$213.48
+1.47 (+0.693%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $203.52 | $286.49 | Wednesday, 3rd Jun 2026 OSIS stock ended at $213.48. This is 0.693% more than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 1.80% from a day low at $211.44 to a day high of $215.25. |
| 90 days | $203.52 | $311.27 | |
| 52 weeks | $203.52 | $311.27 |
Historical OSI Systems prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $213.14 | $215.25 | $211.44 | $213.48 | 159 106 |
| Jun 02, 2026 | $216.16 | $216.16 | $211.08 | $212.01 | 221 283 |
| Jun 01, 2026 | $217.18 | $217.39 | $212.03 | $213.37 | 274 560 |
| May 29, 2026 | $221.95 | $222.44 | $216.52 | $216.75 | 274 746 |
| May 28, 2026 | $217.39 | $222.29 | $216.08 | $221.16 | 194 226 |
| May 27, 2026 | $221.16 | $222.65 | $216.03 | $217.48 | 184 093 |
| May 26, 2026 | $222.50 | $223.10 | $216.33 | $220.97 | 239 615 |
| May 22, 2026 | $208.98 | $224.82 | $208.98 | $222.10 | 459 096 |
| May 21, 2026 | $210.78 | $213.48 | $203.52 | $207.86 | 342 730 |
| May 20, 2026 | $210.50 | $212.47 | $208.06 | $211.37 | 391 745 |
| May 19, 2026 | $206.98 | $211.95 | $206.08 | $209.01 | 317 777 |
| May 18, 2026 | $205.41 | $209.13 | $204.33 | $207.77 | 267 206 |
| May 15, 2026 | $211.18 | $214.05 | $204.94 | $205.40 | 364 661 |
| May 14, 2026 | $222.23 | $223.07 | $215.06 | $215.86 | 392 275 |
| May 13, 2026 | $229.24 | $229.24 | $213.88 | $218.49 | 386 333 |
| May 12, 2026 | $230.64 | $232.45 | $221.45 | $227.41 | 572 140 |
| May 11, 2026 | $230.01 | $237.32 | $226.50 | $231.92 | 412 679 |
| May 08, 2026 | $241.00 | $242.47 | $230.31 | $230.83 | 321 551 |
| May 07, 2026 | $239.90 | $244.67 | $233.05 | $241.11 | 521 542 |
| May 06, 2026 | $235.01 | $240.48 | $225.00 | $240.27 | 476 478 |
| May 05, 2026 | $276.89 | $276.89 | $232.50 | $234.74 | 1 192 889 |
| May 04, 2026 | $280.42 | $286.49 | $274.32 | $282.87 | 275 251 |
| May 01, 2026 | $287.80 | $289.40 | $279.43 | $282.50 | 185 185 |
| Apr 30, 2026 | $284.71 | $287.62 | $279.01 | $286.92 | 257 467 |
| Apr 29, 2026 | $287.71 | $293.52 | $279.98 | $281.84 | 186 682 |
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 OSIS stock historical prices to predict future price movements?
Trend Analysis: Examine the OSIS 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 OSIS 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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