NYSE:ARNC
Delisted
Arconic Inc Stock Price (Quote)
$29.99
+0 (+0%)
At Close: Nov 16, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.99 | $29.99 | Thursday, 16th Nov 2023 ARNC stock ended at $29.99. During the day the stock fluctuated 0% from a day low at $29.99 to a day high of $29.99. |
90 days | $29.99 | $29.99 | |
52 weeks | $19.70 | $30.02 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2023 | $22.99 | $23.78 | $22.94 | $23.51 | 1 020 158 |
Jan 30, 2023 | $23.00 | $23.24 | $22.81 | $22.94 | 336 931 |
Jan 27, 2023 | $23.41 | $23.60 | $23.19 | $23.38 | 444 770 |
Jan 26, 2023 | $23.58 | $23.95 | $23.24 | $23.50 | 700 334 |
Jan 25, 2023 | $22.93 | $23.44 | $22.73 | $23.39 | 484 440 |
Jan 24, 2023 | $23.25 | $23.56 | $22.95 | $23.27 | 323 648 |
Jan 23, 2023 | $23.40 | $23.64 | $23.21 | $23.43 | 385 016 |
Jan 20, 2023 | $23.09 | $23.59 | $22.84 | $23.38 | 508 500 |
Jan 19, 2023 | $23.06 | $23.28 | $22.73 | $23.00 | 334 000 |
Jan 18, 2023 | $24.07 | $24.44 | $23.09 | $23.33 | 798 639 |
Jan 17, 2023 | $23.67 | $24.04 | $23.58 | $23.66 | 1 190 700 |
Jan 13, 2023 | $23.28 | $23.75 | $23.28 | $23.67 | 576 983 |
Jan 12, 2023 | $23.37 | $23.67 | $22.99 | $23.53 | 491 949 |
Jan 11, 2023 | $23.19 | $23.28 | $22.94 | $23.10 | 374 400 |
Jan 10, 2023 | $22.50 | $23.10 | $22.36 | $22.99 | 526 048 |
Jan 09, 2023 | $22.85 | $23.29 | $22.54 | $22.55 | 579 305 |
Jan 06, 2023 | $21.98 | $22.78 | $21.78 | $22.41 | 435 000 |
Jan 05, 2023 | $21.62 | $21.89 | $21.19 | $21.63 | 465 964 |
Jan 04, 2023 | $21.30 | $22.09 | $21.29 | $21.61 | 585 179 |
Jan 03, 2023 | $21.34 | $21.75 | $20.99 | $21.19 | 357 733 |
Dec 30, 2022 | $21.01 | $21.31 | $20.91 | $21.16 | 327 756 |
Dec 29, 2022 | $20.80 | $21.22 | $20.78 | $21.21 | 418 145 |
Dec 28, 2022 | $21.23 | $21.42 | $20.48 | $20.53 | 461 414 |
Dec 27, 2022 | $21.61 | $21.61 | $21.12 | $21.19 | 310 810 |
Dec 23, 2022 | $21.32 | $21.54 | $21.15 | $21.53 | 296 697 |
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 ARNC stock historical prices to predict future price movements?
Trend Analysis: Examine the ARNC 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 ARNC 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.