NASDAQ:UPLD
Upland Software Stock Price (Quote)
$2.84
+0.160 (+5.97%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.90 | $3.63 | Wednesday, 22nd May 2024 UPLD stock ended at $2.84. This is 5.97% more than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 8.40% from a day low at $2.62 to a day high of $2.84. |
90 days | $1.90 | $4.64 | |
52 weeks | $1.90 | $5.28 |
Date | Open | High | Low | Close | Volume |
Apr 19, 2023 | $3.83 | $3.94 | $3.78 | $3.83 | 364 559 |
Apr 18, 2023 | $3.91 | $3.98 | $3.81 | $3.88 | 235 825 |
Apr 17, 2023 | $3.84 | $3.92 | $3.75 | $3.89 | 465 260 |
Apr 14, 2023 | $3.97 | $4.00 | $3.75 | $3.81 | 331 520 |
Apr 13, 2023 | $3.88 | $4.08 | $3.87 | $3.98 | 355 400 |
Apr 12, 2023 | $4.06 | $4.12 | $3.85 | $3.85 | 300 494 |
Apr 11, 2023 | $4.05 | $4.12 | $3.95 | $4.00 | 326 493 |
Apr 10, 2023 | $4.06 | $4.12 | $3.96 | $4.02 | 292 438 |
Apr 06, 2023 | $3.99 | $4.11 | $3.88 | $4.09 | 379 015 |
Apr 05, 2023 | $4.04 | $4.13 | $3.97 | $3.99 | 270 428 |
Apr 04, 2023 | $4.09 | $4.18 | $4.00 | $4.09 | 395 559 |
Apr 03, 2023 | $4.30 | $4.39 | $4.03 | $4.11 | 481 969 |
Mar 31, 2023 | $4.08 | $4.36 | $4.07 | $4.30 | 1 213 408 |
Mar 30, 2023 | $4.22 | $4.24 | $4.03 | $4.07 | 286 411 |
Mar 29, 2023 | $4.06 | $4.20 | $4.02 | $4.15 | 419 790 |
Mar 28, 2023 | $4.15 | $4.20 | $3.97 | $3.99 | 367 067 |
Mar 27, 2023 | $4.25 | $4.28 | $4.15 | $4.20 | 286 895 |
Mar 24, 2023 | $4.09 | $4.22 | $4.05 | $4.22 | 479 000 |
Mar 23, 2023 | $4.31 | $4.40 | $4.10 | $4.16 | 493 346 |
Mar 22, 2023 | $4.57 | $4.58 | $4.21 | $4.21 | 379 253 |
Mar 21, 2023 | $4.33 | $4.66 | $4.30 | $4.59 | 546 155 |
Mar 20, 2023 | $4.48 | $4.48 | $4.18 | $4.25 | 424 381 |
Mar 17, 2023 | $4.56 | $4.69 | $4.30 | $4.44 | 574 355 |
Mar 16, 2023 | $4.71 | $4.82 | $4.65 | $4.72 | 390 596 |
Mar 15, 2023 | $4.59 | $4.94 | $4.59 | $4.77 | 510 431 |
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 UPLD stock historical prices to predict future price movements?
Trend Analysis: Examine the UPLD 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 UPLD 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.