$89.19
-0.95 (-1.05%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $84.35 | $91.29 | Tuesday, 23rd Jun 2026 XSMO stock ended at $89.19. This is 1.05% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 2.31% from a day low at $87.74 to a day high of $89.77. |
| 90 days | $73.24 | $91.29 | |
| 52 weeks | $66.13 | $91.29 |
Historical Invesco S&P SmallCap Momentum ETF prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $87.96 | $89.77 | $87.74 | $89.19 | 193 859 |
| Jun 22, 2026 | $90.07 | $90.34 | $89.46 | $90.14 | 313 309 |
| Jun 18, 2026 | $89.99 | $90.06 | $88.84 | $89.98 | 240 290 |
| Jun 17, 2026 | $89.15 | $89.84 | $88.00 | $88.33 | 248 984 |
| Jun 16, 2026 | $90.29 | $90.53 | $88.64 | $88.93 | 267 929 |
| Jun 15, 2026 | $91.07 | $91.29 | $89.46 | $89.99 | 174 270 |
| Jun 12, 2026 | $89.23 | $90.55 | $88.88 | $89.72 | 218 122 |
| Jun 11, 2026 | $86.40 | $88.74 | $86.24 | $88.64 | 302 220 |
| Jun 10, 2026 | $86.42 | $87.58 | $85.23 | $85.37 | 261 369 |
| Jun 09, 2026 | $87.67 | $88.41 | $84.35 | $86.59 | 379 300 |
| Jun 08, 2026 | $87.51 | $87.51 | $86.38 | $86.66 | 148 960 |
| Jun 05, 2026 | $87.90 | $88.23 | $85.67 | $86.09 | 178 642 |
| Jun 04, 2026 | $87.21 | $89.13 | $86.75 | $88.75 | 145 200 |
| Jun 03, 2026 | $87.88 | $88.35 | $87.34 | $87.68 | 214 782 |
| Jun 02, 2026 | $87.05 | $88.42 | $87.03 | $88.17 | 163 391 |
| Jun 01, 2026 | $87.35 | $88.28 | $86.22 | $86.91 | 243 703 |
| May 29, 2026 | $88.69 | $88.90 | $87.71 | $88.13 | 235 733 |
| May 28, 2026 | $88.93 | $89.40 | $88.14 | $89.07 | 220 809 |
| May 27, 2026 | $89.23 | $89.37 | $88.32 | $89.21 | 240 167 |
| May 26, 2026 | $87.34 | $88.93 | $87.17 | $88.83 | 237 600 |
| May 22, 2026 | $85.73 | $86.42 | $85.23 | $86.06 | 154 949 |
| May 21, 2026 | $84.51 | $85.60 | $84.23 | $85.24 | 209 703 |
| May 20, 2026 | $83.74 | $85.33 | $83.55 | $85.19 | 212 200 |
| May 19, 2026 | $83.80 | $84.04 | $82.36 | $83.34 | 201 700 |
| May 18, 2026 | $85.26 | $85.32 | $83.78 | $84.14 | 222 600 |
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 XSMO stock historical prices to predict future price movements?
Trend Analysis: Examine the XSMO 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 XSMO 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.
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