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 |
Apr 13, 2016 | $5.20 | $5.34 | $5.16 | $5.13 | 1 382 700 |
Apr 12, 2016 | $4.92 | $5.15 | $4.89 | $5.04 | 1 480 200 |
Apr 11, 2016 | $4.97 | $5.08 | $4.89 | $4.84 | 1 040 800 |
Apr 08, 2016 | $4.70 | $4.93 | $4.69 | $4.79 | 641 500 |
Apr 07, 2016 | $4.50 | $4.59 | $4.47 | $4.52 | 392 000 |
Apr 06, 2016 | $4.59 | $4.64 | $4.49 | $4.48 | 475 300 |
Apr 05, 2016 | $4.58 | $4.66 | $4.50 | $4.53 | 702 500 |
Apr 04, 2016 | $4.92 | $4.92 | $4.61 | $4.58 | 941 700 |
Apr 01, 2016 | $4.83 | $5.03 | $4.78 | $4.84 | 736 300 |
Mar 31, 2016 | $4.86 | $5.00 | $4.84 | $4.84 | 617 900 |
Mar 30, 2016 | $4.87 | $5.10 | $4.84 | $4.78 | 1 536 900 |
Mar 29, 2016 | $4.54 | $4.80 | $4.54 | $4.70 | 926 000 |
Mar 28, 2016 | $4.49 | $4.62 | $4.43 | $4.55 | 1 005 800 |
Mar 24, 2016 | $4.28 | $4.39 | $4.25 | $4.32 | 490 900 |
Mar 23, 2016 | $4.63 | $4.70 | $4.34 | $4.31 | 1 075 600 |
Mar 22, 2016 | $4.55 | $4.60 | $4.52 | $4.52 | 1 060 900 |
Mar 21, 2016 | $4.48 | $4.65 | $4.48 | $4.48 | 989 800 |
Mar 18, 2016 | $4.40 | $4.52 | $4.35 | $4.44 | 1 582 100 |
Mar 17, 2016 | $4.20 | $4.41 | $4.20 | $4.30 | 934 700 |
Mar 16, 2016 | $3.95 | $4.13 | $3.95 | $4.04 | 501 600 |
Mar 15, 2016 | $4.20 | $4.20 | $3.94 | $3.94 | 999 300 |
Mar 14, 2016 | $4.30 | $4.31 | $4.12 | $4.19 | 889 000 |
Mar 11, 2016 | $4.30 | $4.40 | $4.28 | $4.28 | 1 009 600 |
Mar 10, 2016 | $4.09 | $4.25 | $4.02 | $4.16 | 853 900 |
Mar 09, 2016 | $4.01 | $4.18 | $4.00 | $4.03 | 2 144 800 |
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 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.