NYSE:FBR
Delisted
Fibria Celulose SA Fund Price (Quote)
$17.01
+0 (+0%)
At Close: Feb 07, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $17.01 | $17.01 | Thursday, 7th Feb 2019 FBR stock ended at $17.01. During the day the stock fluctuated 0% from a day low at $17.01 to a day high of $17.01. |
90 days | $16.79 | $19.27 | |
52 weeks | $15.95 | $22.05 |
Historical Fibria Celulose SA prices
Date | Open | High | Low | Close | Volume |
Jun 02, 2016 | $9.21 | $9.40 | $9.21 | $9.40 | 964 875 |
Jun 01, 2016 | $9.33 | $9.38 | $9.15 | $9.29 | 1 089 284 |
May 31, 2016 | $9.11 | $9.31 | $9.08 | $9.28 | 1 170 062 |
May 27, 2016 | $8.84 | $9.04 | $8.84 | $8.99 | 832 751 |
May 26, 2016 | $8.81 | $8.90 | $8.80 | $8.85 | 373 363 |
May 25, 2016 | $8.57 | $8.93 | $8.52 | $8.77 | 749 997 |
May 24, 2016 | $8.75 | $8.78 | $8.49 | $8.54 | 1 104 647 |
May 23, 2016 | $8.98 | $9.14 | $8.88 | $8.91 | 1 311 348 |
May 20, 2016 | $8.67 | $8.98 | $8.63 | $8.93 | 1 211 863 |
May 19, 2016 | $8.72 | $8.79 | $8.53 | $8.64 | 3 210 572 |
May 18, 2016 | $8.47 | $8.78 | $8.45 | $8.73 | 1 509 470 |
May 17, 2016 | $8.60 | $8.62 | $8.37 | $8.52 | 1 208 891 |
May 16, 2016 | $8.36 | $8.67 | $8.35 | $8.62 | 1 426 007 |
May 13, 2016 | $8.54 | $8.57 | $8.22 | $8.28 | 2 262 010 |
May 12, 2016 | $8.97 | $9.03 | $8.71 | $8.75 | 1 176 526 |
May 11, 2016 | $8.95 | $9.24 | $8.94 | $9.11 | 1 640 511 |
May 10, 2016 | $8.59 | $8.95 | $8.53 | $8.95 | 1 052 378 |
May 09, 2016 | $8.61 | $8.83 | $8.52 | $8.58 | 1 651 025 |
May 06, 2016 | $8.42 | $8.66 | $8.38 | $8.64 | 1 352 087 |
May 05, 2016 | $8.40 | $8.58 | $8.38 | $8.42 | 1 055 599 |
May 04, 2016 | $8.58 | $8.62 | $8.37 | $8.43 | 1 325 927 |
May 03, 2016 | $8.72 | $8.73 | $8.51 | $8.54 | 998 608 |
May 02, 2016 | $8.90 | $8.95 | $8.69 | $8.71 | 1 198 577 |
Apr 29, 2016 | $8.96 | $9.03 | $8.74 | $8.86 | 1 267 791 |
Apr 28, 2016 | $9.31 | $9.34 | $8.97 | $9.02 | 2 135 883 |
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 FBR stock historical prices to predict future price movements?
Trend Analysis: Examine the FBR 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 FBR 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.