NYSE:QD
Qudian Inc. Stock Price (Quote)
$1.71
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.66 | $2.53 | Friday, 31st May 2024 QD stock ended at $1.71. During the day the stock fluctuated 1.79% from a day low at $1.68 to a day high of $1.71. |
90 days | $1.66 | $2.60 | |
52 weeks | $1.38 | $2.60 |
Historical Qudian Inc. prices
Date | Open | High | Low | Close | Volume |
Apr 27, 2023 | $1.20 | $1.26 | $1.21 | $1.22 | 274 747 |
Apr 26, 2023 | $1.16 | $1.22 | $1.16 | $1.20 | 312 425 |
Apr 25, 2023 | $1.20 | $1.20 | $1.15 | $1.17 | 306 745 |
Apr 24, 2023 | $1.25 | $1.28 | $1.23 | $1.23 | 262 780 |
Apr 21, 2023 | $1.31 | $1.31 | $1.27 | $1.27 | 332 302 |
Apr 20, 2023 | $1.25 | $1.33 | $1.24 | $1.30 | 588 900 |
Apr 19, 2023 | $1.19 | $1.28 | $1.18 | $1.25 | 450 106 |
Apr 18, 2023 | $1.19 | $1.24 | $1.19 | $1.22 | 279 008 |
Apr 17, 2023 | $1.14 | $1.19 | $1.14 | $1.19 | 291 005 |
Apr 14, 2023 | $1.16 | $1.20 | $1.11 | $1.15 | 379 915 |
Apr 13, 2023 | $1.14 | $1.20 | $1.14 | $1.18 | 280 649 |
Apr 12, 2023 | $1.19 | $1.20 | $1.14 | $1.14 | 313 509 |
Apr 11, 2023 | $1.18 | $1.21 | $1.16 | $1.20 | 561 957 |
Apr 10, 2023 | $1.16 | $1.19 | $1.15 | $1.19 | 276 761 |
Apr 06, 2023 | $1.14 | $1.19 | $1.16 | $1.18 | 287 893 |
Apr 05, 2023 | $1.15 | $1.19 | $1.15 | $1.17 | 238 893 |
Apr 04, 2023 | $1.20 | $1.20 | $1.15 | $1.18 | 442 693 |
Apr 03, 2023 | $1.19 | $1.20 | $1.18 | $1.19 | 411 457 |
Mar 31, 2023 | $1.16 | $1.20 | $1.14 | $1.20 | 302 479 |
Mar 30, 2023 | $1.20 | $1.20 | $1.13 | $1.16 | 854 137 |
Mar 29, 2023 | $1.11 | $1.17 | $1.10 | $1.17 | 431 015 |
Mar 28, 2023 | $1.16 | $1.18 | $1.10 | $1.14 | 339 258 |
Mar 27, 2023 | $1.21 | $1.21 | $1.16 | $1.16 | 290 798 |
Mar 24, 2023 | $1.16 | $1.22 | $1.17 | $1.20 | 265 641 |
Mar 23, 2023 | $1.17 | $1.22 | $1.18 | $1.21 | 364 913 |
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 QD stock historical prices to predict future price movements?
Trend Analysis: Examine the QD 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 QD 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.