SAO:CSNA3
Companhia Siderúrgica Nacional Stock Price (Quote)
R$13.08
-0.150 (-1.13%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | R$12.82 | R$14.48 | Friday, 31st May 2024 CSNA3.SA stock ended at R$13.08. This is 1.13% less than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 2.46% from a day low at R$13.02 to a day high of R$13.34. |
90 days | R$12.82 | R$17.24 | |
52 weeks | R$10.75 | R$19.80 |
Historical Companhia Siderúrgica Nacional prices
Date | Open | High | Low | Close | Volume |
Mar 20, 2024 | R$15.99 | R$16.36 | R$15.88 | R$16.31 | 6 850 700 |
Mar 19, 2024 | R$15.90 | R$16.14 | R$15.84 | R$15.99 | 7 652 300 |
Mar 18, 2024 | R$15.36 | R$15.80 | R$15.31 | R$15.71 | 13 192 200 |
Mar 15, 2024 | R$15.56 | R$15.56 | R$15.10 | R$15.26 | 11 879 500 |
Mar 14, 2024 | R$16.28 | R$16.33 | R$15.57 | R$15.66 | 5 913 200 |
Mar 13, 2024 | R$16.09 | R$16.42 | R$16.00 | R$16.27 | 10 128 800 |
Mar 12, 2024 | R$16.07 | R$16.42 | R$15.99 | R$16.20 | 5 280 300 |
Mar 11, 2024 | R$15.91 | R$16.19 | R$15.83 | R$16.02 | 7 533 700 |
Mar 08, 2024 | R$15.66 | R$16.35 | R$15.66 | R$16.31 | 9 101 200 |
Mar 07, 2024 | R$17.05 | R$17.24 | R$15.80 | R$15.85 | 17 450 600 |
Mar 06, 2024 | R$16.63 | R$16.95 | R$16.47 | R$16.65 | 7 231 700 |
Mar 05, 2024 | R$16.65 | R$16.70 | R$16.35 | R$16.58 | 4 493 100 |
Mar 04, 2024 | R$17.06 | R$17.14 | R$16.65 | R$16.68 | 4 615 700 |
Mar 01, 2024 | R$16.84 | R$17.07 | R$16.78 | R$17.07 | 6 173 400 |
Feb 29, 2024 | R$17.00 | R$17.16 | R$16.82 | R$16.82 | 5 417 200 |
Feb 28, 2024 | R$17.27 | R$17.43 | R$17.04 | R$17.06 | 6 317 700 |
Feb 27, 2024 | R$17.49 | R$17.63 | R$17.24 | R$17.33 | 4 898 400 |
Feb 26, 2024 | R$17.37 | R$17.51 | R$17.01 | R$17.17 | 9 731 600 |
Feb 23, 2024 | R$17.50 | R$17.80 | R$17.48 | R$17.73 | 6 210 000 |
Feb 22, 2024 | R$17.65 | R$17.86 | R$17.42 | R$17.45 | 7 214 200 |
Feb 21, 2024 | R$17.77 | R$17.82 | R$17.23 | R$17.47 | 10 474 200 |
Feb 20, 2024 | R$18.51 | R$18.67 | R$17.91 | R$18.00 | 14 622 400 |
Feb 19, 2024 | R$18.85 | R$19.01 | R$18.56 | R$18.92 | 4 581 600 |
Feb 16, 2024 | R$18.63 | R$19.28 | R$18.63 | R$19.04 | 7 848 700 |
Feb 15, 2024 | R$18.01 | R$18.72 | R$18.00 | R$18.43 | 10 842 800 |
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 CSNA3.SA stock historical prices to predict future price movements?
Trend Analysis: Examine the CSNA3.SA 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 CSNA3.SA 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.