NASDAQ:PSNL
Personalis Inc. Stock Price (Quote)
$1.40
-0.0350 (-2.45%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.18 | $1.85 | Thursday, 16th May 2024 PSNL stock ended at $1.40. This is 2.45% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 11.36% from a day low at $1.32 to a day high of $1.47. |
90 days | $1.18 | $1.85 | |
52 weeks | $0.89 | $2.59 |
Date | Open | High | Low | Close | Volume |
Jan 30, 2024 | $1.54 | $1.54 | $1.40 | $1.40 | 283 035 |
Jan 29, 2024 | $1.37 | $1.54 | $1.37 | $1.53 | 468 542 |
Jan 26, 2024 | $1.49 | $1.54 | $1.37 | $1.37 | 530 265 |
Jan 25, 2024 | $1.61 | $1.61 | $1.44 | $1.50 | 423 561 |
Jan 24, 2024 | $1.65 | $1.67 | $1.57 | $1.57 | 232 559 |
Jan 23, 2024 | $1.63 | $1.75 | $1.61 | $1.63 | 259 121 |
Jan 22, 2024 | $1.50 | $1.67 | $1.50 | $1.61 | 432 003 |
Jan 19, 2024 | $1.63 | $1.64 | $1.50 | $1.50 | 570 651 |
Jan 18, 2024 | $1.79 | $1.81 | $1.61 | $1.62 | 326 095 |
Jan 17, 2024 | $1.59 | $1.77 | $1.59 | $1.75 | 982 275 |
Jan 16, 2024 | $1.75 | $1.77 | $1.55 | $1.65 | 992 460 |
Jan 12, 2024 | $1.79 | $1.83 | $1.70 | $1.74 | 352 184 |
Jan 11, 2024 | $2.00 | $2.00 | $1.79 | $1.81 | 435 963 |
Jan 10, 2024 | $2.12 | $2.12 | $1.92 | $1.99 | 436 234 |
Jan 09, 2024 | $2.14 | $2.31 | $2.06 | $2.13 | 447 145 |
Jan 08, 2024 | $2.16 | $2.25 | $2.01 | $2.19 | 388 637 |
Jan 05, 2024 | $2.08 | $2.21 | $1.88 | $2.14 | 542 755 |
Jan 04, 2024 | $1.96 | $2.09 | $1.95 | $2.00 | 258 351 |
Jan 03, 2024 | $2.14 | $2.15 | $1.90 | $1.95 | 644 199 |
Jan 02, 2024 | $2.13 | $2.35 | $2.03 | $2.04 | 842 159 |
Dec 29, 2023 | $2.36 | $2.36 | $1.96 | $2.10 | 1 101 616 |
Dec 28, 2023 | $2.03 | $2.38 | $2.00 | $2.35 | 1 157 607 |
Dec 27, 2023 | $1.81 | $2.15 | $1.68 | $2.03 | 1 480 317 |
Dec 26, 2023 | $1.52 | $1.83 | $1.52 | $1.75 | 952 784 |
Dec 22, 2023 | $1.49 | $1.54 | $1.41 | $1.47 | 336 502 |
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 PSNL stock historical prices to predict future price movements?
Trend Analysis: Examine the PSNL 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 PSNL 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.