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 |
Jul 25, 2016 | $13.02 | $13.19 | $12.96 | $13.05 | 227 400 |
Jul 22, 2016 | $12.81 | $13.13 | $12.76 | $13.04 | 175 400 |
Jul 21, 2016 | $12.94 | $13.16 | $12.74 | $12.82 | 259 100 |
Jul 20, 2016 | $12.02 | $13.04 | $11.95 | $13.00 | 782 900 |
Jul 19, 2016 | $12.45 | $12.56 | $11.90 | $12.05 | 1 058 600 |
Jul 18, 2016 | $12.96 | $13.12 | $12.94 | $13.05 | 367 400 |
Jul 15, 2016 | $13.22 | $13.23 | $12.90 | $13.05 | 670 300 |
Jul 14, 2016 | $13.37 | $13.50 | $13.07 | $13.15 | 331 100 |
Jul 13, 2016 | $13.78 | $13.82 | $13.36 | $13.37 | 233 500 |
Jul 12, 2016 | $13.82 | $13.98 | $13.61 | $13.73 | 361 900 |
Jul 11, 2016 | $13.86 | $14.00 | $13.58 | $13.72 | 508 600 |
Jul 08, 2016 | $13.87 | $13.93 | $13.72 | $13.78 | 384 100 |
Jul 07, 2016 | $13.79 | $13.97 | $13.70 | $13.74 | 800 200 |
Jul 06, 2016 | $13.63 | $14.00 | $13.50 | $13.79 | 468 400 |
Jul 05, 2016 | $13.51 | $13.75 | $13.44 | $13.72 | 268 500 |
Jul 01, 2016 | $13.34 | $13.66 | $13.31 | $13.65 | 254 900 |
Jun 30, 2016 | $12.87 | $13.43 | $12.80 | $13.41 | 545 900 |
Jun 29, 2016 | $12.44 | $12.87 | $12.34 | $12.86 | 669 700 |
Jun 28, 2016 | $12.15 | $12.42 | $12.10 | $12.27 | 312 300 |
Jun 27, 2016 | $12.89 | $13.10 | $11.90 | $12.01 | 565 900 |
Jun 24, 2016 | $13.21 | $13.63 | $12.89 | $13.04 | 817 900 |
Jun 23, 2016 | $13.44 | $14.00 | $13.40 | $13.98 | 285 700 |
Jun 22, 2016 | $13.51 | $13.80 | $13.31 | $13.36 | 359 600 |
Jun 21, 2016 | $13.33 | $13.68 | $13.03 | $13.50 | 349 700 |
Jun 20, 2016 | $12.98 | $13.44 | $12.81 | $13.38 | 484 000 |
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.