NASDAQ:PDFS
PDF Solutions Stock Price (Quote)
$34.37
+0.610 (+1.81%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.21 | $35.08 | Friday, 17th May 2024 PDFS stock ended at $34.37. This is 1.81% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.26% from a day low at $33.67 to a day high of $34.43. |
90 days | $29.21 | $35.89 | |
52 weeks | $26.12 | $48.01 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $30.61 | $30.96 | $30.46 | $30.54 | 123 614 |
Nov 15, 2023 | $30.64 | $31.83 | $30.60 | $30.79 | 359 247 |
Nov 14, 2023 | $30.49 | $30.80 | $30.33 | $30.62 | 219 975 |
Nov 13, 2023 | $28.67 | $29.64 | $28.53 | $29.51 | 229 353 |
Nov 10, 2023 | $28.59 | $29.35 | $28.11 | $28.93 | 329 819 |
Nov 09, 2023 | $29.00 | $29.46 | $27.73 | $28.22 | 526 699 |
Nov 08, 2023 | $28.00 | $28.71 | $27.90 | $28.70 | 579 849 |
Nov 07, 2023 | $27.71 | $27.98 | $27.50 | $27.90 | 178 164 |
Nov 06, 2023 | $27.47 | $27.97 | $27.33 | $27.82 | 303 958 |
Nov 03, 2023 | $27.47 | $28.00 | $27.30 | $27.47 | 137 381 |
Nov 02, 2023 | $27.29 | $27.30 | $26.82 | $27.00 | 100 092 |
Nov 01, 2023 | $26.51 | $26.74 | $26.28 | $26.71 | 126 729 |
Oct 31, 2023 | $26.57 | $27.35 | $26.12 | $26.53 | 146 711 |
Oct 30, 2023 | $27.36 | $28.10 | $26.17 | $26.40 | 175 719 |
Oct 27, 2023 | $27.26 | $28.26 | $27.14 | $27.29 | 177 473 |
Oct 26, 2023 | $27.29 | $27.41 | $26.50 | $27.06 | 421 646 |
Oct 25, 2023 | $28.59 | $28.59 | $27.26 | $27.28 | 170 902 |
Oct 24, 2023 | $28.90 | $29.10 | $28.49 | $29.06 | 127 915 |
Oct 23, 2023 | $28.67 | $29.06 | $28.34 | $28.62 | 191 376 |
Oct 20, 2023 | $29.51 | $29.51 | $28.50 | $28.66 | 208 800 |
Oct 19, 2023 | $30.37 | $30.37 | $29.41 | $29.42 | 223 125 |
Oct 18, 2023 | $30.27 | $30.57 | $29.85 | $30.05 | 217 313 |
Oct 17, 2023 | $29.97 | $30.83 | $29.93 | $30.62 | 177 798 |
Oct 16, 2023 | $30.47 | $30.73 | $30.18 | $30.36 | 128 255 |
Oct 13, 2023 | $31.73 | $31.73 | $30.14 | $30.21 | 123 514 |
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 PDFS stock historical prices to predict future price movements?
Trend Analysis: Examine the PDFS 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 PDFS 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.