NASDAQ:CDZI
Cadiz Stock Price (Quote)
$3.00
+0.200 (+7.14%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.12 | $3.10 | Thursday, 16th May 2024 CDZI stock ended at $3.00. This is 7.14% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 11.12% from a day low at $2.79 to a day high of $3.10. |
90 days | $2.12 | $3.10 | |
52 weeks | $2.12 | $5.80 |
Date | Open | High | Low | Close | Volume |
Apr 12, 2022 | $2.01 | $2.09 | $1.89 | $1.96 | 600 560 |
Apr 11, 2022 | $2.25 | $2.27 | $1.91 | $2.00 | 376 545 |
Apr 08, 2022 | $2.22 | $2.23 | $2.21 | $2.21 | 175 681 |
Apr 07, 2022 | $2.49 | $2.50 | $2.15 | $2.19 | 579 000 |
Apr 06, 2022 | $2.32 | $2.44 | $2.26 | $2.41 | 628 200 |
Apr 05, 2022 | $2.21 | $2.27 | $2.21 | $2.21 | 345 800 |
Apr 04, 2022 | $2.16 | $2.24 | $2.16 | $2.17 | 224 600 |
Apr 01, 2022 | $2.08 | $2.16 | $1.99 | $2.16 | 208 749 |
Mar 31, 2022 | $2.15 | $2.19 | $2.02 | $2.06 | 163 624 |
Mar 30, 2022 | $2.35 | $2.48 | $2.17 | $2.19 | 458 408 |
Mar 29, 2022 | $2.14 | $2.41 | $2.14 | $2.33 | 515 987 |
Mar 28, 2022 | $2.14 | $2.18 | $2.11 | $2.13 | 132 000 |
Mar 25, 2022 | $2.15 | $2.21 | $2.12 | $2.15 | 143 800 |
Mar 24, 2022 | $2.28 | $2.30 | $2.13 | $2.15 | 283 400 |
Mar 23, 2022 | $2.26 | $2.47 | $2.16 | $2.21 | 502 100 |
Mar 22, 2022 | $2.19 | $2.26 | $2.10 | $2.15 | 513 968 |
Mar 21, 2022 | $1.76 | $2.47 | $1.76 | $2.22 | 1 470 439 |
Mar 18, 2022 | $1.68 | $1.80 | $1.66 | $1.75 | 611 871 |
Mar 17, 2022 | $1.84 | $1.84 | $1.67 | $1.67 | 427 800 |
Mar 16, 2022 | $1.85 | $1.91 | $1.78 | $1.81 | 251 800 |
Mar 15, 2022 | $1.73 | $1.93 | $1.70 | $1.85 | 366 200 |
Mar 14, 2022 | $1.90 | $1.91 | $1.69 | $1.73 | 393 100 |
Mar 11, 2022 | $1.93 | $1.94 | $1.83 | $1.83 | 243 900 |
Mar 10, 2022 | $1.98 | $2.02 | $1.86 | $1.92 | 132 200 |
Mar 09, 2022 | $2.08 | $2.11 | $1.99 | $2.00 | 99 800 |
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 CDZI stock historical prices to predict future price movements?
Trend Analysis: Examine the CDZI 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 CDZI 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.