NASDAQ:CDMO
Avid Bioservices Inc. Stock Price (Quote)
$9.28
+0.160 (+1.75%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.31 | $9.87 | Monday, 20th May 2024 CDMO stock ended at $9.28. This is 1.75% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.13% from a day low at $8.96 to a day high of $9.33. |
90 days | $5.90 | $9.87 | |
52 weeks | $4.07 | $17.39 |
Date | Open | High | Low | Close | Volume |
Jan 09, 2018 | $4.25 | $4.43 | $4.12 | $4.21 | 192 816 |
Jan 08, 2018 | $3.83 | $4.12 | $3.35 | $4.11 | 159 805 |
Jan 05, 2018 | $4.24 | $4.25 | $4.18 | $4.22 | 93 094 |
Jan 04, 2018 | $4.08 | $4.21 | $4.01 | $4.19 | 125 900 |
Jan 03, 2018 | $4.06 | $4.15 | $4.04 | $4.10 | 71 586 |
Jan 02, 2018 | $3.88 | $4.14 | $3.88 | $4.10 | 145 779 |
Dec 29, 2017 | $4.00 | $4.14 | $3.86 | $3.88 | 121 754 |
Dec 28, 2017 | $4.13 | $4.18 | $4.00 | $4.03 | 166 560 |
Dec 27, 2017 | $4.17 | $4.40 | $4.02 | $4.20 | 232 169 |
Dec 26, 2017 | $4.08 | $4.30 | $4.02 | $4.11 | 361 877 |
Dec 22, 2017 | $3.83 | $4.07 | $3.83 | $3.97 | 132 231 |
Dec 21, 2017 | $3.80 | $3.94 | $3.74 | $3.83 | 102 700 |
Dec 20, 2017 | $3.85 | $3.89 | $3.76 | $3.83 | 99 659 |
Dec 19, 2017 | $4.04 | $4.06 | $3.77 | $3.85 | 260 563 |
Dec 18, 2017 | $3.86 | $4.27 | $3.86 | $4.02 | 368 558 |
Dec 15, 2017 | $4.00 | $4.00 | $3.82 | $3.86 | 324 779 |
Dec 14, 2017 | $4.11 | $4.18 | $3.94 | $4.07 | 348 412 |
Dec 13, 2017 | $4.31 | $4.40 | $4.11 | $4.20 | 493 758 |
Dec 12, 2017 | $4.55 | $4.74 | $4.01 | $4.35 | 1 047 082 |
Dec 11, 2017 | $5.34 | $5.48 | $5.22 | $5.35 | 262 173 |
Dec 08, 2017 | $5.31 | $5.39 | $5.20 | $5.26 | 174 653 |
Dec 07, 2017 | $5.28 | $5.45 | $5.00 | $5.31 | 165 993 |
Dec 06, 2017 | $5.20 | $5.36 | $5.16 | $5.33 | 109 783 |
Dec 05, 2017 | $5.10 | $5.39 | $5.10 | $5.26 | 183 723 |
Dec 04, 2017 | $5.23 | $5.30 | $5.07 | $5.14 | 117 183 |
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 CDMO stock historical prices to predict future price movements?
Trend Analysis: Examine the CDMO 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 CDMO 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.