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 |
Historical Qutoutiao Inc prices
Date | Open | High | Low | Close | Volume |
Sep 12, 2019 | $4.28 | $4.40 | $4.27 | $4.36 | 1 772 568 |
Sep 11, 2019 | $4.18 | $4.38 | $4.08 | $4.35 | 3 637 271 |
Sep 10, 2019 | $4.02 | $4.11 | $3.96 | $4.06 | 3 932 646 |
Sep 09, 2019 | $4.04 | $4.14 | $3.98 | $4.02 | 6 173 320 |
Sep 06, 2019 | $4.15 | $4.30 | $4.10 | $4.12 | 1 667 183 |
Sep 05, 2019 | $4.15 | $4.43 | $3.96 | $4.10 | 4 905 186 |
Sep 04, 2019 | $4.20 | $4.59 | $4.14 | $4.52 | 1 770 930 |
Sep 03, 2019 | $4.60 | $4.63 | $4.00 | $4.04 | 2 040 142 |
Aug 30, 2019 | $4.90 | $4.95 | $4.43 | $4.64 | 2 415 540 |
Aug 29, 2019 | $4.80 | $4.98 | $4.76 | $4.93 | 2 006 969 |
Aug 28, 2019 | $4.94 | $4.96 | $4.53 | $4.73 | 1 278 367 |
Aug 27, 2019 | $4.82 | $4.96 | $4.74 | $4.93 | 1 298 232 |
Aug 26, 2019 | $4.76 | $4.91 | $4.61 | $4.87 | 1 349 761 |
Aug 23, 2019 | $4.39 | $4.68 | $4.37 | $4.67 | 2 045 003 |
Aug 22, 2019 | $4.51 | $4.59 | $4.37 | $4.45 | 560 231 |
Aug 21, 2019 | $4.45 | $4.70 | $4.35 | $4.48 | 1 612 529 |
Aug 20, 2019 | $4.46 | $4.53 | $4.32 | $4.50 | 788 961 |
Aug 19, 2019 | $4.32 | $4.46 | $4.25 | $4.42 | 1 081 302 |
Aug 16, 2019 | $3.99 | $4.25 | $3.99 | $4.20 | 980 526 |
Aug 15, 2019 | $3.98 | $4.10 | $3.91 | $3.99 | 934 612 |
Aug 14, 2019 | $3.90 | $4.02 | $3.85 | $3.97 | 2 370 790 |
Aug 13, 2019 | $3.80 | $4.10 | $3.76 | $3.98 | 1 347 686 |
Aug 12, 2019 | $4.01 | $4.01 | $3.77 | $3.82 | 1 046 042 |
Aug 09, 2019 | $3.76 | $4.06 | $3.75 | $4.06 | 1 329 055 |
Aug 08, 2019 | $3.73 | $3.91 | $3.73 | $3.80 | 1 358 879 |
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.