NASDAQ:ONTF
ON24, Inc. Stock Price (Quote)
$6.17
+0.0100 (+0.162%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.10 | $6.98 | Friday, 24th May 2024 ONTF stock ended at $6.17. This is 0.162% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.79% from a day low at $6.15 to a day high of $6.26. |
90 days | $6.10 | $7.48 | |
52 weeks | $5.73 | $9.09 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $7.79 | $7.88 | $7.69 | $7.84 | 173 548 |
Feb 06, 2024 | $7.69 | $7.80 | $7.66 | $7.76 | 183 304 |
Feb 05, 2024 | $7.69 | $7.71 | $7.50 | $7.66 | 187 852 |
Feb 02, 2024 | $7.76 | $7.83 | $7.68 | $7.77 | 175 567 |
Feb 01, 2024 | $7.67 | $7.88 | $7.67 | $7.82 | 160 187 |
Jan 31, 2024 | $7.65 | $7.84 | $7.49 | $7.65 | 303 482 |
Jan 30, 2024 | $7.95 | $7.96 | $7.74 | $7.78 | 231 446 |
Jan 29, 2024 | $7.68 | $7.99 | $7.64 | $7.98 | 153 504 |
Jan 26, 2024 | $7.62 | $7.70 | $7.60 | $7.67 | 129 079 |
Jan 25, 2024 | $7.67 | $7.83 | $7.58 | $7.59 | 141 733 |
Jan 24, 2024 | $7.74 | $7.74 | $7.54 | $7.57 | 201 138 |
Jan 23, 2024 | $7.50 | $7.73 | $7.44 | $7.61 | 226 944 |
Jan 22, 2024 | $7.20 | $7.41 | $7.19 | $7.41 | 247 816 |
Jan 19, 2024 | $7.15 | $7.15 | $7.03 | $7.12 | 179 805 |
Jan 18, 2024 | $7.09 | $7.17 | $7.02 | $7.09 | 209 010 |
Jan 17, 2024 | $6.98 | $7.01 | $6.89 | $7.00 | 155 332 |
Jan 16, 2024 | $7.08 | $7.14 | $7.02 | $7.04 | 136 064 |
Jan 12, 2024 | $7.02 | $7.19 | $6.97 | $7.15 | 363 050 |
Jan 11, 2024 | $7.00 | $7.03 | $6.84 | $6.93 | 291 204 |
Jan 10, 2024 | $6.95 | $7.03 | $6.95 | $7.00 | 237 039 |
Jan 09, 2024 | $6.97 | $7.04 | $6.91 | $6.95 | 259 193 |
Jan 08, 2024 | $6.86 | $7.11 | $6.84 | $7.05 | 208 504 |
Jan 05, 2024 | $7.00 | $7.11 | $6.82 | $6.83 | 157 309 |
Jan 04, 2024 | $7.13 | $7.18 | $7.05 | $7.07 | 181 322 |
Jan 03, 2024 | $7.35 | $7.44 | $7.11 | $7.11 | 183 560 |
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 ONTF stock historical prices to predict future price movements?
Trend Analysis: Examine the ONTF 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 ONTF 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.