BRU:TNET
Delisted
Telenet Group Holding NV Stock Price (Quote)
21.28€
+0 (+0%)
At Close: Jan 11, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 21.28€ | 21.28€ | Thursday, 11th Jan 2024 TNET.BB stock ended at 21.28€. During the day the stock fluctuated 0% from a day low at 21.28€ to a day high of 21.28€. |
90 days | 21.12€ | 21.28€ | |
52 weeks | 13.57€ | 21.34€ |
Date | Open | High | Low | Close | Volume |
Nov 08, 2022 | 16.10€ | 16.30€ | 15.92€ | 16.12€ | 84 382 |
Nov 07, 2022 | 15.78€ | 16.09€ | 15.68€ | 16.09€ | 86 937 |
Nov 04, 2022 | 15.71€ | 15.78€ | 15.39€ | 15.78€ | 28 774 |
Nov 03, 2022 | 15.52€ | 15.89€ | 15.50€ | 15.53€ | 118 253 |
Nov 02, 2022 | 15.45€ | 15.75€ | 15.23€ | 15.75€ | 186 506 |
Nov 01, 2022 | 15.45€ | 15.68€ | 15.23€ | 15.48€ | 183 765 |
Oct 31, 2022 | 15.18€ | 15.78€ | 14.97€ | 15.43€ | 385 987 |
Oct 28, 2022 | 14.12€ | 15.14€ | 14.12€ | 15.12€ | 368 427 |
Oct 27, 2022 | 13.98€ | 14.90€ | 13.59€ | 14.40€ | 256 187 |
Oct 26, 2022 | 14.26€ | 14.48€ | 13.83€ | 14.07€ | 422 919 |
Oct 25, 2022 | 14.10€ | 14.25€ | 13.96€ | 14.22€ | 147 168 |
Oct 24, 2022 | 13.80€ | 13.96€ | 13.66€ | 13.94€ | 131 279 |
Oct 21, 2022 | 13.61€ | 13.91€ | 13.47€ | 13.65€ | 109 746 |
Oct 20, 2022 | 13.39€ | 13.91€ | 13.29€ | 13.71€ | 129 229 |
Oct 19, 2022 | 13.96€ | 13.96€ | 13.30€ | 13.50€ | 83 849 |
Oct 18, 2022 | 13.70€ | 13.96€ | 13.58€ | 13.66€ | 140 142 |
Oct 17, 2022 | 13.39€ | 13.91€ | 13.29€ | 13.70€ | 129 229 |
Oct 14, 2022 | 13.56€ | 13.73€ | 13.29€ | 13.32€ | 136 930 |
Oct 13, 2022 | 13.20€ | 13.50€ | 12.56€ | 13.40€ | 344 488 |
Oct 12, 2022 | 14.00€ | 14.00€ | 13.57€ | 13.57€ | 154 713 |
Oct 11, 2022 | 14.10€ | 14.12€ | 13.83€ | 14.00€ | 147 942 |
Oct 10, 2022 | 14.20€ | 14.30€ | 14.03€ | 14.03€ | 119 612 |
Oct 07, 2022 | 14.65€ | 14.87€ | 14.31€ | 14.31€ | 160 008 |
Oct 06, 2022 | 14.85€ | 15.03€ | 14.60€ | 14.72€ | 133 468 |
Oct 05, 2022 | 15.03€ | 15.09€ | 14.65€ | 14.76€ | 167 829 |
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 TNET.BB stock historical prices to predict future price movements?
Trend Analysis: Examine the TNET.BB 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 TNET.BB 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.