NASDAQ:OTIC
Delisted
Otonomy Stock Price (Quote)
$0.0085
+0 (+0%)
At Close: Jul 11, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0085 | $0.0085 | Tuesday, 11th Jul 2023 OTIC stock ended at $0.0085. During the day the stock fluctuated 0% from a day low at $0.0085 to a day high of $0.0085. |
90 days | $0.0085 | $0.0085 | |
52 weeks | $0.0075 | $2.32 |
Historical Otonomy prices
Date | Open | High | Low | Close | Volume |
Jun 03, 2022 | $2.00 | $2.01 | $1.93 | $1.96 | 37 094 |
Jun 02, 2022 | $1.92 | $2.02 | $1.88 | $2.00 | 40 047 |
Jun 01, 2022 | $1.98 | $2.00 | $1.89 | $1.93 | 34 106 |
May 31, 2022 | $2.03 | $2.10 | $1.93 | $1.96 | 134 383 |
May 27, 2022 | $1.96 | $2.14 | $1.95 | $2.08 | 208 412 |
May 26, 2022 | $1.85 | $2.02 | $1.80 | $1.97 | 74 921 |
May 25, 2022 | $1.77 | $1.88 | $1.76 | $1.86 | 36 029 |
May 24, 2022 | $1.90 | $1.95 | $1.75 | $1.75 | 48 215 |
May 23, 2022 | $1.86 | $1.92 | $1.80 | $1.90 | 55 451 |
May 20, 2022 | $1.96 | $1.98 | $1.80 | $1.84 | 45 102 |
May 19, 2022 | $1.86 | $1.95 | $1.86 | $1.94 | 74 796 |
May 18, 2022 | $1.94 | $2.11 | $1.85 | $1.87 | 133 803 |
May 17, 2022 | $2.06 | $2.15 | $1.95 | $1.98 | 106 312 |
May 16, 2022 | $1.76 | $2.17 | $1.69 | $2.03 | 411 641 |
May 13, 2022 | $1.77 | $1.90 | $1.69 | $1.77 | 148 864 |
May 12, 2022 | $1.75 | $1.84 | $1.71 | $1.72 | 60 702 |
May 11, 2022 | $2.10 | $2.17 | $1.75 | $1.79 | 245 028 |
May 10, 2022 | $2.20 | $2.25 | $2.03 | $2.14 | 143 973 |
May 09, 2022 | $2.16 | $2.25 | $2.10 | $2.12 | 175 307 |
May 06, 2022 | $2.25 | $2.30 | $2.11 | $2.22 | 57 259 |
May 05, 2022 | $2.42 | $2.42 | $2.15 | $2.25 | 151 591 |
May 04, 2022 | $2.49 | $2.49 | $2.24 | $2.46 | 170 235 |
May 03, 2022 | $2.32 | $2.51 | $2.23 | $2.51 | 133 168 |
May 02, 2022 | $2.18 | $2.32 | $2.12 | $2.29 | 52 690 |
Apr 29, 2022 | $2.21 | $2.27 | $2.16 | $2.20 | 90 282 |
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 OTIC stock historical prices to predict future price movements?
Trend Analysis: Examine the OTIC 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 OTIC 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.