NASDAQ:XLNX
Delisted
Xilinx Stock Price (Quote)
$194.92
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $194.92 | $194.92 | Wednesday, 17th Aug 2022 XLNX stock ended at $194.92. During the day the stock fluctuated 0% from a day low at $194.92 to a day high of $194.92. |
90 days | $194.92 | $194.92 | |
52 weeks | $138.60 | $239.79 |
Date | Open | High | Low | Close | Volume |
Dec 19, 2016 | $58.61 | $59.09 | $58.41 | $58.61 | 2 304 199 |
Dec 16, 2016 | $60.30 | $60.33 | $58.36 | $58.46 | 5 026 411 |
Dec 15, 2016 | $58.29 | $60.52 | $58.00 | $60.18 | 7 762 693 |
Dec 14, 2016 | $56.55 | $57.19 | $56.43 | $56.73 | 2 826 404 |
Dec 13, 2016 | $55.91 | $56.99 | $55.78 | $56.48 | 2 143 734 |
Dec 12, 2016 | $55.70 | $56.08 | $55.47 | $55.86 | 1 990 491 |
Dec 09, 2016 | $55.74 | $56.25 | $55.16 | $55.91 | 2 252 576 |
Dec 08, 2016 | $55.32 | $56.12 | $55.28 | $55.64 | 2 785 682 |
Dec 07, 2016 | $54.50 | $55.40 | $54.41 | $55.30 | 3 360 389 |
Dec 06, 2016 | $54.34 | $54.62 | $54.01 | $54.54 | 2 243 059 |
Dec 05, 2016 | $54.50 | $54.67 | $53.66 | $54.37 | 6 454 926 |
Dec 02, 2016 | $53.26 | $54.28 | $53.09 | $54.22 | 3 324 078 |
Dec 01, 2016 | $54.11 | $54.75 | $52.54 | $53.39 | 5 908 019 |
Nov 30, 2016 | $54.10 | $54.74 | $53.69 | $53.98 | 4 147 141 |
Nov 29, 2016 | $53.33 | $54.12 | $53.04 | $54.01 | 4 411 820 |
Nov 28, 2016 | $53.26 | $53.57 | $53.13 | $53.29 | 2 625 323 |
Nov 25, 2016 | $53.19 | $53.59 | $53.12 | $53.39 | 787 528 |
Nov 23, 2016 | $53.34 | $53.43 | $52.91 | $53.12 | 2 652 712 |
Nov 22, 2016 | $53.39 | $53.65 | $53.20 | $53.35 | 2 043 502 |
Nov 21, 2016 | $53.02 | $53.49 | $52.73 | $53.13 | 2 435 784 |
Nov 18, 2016 | $53.20 | $53.23 | $52.91 | $52.98 | 1 818 056 |
Nov 17, 2016 | $53.33 | $53.59 | $53.03 | $53.24 | 2 525 455 |
Nov 16, 2016 | $53.85 | $54.29 | $53.54 | $53.55 | 2 480 852 |
Nov 15, 2016 | $53.10 | $53.99 | $53.02 | $53.93 | 2 280 179 |
Nov 14, 2016 | $51.90 | $53.17 | $51.67 | $52.83 | 3 228 699 |
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 XLNX stock historical prices to predict future price movements?
Trend Analysis: Examine the XLNX 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 XLNX 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.