NASDAQ:NLST
Netlist Stock Price (Quote)
$1.66
+0.0230 (+1.40%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.17 | $2.00 | Monday, 20th May 2024 NLST stock ended at $1.66. This is 1.40% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 25.00% from a day low at $1.60 to a day high of $2.00. |
90 days | $1.00 | $2.00 | |
52 weeks | $1.00 | $4.84 |
Date | Open | High | Low | Close | Volume |
Dec 31, 2020 | $0.620 | $0.620 | $0.580 | $0.603 | 538 823 |
Dec 30, 2020 | $0.598 | $0.600 | $0.580 | $0.590 | 315 106 |
Dec 29, 2020 | $0.612 | $0.650 | $0.550 | $0.596 | 506 698 |
Dec 28, 2020 | $0.670 | $0.680 | $0.610 | $0.630 | 1 014 305 |
Dec 24, 2020 | $0.630 | $0.630 | $0.585 | $0.600 | 397 640 |
Dec 23, 2020 | $0.510 | $0.640 | $0.510 | $0.585 | 1 204 457 |
Dec 22, 2020 | $0.480 | $0.500 | $0.465 | $0.492 | 393 917 |
Dec 21, 2020 | $0.484 | $0.500 | $0.470 | $0.480 | 337 876 |
Dec 18, 2020 | $0.480 | $0.495 | $0.471 | $0.484 | 404 120 |
Dec 17, 2020 | $0.479 | $0.500 | $0.460 | $0.489 | 473 391 |
Dec 16, 2020 | $0.490 | $0.500 | $0.470 | $0.490 | 752 519 |
Dec 15, 2020 | $0.505 | $0.517 | $0.487 | $0.500 | 582 871 |
Dec 14, 2020 | $0.538 | $0.538 | $0.538 | $0.538 | 0 |
Dec 11, 2020 | $0.540 | $0.545 | $0.520 | $0.538 | 397 784 |
Dec 10, 2020 | $0.540 | $0.555 | $0.527 | $0.538 | 397 784 |
Dec 09, 2020 | $0.566 | $0.566 | $0.540 | $0.550 | 399 801 |
Dec 08, 2020 | $0.571 | $0.576 | $0.550 | $0.555 | 729 125 |
Dec 07, 2020 | $0.600 | $0.610 | $0.551 | $0.576 | 419 873 |
Dec 04, 2020 | $0.588 | $0.600 | $0.571 | $0.590 | 289 695 |
Dec 03, 2020 | $0.565 | $0.599 | $0.560 | $0.576 | 291 404 |
Dec 02, 2020 | $0.552 | $0.580 | $0.552 | $0.568 | 205 400 |
Dec 01, 2020 | $0.584 | $0.589 | $0.550 | $0.574 | 298 764 |
Nov 30, 2020 | $0.583 | $0.589 | $0.550 | $0.580 | 483 272 |
Nov 27, 2020 | $0.570 | $0.605 | $0.570 | $0.582 | 120 188 |
Nov 25, 2020 | $0.565 | $0.580 | $0.555 | $0.570 | 290 038 |
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 NLST stock historical prices to predict future price movements?
Trend Analysis: Examine the NLST 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 NLST 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.