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Range Low Price High Price Comment
30 days $1.80 $2.63 Friday, 31st May 2024 APPS stock ended at $1.89. This is 2.58% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 16.58% from a day low at $1.87 to a day high of $2.18.
90 days $1.78 $3.28
52 weeks $1.78 $11.46

Historical Digital Turbine prices

Date Open High Low Close Volume
Apr 06, 2017 $0.91 $0.93 $0.91 $0.92 110 457
Apr 05, 2017 $0.94 $0.94 $0.91 $0.92 176 357
Apr 04, 2017 $0.94 $0.94 $0.91 $0.91 185 401
Apr 03, 2017 $0.95 $0.95 $0.91 $0.91 193 190
Mar 31, 2017 $0.98 $0.99 $0.89 $0.94 328 163
Mar 30, 2017 $0.96 $0.98 $0.95 $0.96 277 906
Mar 29, 2017 $0.91 $0.95 $0.86 $0.94 276 998
Mar 28, 2017 $0.89 $0.90 $0.88 $0.88 199 046
Mar 27, 2017 $0.92 $0.92 $0.88 $0.91 249 239
Mar 24, 2017 $0.93 $0.96 $0.90 $0.92 585 654
Mar 23, 2017 $0.90 $0.97 $0.90 $0.95 303 300
Mar 22, 2017 $0.92 $0.92 $0.88 $0.90 39 972
Mar 21, 2017 $0.90 $0.92 $0.86 $0.88 134 520
Mar 20, 2017 $0.90 $0.92 $0.85 $0.88 79 296
Mar 17, 2017 $0.89 $0.93 $0.86 $0.91 65 925
Mar 16, 2017 $0.86 $0.95 $0.85 $0.90 208 492
Mar 15, 2017 $0.88 $0.90 $0.780 $0.86 44 337
Mar 14, 2017 $0.92 $0.92 $0.86 $0.89 91 174
Mar 13, 2017 $0.94 $0.94 $0.90 $0.92 130 398
Mar 10, 2017 $0.87 $0.91 $0.87 $0.89 262 658
Mar 09, 2017 $0.81 $0.88 $0.770 $0.87 115 375
Mar 08, 2017 $0.80 $0.84 $0.80 $0.82 217 898
Mar 07, 2017 $0.85 $0.86 $0.81 $0.81 125 500
Mar 06, 2017 $0.90 $0.90 $0.83 $0.85 123 876
Mar 03, 2017 $0.88 $0.92 $0.88 $0.90 96 128

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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