NASDAQ:XCRA
Delisted
Xcerra Corporation Fund Price (Quote)
$14.27
+0 (+0%)
At Close: Oct 26, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $13.50 | $14.29 | Friday, 26th Oct 2018 XCRA stock ended at $14.27. During the day the stock fluctuated 0% from a day low at $14.27 to a day high of $14.27. |
90 days | $13.18 | $14.87 | |
52 weeks | $9.50 | $14.87 |
Historical Xcerra Corporation prices
Date | Open | High | Low | Close | Volume |
Jan 12, 2018 | $10.01 | $10.06 | $10.00 | $10.05 | 594 887 |
Jan 11, 2018 | $10.00 | $10.15 | $10.00 | $10.04 | 291 431 |
Jan 10, 2018 | $10.00 | $10.07 | $9.99 | $10.02 | 161 156 |
Jan 09, 2018 | $10.04 | $10.06 | $10.00 | $10.01 | 466 937 |
Jan 08, 2018 | $10.00 | $10.06 | $9.97 | $10.04 | 693 621 |
Jan 05, 2018 | $9.94 | $10.06 | $9.93 | $10.00 | 627 633 |
Jan 04, 2018 | $9.95 | $9.97 | $9.92 | $9.93 | 513 194 |
Jan 03, 2018 | $9.89 | $9.96 | $9.87 | $9.95 | 377 487 |
Jan 02, 2018 | $9.84 | $9.92 | $9.83 | $9.90 | 235 107 |
Dec 29, 2017 | $9.80 | $9.88 | $9.78 | $9.79 | 327 202 |
Dec 28, 2017 | $9.80 | $9.90 | $9.80 | $9.80 | 214 401 |
Dec 27, 2017 | $9.86 | $9.90 | $9.69 | $9.80 | 468 684 |
Dec 26, 2017 | $9.86 | $9.90 | $9.85 | $9.86 | 229 976 |
Dec 22, 2017 | $9.90 | $9.94 | $9.85 | $9.89 | 402 678 |
Dec 21, 2017 | $9.96 | $9.96 | $9.90 | $9.92 | 199 840 |
Dec 20, 2017 | $9.98 | $9.98 | $9.92 | $9.94 | 211 899 |
Dec 19, 2017 | $9.92 | $10.00 | $9.91 | $9.93 | 741 860 |
Dec 18, 2017 | $9.92 | $9.97 | $9.90 | $9.92 | 372 909 |
Dec 15, 2017 | $9.91 | $9.93 | $9.88 | $9.91 | 505 823 |
Dec 14, 2017 | $9.87 | $9.92 | $9.86 | $9.92 | 279 122 |
Dec 13, 2017 | $9.93 | $9.93 | $9.86 | $9.89 | 180 659 |
Dec 12, 2017 | $9.93 | $9.95 | $9.84 | $9.89 | 270 321 |
Dec 11, 2017 | $10.00 | $10.05 | $9.86 | $9.90 | 317 230 |
Dec 08, 2017 | $9.93 | $9.94 | $9.87 | $9.90 | 178 398 |
Dec 07, 2017 | $9.92 | $9.95 | $9.87 | $9.92 | 318 620 |
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 XCRA stock historical prices to predict future price movements?
Trend Analysis: Examine the XCRA 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 XCRA 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.