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 |
Jun 02, 2017 | $87.50 | $88.43 | $87.24 | $87.93 | 1 081 006 |
Jun 01, 2017 | $86.81 | $87.52 | $86.31 | $87.13 | 1 148 366 |
May 31, 2017 | $85.64 | $86.51 | $85.59 | $86.44 | 1 502 013 |
May 30, 2017 | $85.72 | $86.38 | $85.23 | $85.50 | 884 026 |
May 26, 2017 | $84.93 | $86.11 | $84.60 | $86.02 | 1 374 408 |
May 25, 2017 | $84.20 | $85.51 | $83.90 | $84.70 | 2 406 963 |
May 24, 2017 | $83.98 | $84.31 | $83.24 | $84.22 | 613 109 |
May 23, 2017 | $84.00 | $84.00 | $83.16 | $83.80 | 765 716 |
May 22, 2017 | $83.32 | $83.56 | $82.83 | $83.54 | 555 819 |
May 19, 2017 | $83.42 | $83.76 | $82.94 | $83.05 | 1 122 290 |
May 18, 2017 | $82.29 | $83.39 | $82.10 | $83.09 | 648 078 |
May 17, 2017 | $82.81 | $83.00 | $81.74 | $82.22 | 1 078 213 |
May 16, 2017 | $82.10 | $83.40 | $82.00 | $83.19 | 1 106 170 |
May 15, 2017 | $83.00 | $83.91 | $82.82 | $83.62 | 817 811 |
May 12, 2017 | $83.16 | $83.82 | $82.86 | $82.89 | 587 998 |
May 11, 2017 | $83.87 | $83.89 | $82.95 | $83.46 | 1 192 682 |
May 10, 2017 | $84.01 | $84.71 | $83.31 | $83.80 | 1 391 502 |
May 09, 2017 | $83.79 | $84.64 | $83.59 | $84.27 | 1 330 697 |
May 08, 2017 | $82.66 | $83.88 | $82.31 | $83.64 | 1 593 446 |
May 05, 2017 | $82.49 | $83.46 | $81.96 | $83.30 | 1 186 171 |
May 04, 2017 | $83.10 | $83.46 | $81.82 | $82.20 | 1 740 677 |
May 03, 2017 | $85.00 | $85.00 | $81.62 | $82.64 | 1 747 407 |
May 02, 2017 | $84.66 | $85.59 | $84.17 | $85.34 | 1 304 235 |
May 01, 2017 | $84.75 | $85.25 | $84.20 | $84.59 | 1 335 543 |
Apr 28, 2017 | $83.65 | $84.49 | $83.57 | $84.28 | 1 003 008 |
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.