NASDAQ:APPH
Delisted
AppHarvest, Inc. Stock Price (Quote)
$0.0666
+0 (+0%)
At Close: Nov 24, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0666 | $0.0666 | Friday, 24th Nov 2023 APPH stock ended at $0.0666. During the day the stock fluctuated 0% from a day low at $0.0666 to a day high of $0.0666. |
90 days | $0.0666 | $0.0666 | |
52 weeks | $0.0500 | $2.66 |
Historical AppHarvest, Inc. prices
Date | Open | High | Low | Close | Volume |
Nov 23, 2022 | $1.19 | $1.19 | $1.01 | $1.11 | 4 026 010 |
Nov 22, 2022 | $1.25 | $1.25 | $1.16 | $1.18 | 1 951 197 |
Nov 21, 2022 | $1.24 | $1.28 | $1.19 | $1.20 | 1 565 927 |
Nov 18, 2022 | $1.33 | $1.33 | $1.22 | $1.24 | 1 029 974 |
Nov 17, 2022 | $1.30 | $1.30 | $1.24 | $1.27 | 975 571 |
Nov 16, 2022 | $1.43 | $1.44 | $1.32 | $1.32 | 1 421 070 |
Nov 15, 2022 | $1.48 | $1.48 | $1.42 | $1.44 | 1 389 262 |
Nov 14, 2022 | $1.55 | $1.55 | $1.43 | $1.44 | 1 659 200 |
Nov 11, 2022 | $1.47 | $1.60 | $1.46 | $1.54 | 2 412 430 |
Nov 10, 2022 | $1.62 | $1.63 | $1.42 | $1.45 | 3 028 808 |
Nov 09, 2022 | $1.62 | $1.62 | $1.54 | $1.55 | 1 059 380 |
Nov 08, 2022 | $1.90 | $1.90 | $1.54 | $1.55 | 3 259 429 |
Nov 07, 2022 | $1.99 | $2.15 | $1.94 | $1.95 | 1 522 033 |
Nov 04, 2022 | $1.99 | $2.04 | $1.92 | $1.95 | 943 590 |
Nov 03, 2022 | $2.03 | $2.06 | $1.89 | $1.90 | 824 030 |
Nov 02, 2022 | $2.11 | $2.17 | $2.01 | $2.03 | 860 932 |
Nov 01, 2022 | $2.13 | $2.17 | $2.09 | $2.13 | 969 514 |
Oct 31, 2022 | $2.15 | $2.31 | $2.02 | $2.13 | 2 662 093 |
Oct 28, 2022 | $1.90 | $2.14 | $1.86 | $2.10 | 1 476 004 |
Oct 27, 2022 | $1.80 | $2.11 | $1.79 | $1.94 | 2 643 237 |
Oct 26, 2022 | $1.79 | $1.79 | $1.69 | $1.75 | 688 812 |
Oct 25, 2022 | $1.64 | $1.82 | $1.64 | $1.79 | 1 142 163 |
Oct 24, 2022 | $1.60 | $1.68 | $1.56 | $1.65 | 1 233 836 |
Oct 21, 2022 | $1.56 | $1.60 | $1.50 | $1.58 | 1 106 339 |
Oct 20, 2022 | $1.64 | $1.67 | $1.56 | $1.57 | 888 537 |
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 APPH stock historical prices to predict future price movements?
Trend Analysis: Examine the APPH 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 APPH 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.