NYSE:VTA
Invesco Credit Opportunities Fund Fund Price (Quote)
$11.45
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.45 | $11.45 | Friday, 31st May 2024 VTA stock ended at $11.45. During the day the stock fluctuated 0% from a day low at $11.45 to a day high of $11.45. |
90 days | $11.45 | $11.45 | |
52 weeks | $11.45 | $11.45 |
Historical Invesco Credit Opportunities Fund prices
Date | Open | High | Low | Close | Volume |
Oct 03, 2016 | $11.76 | $11.80 | $11.71 | $11.67 | 301 200 |
Sep 30, 2016 | $11.71 | $11.79 | $11.69 | $11.68 | 235 400 |
Sep 29, 2016 | $11.71 | $11.72 | $11.64 | $11.61 | 209 500 |
Sep 28, 2016 | $11.66 | $11.71 | $11.61 | $11.63 | 257 100 |
Sep 27, 2016 | $11.59 | $11.68 | $11.55 | $11.58 | 234 100 |
Sep 26, 2016 | $11.61 | $11.62 | $11.54 | $11.52 | 169 500 |
Sep 23, 2016 | $11.65 | $11.66 | $11.55 | $11.54 | 214 100 |
Sep 22, 2016 | $11.65 | $11.70 | $11.59 | $11.54 | 285 600 |
Sep 21, 2016 | $11.60 | $11.62 | $11.55 | $11.48 | 163 800 |
Sep 20, 2016 | $11.52 | $11.60 | $11.51 | $11.52 | 156 900 |
Sep 19, 2016 | $11.56 | $11.57 | $11.50 | $11.44 | 178 800 |
Sep 16, 2016 | $11.53 | $11.54 | $11.50 | $11.45 | 158 900 |
Sep 15, 2016 | $11.48 | $11.55 | $11.46 | $11.45 | 193 600 |
Sep 14, 2016 | $11.45 | $11.49 | $11.42 | $11.41 | 171 900 |
Sep 13, 2016 | $11.48 | $11.51 | $11.37 | $11.35 | 207 400 |
Sep 12, 2016 | $11.54 | $11.57 | $11.45 | $11.41 | 236 200 |
Sep 09, 2016 | $11.77 | $11.78 | $11.58 | $11.47 | 271 800 |
Sep 08, 2016 | $11.75 | $11.83 | $11.73 | $11.62 | 285 300 |
Sep 07, 2016 | $11.68 | $11.76 | $11.67 | $11.61 | 248 300 |
Sep 06, 2016 | $11.65 | $11.68 | $11.62 | $11.52 | 206 500 |
Sep 02, 2016 | $11.68 | $11.70 | $11.64 | $11.52 | 142 600 |
Sep 01, 2016 | $11.68 | $11.70 | $11.64 | $11.52 | 237 500 |
Aug 31, 2016 | $11.65 | $11.68 | $11.60 | $11.52 | 235 200 |
Aug 30, 2016 | $11.67 | $11.70 | $11.61 | $11.48 | 354 700 |
Aug 29, 2016 | $11.62 | $11.70 | $11.62 | $11.50 | 251 900 |
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 VTA stock historical prices to predict future price movements?
Trend Analysis: Examine the VTA 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 VTA 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.