NYSE:SOI
Solaris Oilfield Infrastructure Inc. Stock Price (Quote)
$8.92
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.39 | $9.66 | Friday, 24th May 2024 SOI stock ended at $8.92. During the day the stock fluctuated 1.58% from a day low at $8.84 to a day high of $8.98. |
90 days | $7.49 | $9.66 | |
52 weeks | $6.59 | $11.33 |
Date | Open | High | Low | Close | Volume |
Sep 27, 2017 | $17.45 | $17.66 | $17.17 | $17.50 | 223 628 |
Sep 26, 2017 | $16.86 | $17.72 | $16.86 | $17.41 | 348 295 |
Sep 25, 2017 | $16.42 | $17.07 | $16.42 | $16.83 | 117 837 |
Sep 22, 2017 | $16.14 | $16.53 | $16.14 | $16.42 | 273 777 |
Sep 21, 2017 | $16.29 | $16.44 | $15.71 | $16.13 | 118 845 |
Sep 20, 2017 | $16.06 | $16.40 | $15.92 | $16.29 | 183 230 |
Sep 19, 2017 | $16.32 | $16.37 | $15.78 | $16.07 | 116 795 |
Sep 18, 2017 | $15.88 | $16.48 | $15.56 | $16.39 | 147 299 |
Sep 15, 2017 | $15.80 | $16.23 | $15.52 | $15.96 | 227 178 |
Sep 14, 2017 | $16.28 | $16.49 | $15.58 | $15.70 | 213 998 |
Sep 13, 2017 | $16.09 | $16.99 | $15.88 | $16.08 | 330 192 |
Sep 12, 2017 | $15.14 | $16.06 | $15.14 | $15.98 | 307 808 |
Sep 11, 2017 | $14.39 | $15.40 | $14.39 | $15.15 | 150 917 |
Sep 08, 2017 | $14.81 | $14.81 | $14.06 | $14.32 | 171 889 |
Sep 07, 2017 | $15.71 | $16.28 | $14.71 | $14.84 | 212 719 |
Sep 06, 2017 | $14.75 | $15.74 | $14.75 | $15.62 | 229 497 |
Sep 05, 2017 | $14.38 | $14.99 | $14.38 | $14.75 | 228 574 |
Sep 01, 2017 | $14.16 | $14.48 | $13.88 | $14.43 | 106 697 |
Aug 31, 2017 | $13.80 | $14.47 | $13.65 | $14.16 | 247 765 |
Aug 30, 2017 | $13.43 | $13.87 | $13.19 | $13.73 | 132 812 |
Aug 29, 2017 | $13.09 | $13.59 | $13.01 | $13.45 | 132 315 |
Aug 28, 2017 | $13.38 | $13.43 | $12.96 | $13.23 | 97 870 |
Aug 25, 2017 | $13.60 | $13.96 | $12.27 | $13.27 | 387 959 |
Aug 24, 2017 | $13.30 | $13.87 | $13.06 | $13.54 | 199 308 |
Aug 23, 2017 | $13.44 | $13.78 | $13.07 | $13.29 | 164 910 |
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 SOI stock historical prices to predict future price movements?
Trend Analysis: Examine the SOI 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 SOI 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.