NYSE:VNTR
Delisted
Venator Materials PLC Stock Price (Quote)
$0.269
+0 (+0%)
At Close: Aug 11, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.269 | $0.269 | Friday, 11th Aug 2023 VNTR stock ended at $0.269. During the day the stock fluctuated 0% from a day low at $0.269 to a day high of $0.269. |
90 days | $0.269 | $0.269 | |
52 weeks | $0.260 | $2.00 |
Date | Open | High | Low | Close | Volume |
Oct 24, 2022 | $0.760 | $0.83 | $0.760 | $0.82 | 74 083 |
Oct 21, 2022 | $0.790 | $0.81 | $0.751 | $0.760 | 248 864 |
Oct 20, 2022 | $0.790 | $0.85 | $0.770 | $0.770 | 194 805 |
Oct 19, 2022 | $0.81 | $0.88 | $0.764 | $0.81 | 120 653 |
Oct 18, 2022 | $0.730 | $0.80 | $0.730 | $0.799 | 144 336 |
Oct 17, 2022 | $0.730 | $0.750 | $0.700 | $0.710 | 201 116 |
Oct 14, 2022 | $0.730 | $0.740 | $0.700 | $0.708 | 137 968 |
Oct 13, 2022 | $0.80 | $0.80 | $0.720 | $0.730 | 310 430 |
Oct 12, 2022 | $0.80 | $0.80 | $0.760 | $0.775 | 125 511 |
Oct 11, 2022 | $0.80 | $0.82 | $0.781 | $0.797 | 230 852 |
Oct 10, 2022 | $0.85 | $0.87 | $0.785 | $0.786 | 286 620 |
Oct 07, 2022 | $0.89 | $0.90 | $0.85 | $0.86 | 297 421 |
Oct 06, 2022 | $0.86 | $0.88 | $0.83 | $0.88 | 589 458 |
Oct 05, 2022 | $1.03 | $1.03 | $0.93 | $0.96 | 167 734 |
Oct 04, 2022 | $1.07 | $1.07 | $0.96 | $0.97 | 451 051 |
Oct 03, 2022 | $0.92 | $0.93 | $0.90 | $0.93 | 168 205 |
Sep 30, 2022 | $0.93 | $0.94 | $0.87 | $0.88 | 383 224 |
Sep 29, 2022 | $0.95 | $0.95 | $0.90 | $0.93 | 455 756 |
Sep 28, 2022 | $1.00 | $1.02 | $0.93 | $0.95 | 710 242 |
Sep 27, 2022 | $1.07 | $1.07 | $0.97 | $0.98 | 749 565 |
Sep 26, 2022 | $1.18 | $1.20 | $1.00 | $1.05 | 819 687 |
Sep 23, 2022 | $1.28 | $1.30 | $1.17 | $1.17 | 567 107 |
Sep 22, 2022 | $1.35 | $1.40 | $1.18 | $1.31 | 695 577 |
Sep 21, 2022 | $1.22 | $1.26 | $1.16 | $1.26 | 654 092 |
Sep 20, 2022 | $1.34 | $1.36 | $1.17 | $1.20 | 1 011 995 |
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 VNTR stock historical prices to predict future price movements?
Trend Analysis: Examine the VNTR 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 VNTR 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.