NASDAQ:PSNL
Personalis Inc. Stock Price (Quote)
$1.36
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.26 | $1.67 | Friday, 14th Jun 2024 PSNL stock ended at $1.36. During the day the stock fluctuated 5.50% from a day low at $1.31 to a day high of $1.38. |
90 days | $1.18 | $1.85 | |
52 weeks | $0.89 | $2.41 |
Historical Personalis Inc. prices
Date | Open | High | Low | Close | Volume |
Nov 18, 2019 | $9.74 | $9.75 | $8.70 | $8.89 | 563 877 |
Nov 15, 2019 | $10.34 | $10.39 | $9.73 | $9.74 | 309 357 |
Nov 14, 2019 | $10.11 | $11.00 | $9.78 | $10.20 | 687 532 |
Nov 13, 2019 | $10.12 | $11.07 | $9.97 | $10.89 | 333 461 |
Nov 12, 2019 | $10.65 | $10.89 | $10.00 | $10.18 | 215 198 |
Nov 11, 2019 | $10.40 | $10.76 | $10.26 | $10.69 | 106 443 |
Nov 08, 2019 | $10.14 | $10.52 | $9.95 | $10.46 | 185 545 |
Nov 07, 2019 | $10.53 | $10.84 | $10.07 | $10.17 | 256 428 |
Nov 06, 2019 | $10.83 | $11.33 | $10.32 | $10.45 | 327 143 |
Nov 05, 2019 | $11.29 | $11.49 | $10.55 | $10.94 | 199 710 |
Nov 04, 2019 | $11.03 | $11.83 | $10.99 | $11.25 | 193 705 |
Nov 01, 2019 | $10.40 | $10.95 | $10.31 | $10.87 | 180 147 |
Oct 31, 2019 | $10.28 | $10.39 | $9.89 | $10.36 | 168 992 |
Oct 30, 2019 | $9.93 | $10.41 | $9.65 | $10.33 | 229 009 |
Oct 29, 2019 | $10.91 | $11.03 | $9.88 | $10.08 | 568 130 |
Oct 28, 2019 | $11.63 | $11.88 | $10.85 | $10.90 | 160 446 |
Oct 25, 2019 | $11.28 | $11.67 | $10.81 | $11.50 | 156 375 |
Oct 24, 2019 | $11.81 | $11.96 | $10.77 | $11.32 | 149 013 |
Oct 23, 2019 | $11.72 | $12.16 | $11.65 | $11.78 | 134 869 |
Oct 22, 2019 | $12.10 | $12.43 | $11.63 | $11.75 | 110 098 |
Oct 21, 2019 | $11.92 | $12.27 | $11.53 | $11.92 | 111 595 |
Oct 18, 2019 | $12.15 | $12.31 | $11.51 | $11.90 | 150 623 |
Oct 17, 2019 | $12.09 | $12.45 | $11.85 | $12.23 | 213 278 |
Oct 16, 2019 | $11.51 | $12.70 | $11.28 | $12.02 | 352 205 |
Oct 15, 2019 | $11.35 | $12.28 | $11.29 | $11.51 | 250 006 |
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.