NASDAQ:XELA
Exela Stock Price (Quote)
$2.55
-0.0400 (-1.54%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.87 | $3.15 | Friday, 17th May 2024 XELA stock ended at $2.55. This is 1.54% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.65% from a day low at $2.50 to a day high of $2.77. |
90 days | $1.83 | $3.58 | |
52 weeks | $1.83 | $6.58 |
Date | Open | High | Low | Close | Volume |
May 19, 2023 | $6.38 | $6.45 | $4.90 | $4.91 | 4 218 056 |
May 18, 2023 | $7.10 | $7.96 | $6.00 | $6.35 | 10 059 566 |
May 17, 2023 | $6.51 | $8.85 | $5.70 | $6.65 | 47 321 212 |
May 16, 2023 | $2.95 | $7.89 | $2.66 | $6.28 | 54 838 888 |
May 15, 2023 | $4.50 | $4.50 | $2.62 | $3.08 | 4 889 404 |
May 12, 2023 | $6.14 | $6.42 | $5.00 | $5.00 | 874 044 |
May 11, 2023 | $6.20 | $6.48 | $6.06 | $6.12 | 225 396 |
May 10, 2023 | $6.34 | $6.38 | $6.18 | $6.34 | 179 455 |
May 09, 2023 | $6.48 | $6.60 | $6.26 | $6.34 | 202 350 |
May 08, 2023 | $6.34 | $6.58 | $6.22 | $6.42 | 245 851 |
May 05, 2023 | $6.06 | $6.60 | $6.06 | $6.24 | 384 334 |
May 04, 2023 | $6.56 | $6.56 | $6.00 | $6.04 | 486 761 |
May 03, 2023 | $7.10 | $7.10 | $6.48 | $6.50 | 485 658 |
May 02, 2023 | $6.96 | $7.70 | $6.80 | $7.30 | 479 732 |
May 01, 2023 | $6.80 | $6.92 | $6.60 | $6.90 | 355 203 |
Apr 28, 2023 | $7.16 | $7.58 | $6.66 | $6.80 | 440 618 |
Apr 27, 2023 | $7.26 | $7.26 | $6.64 | $6.72 | 284 402 |
Apr 26, 2023 | $7.30 | $7.58 | $6.60 | $7.14 | 358 651 |
Apr 25, 2023 | $7.90 | $8.24 | $7.22 | $7.30 | 324 017 |
Apr 24, 2023 | $8.06 | $8.20 | $7.66 | $7.94 | 248 217 |
Apr 21, 2023 | $8.14 | $8.88 | $7.80 | $8.22 | 339 405 |
Apr 20, 2023 | $8.40 | $8.80 | $7.74 | $7.88 | 297 300 |
Apr 19, 2023 | $8.50 | $8.76 | $8.04 | $8.50 | 303 910 |
Apr 18, 2023 | $9.20 | $9.72 | $8.90 | $9.00 | 313 316 |
Apr 17, 2023 | $10.00 | $10.36 | $8.84 | $9.10 | 638 768 |
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 XELA stock historical prices to predict future price movements?
Trend Analysis: Examine the XELA 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 XELA 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.