NYSE:CZZ
Delisted
Cosan Limited Stock Price (Quote)
$20.29
+0 (+0%)
At Close: Dec 08, 2021
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $20.29 | $20.29 | Wednesday, 8th Dec 2021 CZZ stock ended at $20.29. During the day the stock fluctuated 0% from a day low at $20.29 to a day high of $20.29. |
90 days | $20.29 | $20.29 | |
52 weeks | $16.33 | $21.25 |
Date | Open | High | Low | Close | Volume |
Oct 10, 2016 | $8.04 | $8.16 | $7.89 | $7.96 | 2 264 000 |
Oct 07, 2016 | $7.95 | $8.09 | $7.81 | $8.00 | 3 945 400 |
Oct 06, 2016 | $7.57 | $7.96 | $7.54 | $7.85 | 4 734 900 |
Oct 05, 2016 | $7.37 | $7.63 | $7.34 | $7.54 | 4 763 900 |
Oct 04, 2016 | $7.44 | $7.47 | $7.27 | $7.31 | 3 480 100 |
Oct 03, 2016 | $7.15 | $7.47 | $7.08 | $7.44 | 2 076 700 |
Sep 30, 2016 | $7.14 | $7.21 | $7.05 | $7.15 | 1 777 700 |
Sep 29, 2016 | $7.20 | $7.22 | $6.95 | $7.06 | 2 123 700 |
Sep 28, 2016 | $6.94 | $7.20 | $6.82 | $7.17 | 3 868 500 |
Sep 27, 2016 | $6.88 | $6.99 | $6.86 | $6.89 | 1 773 000 |
Sep 26, 2016 | $6.89 | $6.94 | $6.84 | $6.90 | 2 405 100 |
Sep 23, 2016 | $6.89 | $7.02 | $6.80 | $6.89 | 4 753 400 |
Sep 22, 2016 | $6.88 | $6.94 | $6.80 | $6.93 | 4 169 600 |
Sep 21, 2016 | $6.75 | $6.79 | $6.70 | $6.75 | 4 656 900 |
Sep 20, 2016 | $6.78 | $6.87 | $6.67 | $6.68 | 4 260 100 |
Sep 19, 2016 | $6.72 | $6.80 | $6.67 | $6.74 | 1 698 600 |
Sep 16, 2016 | $6.73 | $6.75 | $6.63 | $6.69 | 1 114 500 |
Sep 15, 2016 | $6.78 | $6.94 | $6.72 | $6.81 | 855 800 |
Sep 14, 2016 | $6.75 | $6.89 | $6.61 | $6.71 | 971 200 |
Sep 13, 2016 | $6.90 | $7.06 | $6.76 | $6.77 | 1 507 300 |
Sep 12, 2016 | $7.03 | $7.06 | $6.83 | $7.00 | 1 096 300 |
Sep 09, 2016 | $7.34 | $7.36 | $6.99 | $7.06 | 1 422 200 |
Sep 08, 2016 | $7.42 | $7.50 | $7.32 | $7.46 | 1 477 100 |
Sep 07, 2016 | $7.35 | $7.46 | $7.26 | $7.38 | 826 100 |
Sep 06, 2016 | $7.36 | $7.39 | $7.18 | $7.30 | 1 221 100 |
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 CZZ stock historical prices to predict future price movements?
Trend Analysis: Examine the CZZ 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 CZZ 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.