$66.81
+0.350 (+0.527%)
At Close: Jun 05, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $64.64 | $71.96 | Friday, 5th Jun 2026 FER stock ended at $66.81. This is 0.527% more than the trading day before Thursday, 4th Jun 2026. During the day the stock fluctuated 1.81% from a day low at $66.47 to a day high of $67.67. |
| 90 days | $61.30 | $72.47 | |
| 52 weeks | $50.10 | $74.79 |
Historical Ferrovial Se prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 05, 2026 | $67.04 | $67.67 | $66.47 | $66.81 | 3 021 467 |
| Jun 04, 2026 | $66.62 | $66.86 | $66.22 | $66.46 | 2 326 200 |
| Jun 03, 2026 | $66.06 | $66.53 | $65.98 | $66.39 | 1 712 211 |
| Jun 02, 2026 | $66.54 | $66.89 | $66.30 | $66.34 | 898 942 |
| Jun 01, 2026 | $66.57 | $66.69 | $65.58 | $66.59 | 1 605 433 |
| May 29, 2026 | $68.27 | $69.16 | $67.98 | $68.01 | 1 159 678 |
| May 28, 2026 | $68.37 | $68.75 | $67.61 | $68.30 | 1 574 869 |
| May 27, 2026 | $69.38 | $69.56 | $68.91 | $69.52 | 876 410 |
| May 26, 2026 | $69.03 | $69.41 | $68.65 | $69.40 | 1 134 526 |
| May 22, 2026 | $68.13 | $68.20 | $67.48 | $67.48 | 1 231 308 |
| May 21, 2026 | $67.04 | $68.84 | $66.97 | $68.37 | 1 337 324 |
| May 20, 2026 | $65.92 | $67.44 | $65.59 | $67.41 | 1 737 883 |
| May 19, 2026 | $65.42 | $65.62 | $64.64 | $64.99 | 1 368 913 |
| May 18, 2026 | $67.43 | $67.55 | $66.63 | $67.19 | 1 644 204 |
| May 15, 2026 | $67.34 | $67.47 | $66.77 | $66.89 | 1 740 580 |
| May 14, 2026 | $68.43 | $68.78 | $67.91 | $68.06 | 992 086 |
| May 13, 2026 | $67.62 | $68.03 | $67.28 | $67.90 | 1 530 323 |
| May 12, 2026 | $69.11 | $69.19 | $68.20 | $68.91 | 1 352 468 |
| May 11, 2026 | $69.94 | $70.74 | $69.84 | $70.05 | 1 833 217 |
| May 08, 2026 | $71.44 | $71.71 | $70.13 | $70.42 | 1 626 454 |
| May 07, 2026 | $71.45 | $71.47 | $69.90 | $70.03 | 1 430 956 |
| May 06, 2026 | $70.92 | $71.96 | $70.78 | $71.69 | 1 253 651 |
| May 05, 2026 | $69.67 | $69.82 | $69.20 | $69.60 | 1 172 928 |
| May 04, 2026 | $68.45 | $68.77 | $67.58 | $67.85 | 1 389 865 |
| May 01, 2026 | $68.82 | $69.91 | $68.79 | $68.98 | 1 380 401 |
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 FER stock historical prices to predict future price movements?
Trend Analysis: Examine the FER 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 FER 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.
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