NYSE:QUOT
Delisted
Quotient Technology Inc Stock Price (Quote)
$3.99
+0 (+0%)
At Close: Nov 30, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.99 | $3.99 | Thursday, 30th Nov 2023 QUOT stock ended at $3.99. During the day the stock fluctuated 0% from a day low at $3.99 to a day high of $3.99. |
90 days | $3.99 | $4.01 | |
52 weeks | $2.46 | $4.25 |
Date | Open | High | Low | Close | Volume |
Nov 30, 2022 | $2.93 | $3.04 | $2.90 | $2.95 | 3 501 963 |
Nov 29, 2022 | $3.01 | $3.06 | $2.99 | $3.01 | 426 469 |
Nov 28, 2022 | $3.14 | $3.18 | $3.01 | $3.03 | 769 574 |
Nov 25, 2022 | $3.08 | $3.21 | $3.04 | $3.14 | 501 188 |
Nov 23, 2022 | $3.04 | $3.12 | $3.03 | $3.08 | 300 152 |
Nov 22, 2022 | $3.23 | $3.24 | $3.10 | $3.13 | 475 088 |
Nov 21, 2022 | $3.11 | $3.25 | $3.05 | $3.23 | 1 120 984 |
Nov 18, 2022 | $3.16 | $3.19 | $2.97 | $2.99 | 736 520 |
Nov 17, 2022 | $3.06 | $3.16 | $3.03 | $3.04 | 746 488 |
Nov 16, 2022 | $3.34 | $3.37 | $3.13 | $3.14 | 506 175 |
Nov 15, 2022 | $3.38 | $3.46 | $3.33 | $3.36 | 637 757 |
Nov 14, 2022 | $3.60 | $3.67 | $3.24 | $3.29 | 752 761 |
Nov 11, 2022 | $3.34 | $3.54 | $3.34 | $3.53 | 1 718 112 |
Nov 10, 2022 | $3.37 | $3.45 | $3.22 | $3.40 | 2 165 782 |
Nov 09, 2022 | $2.86 | $3.33 | $2.66 | $3.23 | 36 449 |
Nov 08, 2022 | $2.83 | $2.83 | $2.57 | $2.63 | 2 209 604 |
Nov 07, 2022 | $2.82 | $2.84 | $2.74 | $2.78 | 1 579 231 |
Nov 04, 2022 | $2.69 | $2.85 | $2.68 | $2.78 | 1 399 306 |
Nov 03, 2022 | $2.62 | $2.72 | $2.62 | $2.69 | 1 037 106 |
Nov 02, 2022 | $2.67 | $2.77 | $2.60 | $2.65 | 1 159 734 |
Nov 01, 2022 | $2.49 | $2.76 | $2.48 | $2.72 | 2 431 495 |
Oct 31, 2022 | $2.39 | $2.48 | $2.35 | $2.46 | 790 337 |
Oct 28, 2022 | $2.35 | $2.42 | $2.32 | $2.40 | 529 612 |
Oct 27, 2022 | $2.43 | $2.47 | $2.36 | $2.37 | 570 797 |
Oct 26, 2022 | $2.41 | $2.49 | $2.36 | $2.42 | 629 376 |
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 QUOT stock historical prices to predict future price movements?
Trend Analysis: Examine the QUOT 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 QUOT 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.