NYSE:QS
Quantumscape Stock Price (Quote)
$5.60
-0.210 (-3.61%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.92 | $6.42 | Friday, 17th May 2024 QS stock ended at $5.60. This is 3.61% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.50% from a day low at $5.55 to a day high of $5.80. |
90 days | $4.92 | $6.84 | |
52 weeks | $4.92 | $13.86 |
Date | Open | High | Low | Close | Volume |
Oct 19, 2020 | $14.63 | $15.00 | $14.50 | $14.54 | 615 243 |
Oct 16, 2020 | $15.20 | $15.21 | $14.32 | $14.48 | 909 418 |
Oct 15, 2020 | $14.76 | $15.18 | $14.23 | $14.65 | 667 754 |
Oct 14, 2020 | $15.01 | $15.21 | $14.23 | $14.50 | 887 952 |
Oct 13, 2020 | $15.90 | $16.00 | $14.88 | $15.10 | 1 009 081 |
Oct 12, 2020 | $15.01 | $15.70 | $14.76 | $15.70 | 1 206 243 |
Oct 09, 2020 | $14.75 | $14.94 | $14.35 | $14.75 | 1 074 241 |
Oct 08, 2020 | $13.90 | $14.35 | $13.72 | $14.10 | 1 119 690 |
Oct 07, 2020 | $14.04 | $14.37 | $13.70 | $13.72 | 1 163 646 |
Oct 06, 2020 | $14.90 | $15.00 | $13.56 | $13.70 | 2 760 728 |
Oct 05, 2020 | $16.40 | $16.44 | $14.75 | $14.95 | 2 351 560 |
Oct 02, 2020 | $15.88 | $16.50 | $15.71 | $15.93 | 1 223 571 |
Oct 01, 2020 | $16.80 | $17.09 | $16.50 | $16.65 | 589 649 |
Sep 30, 2020 | $17.02 | $17.40 | $16.55 | $16.75 | 952 245 |
Sep 29, 2020 | $17.99 | $18.05 | $16.75 | $16.90 | 1 456 648 |
Sep 28, 2020 | $17.78 | $18.60 | $17.30 | $17.86 | 1 857 326 |
Sep 25, 2020 | $16.50 | $17.15 | $16.10 | $17.15 | 1 058 104 |
Sep 24, 2020 | $16.10 | $16.70 | $15.11 | $16.00 | 2 479 054 |
Sep 23, 2020 | $19.00 | $19.38 | $16.49 | $16.74 | 3 891 396 |
Sep 22, 2020 | $18.75 | $20.35 | $18.50 | $18.99 | 3 792 691 |
Sep 21, 2020 | $17.58 | $18.64 | $16.72 | $18.35 | 2 250 360 |
Sep 18, 2020 | $18.00 | $18.33 | $17.71 | $17.85 | 1 813 813 |
Sep 17, 2020 | $17.81 | $18.50 | $17.75 | $17.88 | 1 353 454 |
Sep 16, 2020 | $18.80 | $19.60 | $18.20 | $18.66 | 3 125 856 |
Sep 15, 2020 | $19.42 | $19.50 | $18.08 | $18.35 | 2 553 686 |
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 QS stock historical prices to predict future price movements?
Trend Analysis: Examine the QS 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 QS 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.