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 |
Jul 10, 2017 | $88.98 | $89.05 | $88.05 | $88.27 | 598 225 |
Jul 07, 2017 | $88.95 | $89.94 | $88.00 | $88.85 | 954 521 |
Jul 06, 2017 | $88.68 | $88.68 | $87.64 | $87.86 | 723 672 |
Jul 05, 2017 | $88.48 | $89.36 | $88.16 | $89.16 | 632 894 |
Jul 03, 2017 | $89.60 | $89.60 | $88.15 | $88.23 | 532 132 |
Jun 30, 2017 | $89.61 | $89.76 | $89.09 | $89.50 | 718 769 |
Jun 29, 2017 | $90.75 | $90.75 | $88.34 | $89.42 | 859 562 |
Jun 28, 2017 | $89.90 | $90.79 | $89.06 | $90.59 | 715 878 |
Jun 27, 2017 | $90.23 | $90.75 | $89.37 | $89.47 | 711 134 |
Jun 26, 2017 | $91.18 | $91.60 | $90.12 | $90.18 | 769 439 |
Jun 23, 2017 | $90.77 | $91.15 | $90.21 | $91.08 | 2 520 751 |
Jun 22, 2017 | $91.67 | $91.81 | $89.83 | $90.88 | 2 818 741 |
Jun 21, 2017 | $88.80 | $90.43 | $88.17 | $89.78 | 1 291 778 |
Jun 20, 2017 | $88.06 | $88.70 | $87.55 | $88.39 | 894 553 |
Jun 19, 2017 | $87.10 | $88.36 | $87.10 | $87.87 | 739 828 |
Jun 16, 2017 | $86.90 | $87.31 | $86.38 | $87.13 | 1 523 267 |
Jun 15, 2017 | $85.97 | $86.91 | $85.80 | $86.63 | 826 061 |
Jun 14, 2017 | $86.65 | $87.17 | $85.83 | $86.35 | 565 255 |
Jun 13, 2017 | $85.95 | $87.10 | $85.83 | $86.73 | 974 835 |
Jun 12, 2017 | $86.15 | $86.27 | $84.30 | $85.59 | 1 548 983 |
Jun 09, 2017 | $87.66 | $88.06 | $86.10 | $86.15 | 1 042 610 |
Jun 08, 2017 | $88.00 | $88.02 | $87.40 | $87.80 | 943 424 |
Jun 07, 2017 | $87.01 | $87.90 | $86.98 | $87.57 | 758 523 |
Jun 06, 2017 | $87.04 | $87.71 | $86.54 | $87.09 | 659 665 |
Jun 05, 2017 | $88.22 | $88.38 | $87.26 | $87.29 | 897 928 |
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.