NYSE:Q
Delisted
Quintiles Transitional Holdings Inc Fund Price (Quote)
$103.48
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $103.48 | $103.48 | Tuesday, 16th Jan 2018 Q stock ended at $103.48. During the day the stock fluctuated 0% from a day low at $103.48 to a day high of $103.48. |
90 days | $99.67 | $110.67 | |
52 weeks | $74.80 | $110.67 |
Date | Open | High | Low | Close | Volume |
Jan 09, 2017 | $78.08 | $78.58 | $77.81 | $77.99 | 638 016 |
Jan 06, 2017 | $77.06 | $78.43 | $77.06 | $77.82 | 569 329 |
Jan 05, 2017 | $77.02 | $77.53 | $76.74 | $77.00 | 651 913 |
Jan 04, 2017 | $77.39 | $77.59 | $76.59 | $77.28 | 1 138 622 |
Jan 03, 2017 | $76.71 | $77.42 | $76.47 | $76.93 | 1 413 465 |
Dec 30, 2016 | $75.89 | $76.21 | $75.51 | $76.05 | 848 611 |
Dec 29, 2016 | $75.84 | $76.36 | $75.73 | $75.88 | 521 524 |
Dec 28, 2016 | $76.24 | $76.30 | $75.81 | $75.96 | 807 768 |
Dec 27, 2016 | $76.33 | $76.66 | $75.57 | $75.85 | 1 177 761 |
Dec 23, 2016 | $74.84 | $76.27 | $74.84 | $76.22 | 623 327 |
Dec 22, 2016 | $75.63 | $75.92 | $74.73 | $74.95 | 1 742 831 |
Dec 21, 2016 | $77.47 | $77.63 | $75.40 | $75.44 | 1 105 493 |
Dec 20, 2016 | $77.13 | $77.25 | $76.34 | $76.89 | 919 045 |
Dec 19, 2016 | $78.15 | $78.36 | $76.40 | $76.68 | 1 053 682 |
Dec 16, 2016 | $78.28 | $79.83 | $77.85 | $77.88 | 2 614 697 |
Dec 15, 2016 | $79.40 | $80.98 | $78.95 | $80.54 | 2 450 771 |
Dec 14, 2016 | $79.21 | $80.02 | $78.21 | $79.39 | 1 983 217 |
Dec 13, 2016 | $80.04 | $80.24 | $78.93 | $79.32 | 1 350 749 |
Dec 12, 2016 | $78.00 | $80.12 | $78.00 | $79.41 | 1 930 766 |
Dec 09, 2016 | $78.50 | $78.68 | $77.87 | $78.34 | 1 905 434 |
Dec 08, 2016 | $77.08 | $77.80 | $76.27 | $77.54 | 1 826 940 |
Dec 07, 2016 | $77.55 | $77.55 | $75.83 | $76.93 | 3 079 524 |
Dec 06, 2016 | $75.98 | $78.02 | $75.48 | $77.58 | 2 444 982 |
Dec 05, 2016 | $74.73 | $75.92 | $74.57 | $75.70 | 1 718 248 |
Dec 02, 2016 | $72.46 | $75.05 | $71.90 | $74.03 | 2 485 236 |
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 Q stock historical prices to predict future price movements?
Trend Analysis: Examine the Q 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 Q 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.