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 |
Historical Quotient Technology Inc prices
Date | Open | High | Low | Close | Volume |
Apr 04, 2017 | $9.40 | $9.77 | $9.40 | $9.50 | 557 151 |
Apr 03, 2017 | $9.55 | $9.80 | $9.25 | $9.40 | 388 663 |
Mar 31, 2017 | $9.90 | $9.95 | $9.50 | $9.55 | 576 151 |
Mar 30, 2017 | $9.95 | $10.15 | $9.73 | $9.95 | 513 137 |
Mar 29, 2017 | $9.80 | $10.00 | $9.80 | $9.90 | 183 403 |
Mar 28, 2017 | $10.05 | $10.20 | $9.80 | $9.90 | 174 074 |
Mar 27, 2017 | $9.80 | $10.15 | $9.80 | $10.05 | 242 530 |
Mar 24, 2017 | $10.05 | $10.15 | $9.95 | $10.05 | 221 151 |
Mar 23, 2017 | $9.95 | $10.25 | $9.85 | $10.05 | 266 210 |
Mar 22, 2017 | $10.35 | $10.45 | $9.90 | $9.95 | 552 697 |
Mar 21, 2017 | $11.10 | $11.10 | $10.40 | $10.45 | 475 784 |
Mar 20, 2017 | $11.35 | $11.50 | $10.95 | $10.95 | 534 642 |
Mar 17, 2017 | $11.15 | $11.45 | $11.10 | $11.30 | 666 967 |
Mar 16, 2017 | $11.15 | $11.25 | $10.80 | $11.20 | 405 949 |
Mar 15, 2017 | $11.05 | $11.15 | $10.90 | $11.05 | 213 723 |
Mar 14, 2017 | $11.00 | $11.10 | $10.80 | $11.00 | 264 350 |
Mar 13, 2017 | $11.05 | $11.15 | $10.90 | $11.00 | 143 796 |
Mar 10, 2017 | $11.05 | $11.23 | $10.80 | $11.05 | 316 154 |
Mar 09, 2017 | $10.85 | $11.10 | $10.80 | $11.00 | 182 390 |
Mar 08, 2017 | $10.95 | $10.95 | $10.65 | $10.90 | 330 863 |
Mar 07, 2017 | $11.05 | $11.10 | $10.85 | $10.85 | 267 845 |
Mar 06, 2017 | $10.80 | $11.05 | $10.75 | $11.00 | 332 024 |
Mar 03, 2017 | $11.15 | $11.25 | $10.55 | $10.95 | 520 081 |
Mar 02, 2017 | $11.70 | $11.70 | $11.15 | $11.15 | 370 926 |
Mar 01, 2017 | $12.00 | $12.15 | $11.65 | $11.65 | 446 669 |
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.