NYSE:ONON
On Holding AG Stock Price (Quote)
$38.12
+1.48 (+4.04%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.84 | $38.65 | Friday, 17th May 2024 ONON stock ended at $38.12. This is 4.04% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 5.49% from a day low at $36.64 to a day high of $38.65. |
90 days | $27.37 | $38.65 | |
52 weeks | $23.41 | $38.65 |
Date | Open | High | Low | Close | Volume |
Oct 15, 2021 | $29.63 | $31.06 | $29.60 | $29.72 | 409 842 |
Oct 14, 2021 | $31.18 | $31.22 | $29.15 | $29.57 | 1 178 345 |
Oct 13, 2021 | $30.80 | $31.35 | $30.65 | $30.70 | 684 281 |
Oct 12, 2021 | $31.31 | $32.50 | $30.11 | $30.54 | 1 161 758 |
Oct 11, 2021 | $30.30 | $31.62 | $30.30 | $30.69 | 1 312 793 |
Oct 08, 2021 | $30.04 | $30.42 | $29.01 | $30.07 | 619 197 |
Oct 07, 2021 | $29.59 | $30.97 | $29.29 | $29.84 | 615 548 |
Oct 06, 2021 | $30.00 | $30.22 | $29.22 | $29.59 | 743 369 |
Oct 05, 2021 | $29.09 | $31.18 | $28.93 | $30.44 | 1 251 624 |
Oct 04, 2021 | $29.12 | $30.24 | $28.10 | $29.09 | 1 308 302 |
Oct 01, 2021 | $30.14 | $30.98 | $29.80 | $30.50 | 1 062 471 |
Sep 30, 2021 | $30.90 | $32.40 | $30.06 | $30.13 | 1 468 804 |
Sep 29, 2021 | $32.24 | $33.24 | $30.31 | $30.90 | 2 380 992 |
Sep 28, 2021 | $32.62 | $33.04 | $31.85 | $32.00 | 1 774 492 |
Sep 27, 2021 | $35.71 | $35.99 | $32.92 | $33.37 | 1 777 076 |
Sep 24, 2021 | $37.20 | $37.32 | $35.60 | $36.02 | 1 180 981 |
Sep 23, 2021 | $36.55 | $37.68 | $35.84 | $37.34 | 902 269 |
Sep 22, 2021 | $39.40 | $39.80 | $35.55 | $35.75 | 1 703 681 |
Sep 21, 2021 | $37.78 | $39.01 | $36.01 | $38.64 | 1 339 494 |
Sep 20, 2021 | $38.00 | $38.00 | $34.35 | $36.01 | 2 779 643 |
Sep 17, 2021 | $39.64 | $40.80 | $38.15 | $38.95 | 3 661 908 |
Sep 16, 2021 | $36.00 | $40.13 | $35.90 | $37.49 | 6 458 744 |
Sep 15, 2021 | $35.40 | $38.00 | $34.50 | $35.00 | 13 765 817 |
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 ONON stock historical prices to predict future price movements?
Trend Analysis: Examine the ONON 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 ONON 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.