NYSE:BIPC
Brookfield Infrastructure Corporation Stock Price (Quote)
$35.35
-0.190 (-0.535%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.30 | $36.01 | Tuesday, 28th May 2024 BIPC stock ended at $35.35. This is 0.535% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 2.71% from a day low at $35.06 to a day high of $36.01. |
90 days | $28.47 | $36.31 | |
52 weeks | $25.48 | $48.23 |
Historical Brookfield Infrastructure Corporation prices
Date | Open | High | Low | Close | Volume |
Apr 30, 2020 | $41.74 | $42.43 | $40.86 | $41.86 | 307 258 |
Apr 29, 2020 | $39.60 | $42.06 | $39.57 | $42.05 | 305 491 |
Apr 28, 2020 | $39.81 | $40.50 | $39.21 | $39.36 | 205 010 |
Apr 27, 2020 | $37.74 | $39.87 | $37.65 | $39.67 | 191 881 |
Apr 24, 2020 | $37.58 | $38.42 | $37.50 | $37.74 | 394 389 |
Apr 23, 2020 | $38.66 | $38.88 | $37.91 | $38.08 | 162 300 |
Apr 22, 2020 | $37.81 | $38.75 | $37.80 | $38.33 | 160 813 |
Apr 21, 2020 | $37.81 | $38.07 | $37.20 | $37.63 | 329 973 |
Apr 20, 2020 | $39.65 | $39.75 | $37.75 | $38.47 | 195 724 |
Apr 17, 2020 | $38.89 | $40.27 | $38.34 | $40.27 | 178 162 |
Apr 16, 2020 | $37.85 | $37.97 | $37.13 | $37.58 | 259 103 |
Apr 15, 2020 | $39.72 | $39.83 | $37.30 | $37.57 | 243 942 |
Apr 14, 2020 | $40.30 | $40.68 | $39.06 | $39.94 | 263 660 |
Apr 13, 2020 | $40.76 | $40.76 | $38.88 | $40.20 | 260 142 |
Apr 09, 2020 | $39.89 | $41.44 | $39.51 | $40.93 | 333 103 |
Apr 08, 2020 | $38.12 | $40.51 | $37.70 | $39.38 | 401 855 |
Apr 07, 2020 | $38.53 | $39.35 | $37.20 | $38.38 | 325 537 |
Apr 06, 2020 | $36.07 | $37.58 | $36.07 | $37.06 | 379 576 |
Apr 03, 2020 | $36.59 | $36.85 | $34.71 | $35.29 | 433 732 |
Apr 02, 2020 | $34.30 | $37.69 | $34.20 | $36.59 | 310 610 |
Apr 01, 2020 | $35.79 | $35.79 | $34.00 | $34.20 | 287 404 |
Mar 31, 2020 | $38.63 | $42.63 | $32.54 | $32.54 | 104 597 |
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 BIPC stock historical prices to predict future price movements?
Trend Analysis: Examine the BIPC 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 BIPC 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.