$339.00
-7.80 (-2.25%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $332.19 | $500.43 | Monday, 10th Aug 2026 APP stock ended at $339.00. This is 2.25% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 3.41% from a day low at $338.72 to a day high of $350.26. |
| 90 days | $332.19 | $622.00 | |
| 52 weeks | $332.19 | $742.11 |
Historical AppLovin Corporation prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | $346.61 | $350.26 | $338.72 | $339.00 | 6 216 218 |
| Aug 07, 2026 | $337.54 | $350.93 | $336.67 | $346.80 | 7 667 885 |
| Aug 06, 2026 | $338.45 | $352.00 | $332.19 | $335.67 | 15 235 900 |
| Aug 05, 2026 | $432.51 | $437.79 | $416.09 | $417.80 | 10 805 000 |
| Aug 04, 2026 | $418.33 | $426.90 | $405.33 | $419.70 | 7 149 634 |
| Aug 03, 2026 | $410.70 | $414.28 | $399.05 | $406.16 | 4 591 800 |
| Jul 31, 2026 | $396.10 | $398.11 | $377.71 | $395.90 | 15 443 673 |
| Jul 30, 2026 | $391.73 | $406.38 | $390.05 | $403.87 | 7 491 775 |
| Jul 29, 2026 | $413.54 | $420.85 | $397.15 | $399.46 | 5 594 693 |
| Jul 28, 2026 | $415.00 | $420.95 | $395.15 | $418.22 | 5 459 080 |
| Jul 27, 2026 | $404.75 | $417.58 | $401.45 | $412.73 | 5 114 245 |
| Jul 24, 2026 | $397.10 | $400.90 | $387.00 | $391.98 | 4 799 529 |
| Jul 23, 2026 | $414.26 | $414.89 | $396.56 | $398.86 | 5 360 215 |
| Jul 22, 2026 | $423.90 | $424.64 | $407.07 | $412.48 | 7 779 488 |
| Jul 21, 2026 | $419.09 | $434.60 | $418.33 | $428.69 | 4 822 728 |
| Jul 20, 2026 | $429.74 | $437.28 | $422.55 | $424.60 | 5 017 560 |
| Jul 17, 2026 | $427.03 | $431.39 | $413.67 | $424.54 | 5 625 552 |
| Jul 16, 2026 | $453.00 | $453.70 | $432.40 | $434.48 | 5 151 536 |
| Jul 15, 2026 | $449.30 | $462.69 | $444.16 | $452.73 | 4 627 044 |
| Jul 14, 2026 | $433.50 | $459.57 | $431.10 | $448.98 | 6 659 500 |
| Jul 13, 2026 | $498.33 | $500.43 | $433.71 | $442.85 | 10 322 349 |
| Jul 10, 2026 | $528.51 | $534.03 | $504.19 | $506.98 | 3 459 856 |
| Jul 09, 2026 | $504.95 | $529.88 | $500.50 | $520.43 | 4 686 419 |
| Jul 08, 2026 | $524.76 | $527.20 | $507.00 | $522.18 | 4 825 316 |
| Jul 07, 2026 | $541.55 | $548.00 | $518.10 | $527.98 | 4 988 322 |
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 APP stock historical prices to predict future price movements?
Trend Analysis: Examine the APP 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 APP 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.
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