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 |
Oct 07, 2016 | $53.50 | $53.50 | $52.88 | $52.55 | 2 568 500 |
Oct 06, 2016 | $53.30 | $53.59 | $52.91 | $53.08 | 1 556 100 |
Oct 05, 2016 | $53.33 | $53.61 | $53.07 | $53.06 | 1 914 800 |
Oct 04, 2016 | $53.85 | $53.90 | $52.86 | $52.71 | 2 310 800 |
Oct 03, 2016 | $54.31 | $54.84 | $53.82 | $53.58 | 2 073 800 |
Sep 30, 2016 | $53.66 | $55.49 | $53.66 | $53.99 | 5 662 100 |
Sep 29, 2016 | $53.33 | $54.00 | $52.82 | $53.14 | 2 863 100 |
Sep 28, 2016 | $53.23 | $53.49 | $52.97 | $53.00 | 1 342 000 |
Sep 27, 2016 | $52.45 | $53.30 | $51.90 | $52.87 | 1 928 000 |
Sep 26, 2016 | $52.78 | $52.99 | $52.51 | $52.24 | 1 410 100 |
Sep 23, 2016 | $53.50 | $53.58 | $53.07 | $52.77 | 1 197 200 |
Sep 22, 2016 | $53.64 | $53.77 | $53.26 | $53.09 | 1 155 500 |
Sep 21, 2016 | $53.14 | $53.30 | $52.80 | $52.90 | 2 260 600 |
Sep 20, 2016 | $53.65 | $53.73 | $52.91 | $52.59 | 1 761 100 |
Sep 19, 2016 | $53.53 | $53.92 | $53.28 | $53.14 | 1 528 900 |
Sep 16, 2016 | $53.81 | $53.98 | $53.05 | $53.01 | 2 352 200 |
Sep 15, 2016 | $52.89 | $53.78 | $52.67 | $53.22 | 2 386 200 |
Sep 14, 2016 | $52.65 | $53.22 | $52.31 | $52.66 | 1 969 300 |
Sep 13, 2016 | $52.73 | $52.94 | $52.38 | $52.19 | 1 912 500 |
Sep 12, 2016 | $51.94 | $53.25 | $51.69 | $52.77 | 2 523 500 |
Sep 09, 2016 | $52.97 | $53.16 | $51.98 | $51.74 | 4 008 500 |
Sep 08, 2016 | $53.60 | $53.72 | $53.14 | $53.04 | 3 167 700 |
Sep 07, 2016 | $54.46 | $54.49 | $53.66 | $53.42 | 1 652 900 |
Sep 06, 2016 | $54.44 | $54.82 | $54.08 | $54.01 | 1 500 200 |
Sep 02, 2016 | $54.41 | $54.73 | $54.04 | $54.11 | 2 088 500 |
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.