NASDAQ:ADTH
AdTheorent Holding Company, Inc. Stock Price (Quote)
$3.19
+0 (+0%)
At Close: Jun 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.17 | $3.44 | Wednesday, 5th Jun 2024 ADTH stock ended at $3.19. During the day the stock fluctuated 0.313% from a day low at $3.19 to a day high of $3.20. |
90 days | $2.62 | $3.97 | |
52 weeks | $1.11 | $3.97 |
Historical AdTheorent Holding Company, Inc. prices
Date | Open | High | Low | Close | Volume |
Feb 16, 2024 | $2.87 | $2.91 | $2.74 | $2.84 | 172 277 |
Feb 15, 2024 | $2.81 | $3.00 | $2.80 | $2.85 | 269 488 |
Feb 14, 2024 | $2.79 | $2.84 | $2.75 | $2.80 | 131 145 |
Feb 13, 2024 | $2.70 | $2.84 | $2.58 | $2.79 | 165 774 |
Feb 12, 2024 | $2.71 | $2.89 | $2.69 | $2.74 | 196 579 |
Feb 09, 2024 | $2.60 | $2.73 | $2.57 | $2.69 | 132 446 |
Feb 08, 2024 | $2.54 | $2.73 | $2.54 | $2.66 | 120 858 |
Feb 07, 2024 | $2.71 | $2.73 | $2.64 | $2.67 | 128 042 |
Feb 06, 2024 | $2.70 | $2.81 | $2.63 | $2.73 | 193 986 |
Feb 05, 2024 | $2.73 | $2.92 | $2.52 | $2.63 | 192 131 |
Feb 02, 2024 | $2.74 | $2.80 | $2.68 | $2.80 | 124 470 |
Feb 01, 2024 | $2.76 | $2.84 | $2.70 | $2.75 | 144 310 |
Jan 31, 2024 | $2.84 | $2.85 | $2.62 | $2.72 | 170 888 |
Jan 30, 2024 | $2.84 | $2.86 | $2.76 | $2.84 | 257 887 |
Jan 29, 2024 | $2.84 | $2.89 | $2.74 | $2.84 | 242 649 |
Jan 26, 2024 | $2.91 | $3.02 | $2.78 | $2.85 | 336 970 |
Jan 25, 2024 | $2.82 | $3.00 | $2.70 | $2.88 | 453 997 |
Jan 24, 2024 | $2.57 | $2.80 | $2.51 | $2.78 | 343 900 |
Jan 23, 2024 | $2.54 | $2.66 | $2.52 | $2.57 | 296 338 |
Jan 22, 2024 | $2.44 | $2.54 | $2.31 | $2.50 | 415 559 |
Jan 19, 2024 | $2.28 | $2.35 | $2.22 | $2.31 | 178 733 |
Jan 18, 2024 | $2.00 | $2.35 | $1.99 | $2.25 | 369 976 |
Jan 17, 2024 | $2.06 | $2.35 | $1.97 | $2.23 | 396 361 |
Jan 16, 2024 | $1.90 | $2.14 | $1.80 | $2.04 | 220 610 |
Jan 12, 2024 | $1.92 | $1.93 | $1.85 | $1.89 | 58 793 |
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 ADTH stock historical prices to predict future price movements?
Trend Analysis: Examine the ADTH 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 ADTH 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.