NASDAQ:APPF
AppFolio Stock Price (Quote)
$252.49
+5.92 (+2.40%)
At Close: Jan 15, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $238.29 | $264.98 | Wednesday, 15th Jan 2025 APPF stock ended at $252.49. This is 2.40% more than the trading day before Tuesday, 14th Jan 2025. During the day the stock fluctuated 1.72% from a day low at $250.19 to a day high of $254.49. |
90 days | $189.01 | $273.00 | |
52 weeks | $171.19 | $274.56 |
Historical AppFolio prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Jan 15, 2025 | $251.12 | $254.49 | $250.19 | $252.49 | 247 231 |
Jan 14, 2025 | $243.40 | $247.93 | $242.48 | $246.57 | 172 258 |
Jan 13, 2025 | $242.36 | $243.19 | $238.29 | $242.55 | 255 637 |
Jan 10, 2025 | $248.30 | $252.03 | $241.70 | $243.77 | 250 163 |
Jan 08, 2025 | $248.90 | $254.86 | $247.96 | $253.59 | 211 337 |
Jan 07, 2025 | $251.44 | $253.13 | $245.49 | $249.56 | 142 759 |
Jan 06, 2025 | $251.29 | $252.93 | $249.94 | $251.05 | 186 412 |
Jan 03, 2025 | $250.26 | $256.08 | $249.70 | $252.72 | 145 502 |
Jan 02, 2025 | $249.69 | $251.51 | $245.36 | $248.11 | 172 807 |
Dec 31, 2024 | $248.38 | $250.38 | $246.31 | $246.72 | 134 854 |
Dec 30, 2024 | $247.29 | $249.21 | $242.67 | $247.23 | 146 529 |
Dec 27, 2024 | $250.17 | $251.66 | $246.46 | $249.89 | 115 115 |
Dec 26, 2024 | $251.23 | $253.39 | $250.25 | $252.45 | 90 454 |
Dec 24, 2024 | $250.16 | $252.67 | $248.52 | $252.67 | 50 878 |
Dec 23, 2024 | $251.79 | $251.79 | $247.42 | $249.05 | 107 455 |
Dec 20, 2024 | $249.03 | $256.47 | $244.89 | $251.79 | 260 461 |
Dec 19, 2024 | $254.05 | $258.15 | $250.18 | $251.65 | 202 757 |
Dec 18, 2024 | $262.00 | $264.96 | $250.97 | $251.35 | 206 008 |
Dec 17, 2024 | $263.26 | $264.98 | $257.00 | $261.51 | 164 108 |
Dec 16, 2024 | $259.43 | $263.81 | $258.83 | $263.65 | 216 727 |
Dec 13, 2024 | $262.14 | $262.22 | $255.64 | $259.18 | 135 405 |
Dec 12, 2024 | $260.30 | $264.19 | $259.47 | $263.55 | 141 902 |
Dec 11, 2024 | $258.90 | $262.19 | $257.06 | $260.32 | 110 894 |
Dec 10, 2024 | $256.68 | $259.44 | $252.60 | $256.61 | 156 615 |
Dec 09, 2024 | $263.00 | $265.28 | $254.88 | $255.87 | 216 985 |
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 APPF stock historical prices to predict future price movements?
Trend Analysis: Examine the APPF 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 APPF 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.