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Range Low Price High Price Comment
30 days $1.45 $2.63 Friday, 14th Jun 2024 APPS stock ended at $1.47. This is 4.55% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 4.79% from a day low at $1.46 to a day high of $1.53.
90 days $1.45 $2.96
52 weeks $1.45 $11.46

Historical Digital Turbine prices

Date Open High Low Close Volume
Mar 09, 2020 $6.00 $6.74 $5.97 $6.14 3 151 780
Mar 06, 2020 $6.90 $7.10 $6.59 $6.70 3 321 126
Mar 05, 2020 $6.70 $7.28 $6.64 $7.14 4 877 091
Mar 04, 2020 $6.08 $6.95 $6.07 $6.92 5 115 661
Mar 03, 2020 $6.28 $6.31 $5.70 $5.84 4 451 782
Mar 02, 2020 $6.05 $6.30 $5.93 $6.26 3 321 800
Feb 28, 2020 $5.50 $6.14 $5.42 $6.13 4 008 360
Feb 27, 2020 $5.90 $6.08 $5.56 $5.77 2 794 566
Feb 26, 2020 $6.03 $6.56 $5.96 $6.15 2 646 692
Feb 25, 2020 $6.50 $6.51 $5.90 $5.95 3 012 219
Feb 24, 2020 $6.47 $6.57 $6.35 $6.44 2 358 357
Feb 21, 2020 $6.86 $6.98 $6.63 $6.80 1 335 758
Feb 20, 2020 $6.85 $7.06 $6.72 $6.91 1 530 943
Feb 19, 2020 $6.68 $6.96 $6.51 $6.86 1 938 721
Feb 18, 2020 $6.73 $6.90 $6.60 $6.65 1 421 633
Feb 14, 2020 $7.15 $7.30 $6.61 $6.77 2 991 789
Feb 13, 2020 $6.68 $7.37 $6.53 $7.02 4 848 649
Feb 12, 2020 $6.01 $6.83 $5.95 $6.79 3 873 589
Feb 11, 2020 $6.15 $6.25 $5.80 $5.90 5 320 368
Feb 10, 2020 $6.09 $6.56 $6.08 $6.46 3 268 232
Feb 07, 2020 $6.06 $6.17 $5.95 $6.00 1 999 528
Feb 06, 2020 $6.11 $6.29 $5.94 $6.08 2 984 411
Feb 05, 2020 $6.71 $6.73 $6.02 $6.11 3 676 788
Feb 04, 2020 $6.58 $6.73 $6.56 $6.61 1 896 894
Feb 03, 2020 $6.24 $6.54 $6.23 $6.50 1 531 381

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.

How can I use APPS stock historical prices to predict future price movements?
Trend Analysis: Examine the APPS 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.

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.

Why do the APPS 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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About Digital Turbine

Digital Turbine Digital Turbine, Inc., through its subsidiaries, operates a mobile growth platform for advertisers, publishers, carriers, and device original equipment manufacturers (OEMs). The company operates through three segments: On Device Media, In App Media – AdColony, and In App Media – Fyber. Its application media platform delivers mobile applications to various publishers, carriers, OEMs, and devices; and content media platform offers news, weather, ... APPS Profile

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