NASDAQ:QTNT
Delisted
Quotient Limited Stock Price (Quote)
$0.0900
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0900 | $0.0900 | Wednesday, 19th Apr 2023 QTNT stock ended at $0.0900. During the day the stock fluctuated 0% from a day low at $0.0900 to a day high of $0.0900. |
90 days | $0.0800 | $0.120 | |
52 weeks | $0.0600 | $2.39 |
Date | Open | High | Low | Close | Volume |
Dec 29, 2022 | $0.450 | $0.650 | $0.350 | $0.370 | 44 209 954 |
Dec 28, 2022 | $0.350 | $0.350 | $0.220 | $0.230 | 3 168 244 |
Dec 27, 2022 | $0.196 | $0.624 | $0.190 | $0.370 | 29 984 090 |
Dec 23, 2022 | $0.220 | $0.220 | $0.181 | $0.190 | 319 147 |
Dec 22, 2022 | $0.228 | $0.235 | $0.212 | $0.212 | 206 191 |
Dec 21, 2022 | $0.244 | $0.280 | $0.210 | $0.228 | 697 253 |
Dec 20, 2022 | $0.276 | $0.305 | $0.271 | $0.284 | 632 032 |
Dec 19, 2022 | $0.318 | $0.326 | $0.265 | $0.284 | 622 294 |
Dec 16, 2022 | $0.360 | $0.360 | $0.299 | $0.328 | 489 638 |
Dec 15, 2022 | $0.340 | $0.370 | $0.306 | $0.355 | 1 174 536 |
Dec 14, 2022 | $0.347 | $0.347 | $0.281 | $0.315 | 2 356 054 |
Dec 13, 2022 | $0.334 | $0.420 | $0.334 | $0.343 | 1 568 621 |
Dec 12, 2022 | $0.657 | $0.750 | $0.640 | $0.685 | 1 099 058 |
Dec 09, 2022 | $0.620 | $0.739 | $0.590 | $0.677 | 302 637 |
Dec 08, 2022 | $0.585 | $0.658 | $0.519 | $0.600 | 346 067 |
Dec 07, 2022 | $0.678 | $0.700 | $0.575 | $0.594 | 201 448 |
Dec 06, 2022 | $0.739 | $0.760 | $0.660 | $0.679 | 109 331 |
Dec 05, 2022 | $0.790 | $0.80 | $0.715 | $0.734 | 151 169 |
Dec 02, 2022 | $0.790 | $0.797 | $0.775 | $0.790 | 71 946 |
Dec 01, 2022 | $0.774 | $0.83 | $0.760 | $0.798 | 121 960 |
Nov 30, 2022 | $0.762 | $0.89 | $0.760 | $0.760 | 257 947 |
Nov 29, 2022 | $0.82 | $0.82 | $0.760 | $0.763 | 126 399 |
Nov 28, 2022 | $0.82 | $0.84 | $0.772 | $0.781 | 97 490 |
Nov 25, 2022 | $0.89 | $0.91 | $0.771 | $0.80 | 216 021 |
Nov 23, 2022 | $0.88 | $0.89 | $0.84 | $0.87 | 138 078 |
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 QTNT stock historical prices to predict future price movements?
Trend Analysis: Examine the QTNT 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 QTNT 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.