799 972 |
Sep 26, 2018 | $7.22 | $7.36 | $7.10 | $7.10 | 1 228 301 |
Sep 25, 2018 | $7.40 | $7.72 | $7.08 | $7.12 | 2 798 602 |
Sep 24, 2018 | $8.32 | $8.33 | $7.12 | $7.27 | 3 191 135 |
Sep 21, 2018 | $9.49 | $9.53 | $8.55 | $8.56 | 2 146 647 |
Sep 20, 2018 | $9.81 | $9.95 | $9.21 | $9.27 | 2 519 602 |
Sep 19, 2018 | $9.45 | $10.18 | $9.32 | $9.49 | 4 615 657 |
Sep 18, 2018 | $9.87 | $10.80 | $9.01 | $9.26 | 8 101 742 |
Sep 17, 2018 | $17.22 | $17.35 | $9.40 | $9.41 | 16 910 554 |
Sep 14, 2018 | $9.10 | $20.39 | $9.10 | $15.97 | 17 226 874 |
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 QTT stock historical prices to predict future price movements?
Trend Analysis: Examine the QTT 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 QTT 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.