NYSE:IDA
IDACORP Inc Stock Price (Quote)
$98.47
-0.490 (-0.495%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $89.61 | $99.21 | Friday, 17th May 2024 IDA stock ended at $98.47. This is 0.495% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.95% from a day low at $98.11 to a day high of $99.04. |
90 days | $86.47 | $99.21 | |
52 weeks | $86.47 | $107.47 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | $97.60 | $97.92 | $95.83 | $96.72 | 199 722 |
Oct 11, 2023 | $97.17 | $98.45 | $96.60 | $98.14 | 258 296 |
Oct 10, 2023 | $96.49 | $97.16 | $96.20 | $96.86 | 277 056 |
Oct 09, 2023 | $95.43 | $96.64 | $95.43 | $96.28 | 263 748 |
Oct 06, 2023 | $93.56 | $95.74 | $92.23 | $95.42 | 347 539 |
Oct 05, 2023 | $93.37 | $94.76 | $92.80 | $94.40 | 305 325 |
Oct 04, 2023 | $91.58 | $93.40 | $91.10 | $93.37 | 407 597 |
Oct 03, 2023 | $88.80 | $91.68 | $88.10 | $91.58 | 644 323 |
Oct 02, 2023 | $93.25 | $93.25 | $89.07 | $89.52 | 572 926 |
Sep 29, 2023 | $94.91 | $95.27 | $93.30 | $93.65 | 316 164 |
Sep 28, 2023 | $94.86 | $95.19 | $93.53 | $94.06 | 481 693 |
Sep 27, 2023 | $95.20 | $95.65 | $94.12 | $94.44 | 280 952 |
Sep 26, 2023 | $97.47 | $97.42 | $95.43 | $95.53 | 299 663 |
Sep 25, 2023 | $96.55 | $97.66 | $96.28 | $97.59 | 269 237 |
Sep 22, 2023 | $95.86 | $97.09 | $95.32 | $96.91 | 419 424 |
Sep 21, 2023 | $97.15 | $97.31 | $96.38 | $96.39 | 241 785 |
Sep 20, 2023 | $97.96 | $98.36 | $97.28 | $97.62 | 254 633 |
Sep 19, 2023 | $98.38 | $98.94 | $97.63 | $97.67 | 259 891 |
Sep 18, 2023 | $98.73 | $99.13 | $97.86 | $98.48 | 299 099 |
Sep 15, 2023 | $98.64 | $99.37 | $98.20 | $98.56 | 373 340 |
Sep 14, 2023 | $97.41 | $98.65 | $97.54 | $98.62 | 205 901 |
Sep 13, 2023 | $95.94 | $97.28 | $95.82 | $96.80 | 219 386 |
Sep 12, 2023 | $95.81 | $95.91 | $94.93 | $95.84 | 196 177 |
Sep 11, 2023 | $95.28 | $96.30 | $95.28 | $95.67 | 214 666 |
Sep 08, 2023 | $95.08 | $95.42 | $94.69 | $95.28 | 161 432 |
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 IDA stock historical prices to predict future price movements?
Trend Analysis: Examine the IDA 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 IDA 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.