$0.0422
-0.0014 (-3.21%)
At Close: Jun 22, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0343 | $0.0721 | Monday, 22nd Jun 2026 OSMOUSD stock ended at $0.0422. This is 3.21% less than the trading day before Sunday, 21st Jun 2026. During the day the stock fluctuated 6.94% from a day low at $0.0418 to a day high of $0.0447. |
| 90 days | $0.0291 | $0.0896 | |
| 52 weeks | $0.0291 | $0.235 |
Historical Osmosis USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 22, 2026 | $0.0434 | $0.0447 | $0.0418 | $0.0422 | 4 628 037 |
| Jun 21, 2026 | $0.0435 | $0.0438 | $0.0433 | $0.0436 | 3 810 187 |
| Jun 20, 2026 | $0.0440 | $0.0444 | $0.0438 | $0.0440 | 5 454 580 |
| Jun 19, 2026 | $0.0471 | $0.0476 | $0.0469 | $0.0476 | 16 347 062 |
| Jun 18, 2026 | $0.0446 | $0.0449 | $0.0445 | $0.0447 | 7 179 076 |
| Jun 17, 2026 | $0.0448 | $0.0449 | $0.0444 | $0.0445 | 5 178 022 |
| Jun 16, 2026 | $0.0464 | $0.0470 | $0.0452 | $0.0459 | 5 372 714 |
| Jun 15, 2026 | $0.0469 | $0.0494 | $0.0458 | $0.0461 | 5 702 368 |
| Jun 14, 2026 | $0.0471 | $0.0476 | $0.0452 | $0.0465 | 5 215 624 |
| Jun 13, 2026 | $0.0469 | $0.0504 | $0.0457 | $0.0467 | 6 078 660 |
| Jun 12, 2026 | $0.0466 | $0.0479 | $0.0450 | $0.0474 | 6 487 934 |
| Jun 11, 2026 | $0.0437 | $0.0480 | $0.0434 | $0.0467 | 7 623 289 |
| Jun 10, 2026 | $0.0437 | $0.0439 | $0.0432 | $0.0437 | 12 407 601 |
| Jun 09, 2026 | $0.0454 | $0.0454 | $0.0441 | $0.0442 | 18 590 907 |
| Jun 08, 2026 | $0.0434 | $0.0437 | $0.0421 | $0.0421 | 10 037 226 |
| Jun 07, 2026 | $0.0524 | $0.0524 | $0.0505 | $0.0511 | 38 022 894 |
| Jun 06, 2026 | $0.0366 | $0.0462 | $0.0343 | $0.0400 | 10 798 082 |
| Jun 05, 2026 | $0.0408 | $0.0485 | $0.0352 | $0.0372 | 16 141 681 |
| Jun 04, 2026 | $0.0408 | $0.0409 | $0.0408 | $0.0408 | 9 261 114 |
| Jun 03, 2026 | $0.0430 | $0.0560 | $0.0426 | $0.0445 | 1 415 |
| Jun 02, 2026 | $0.0473 | $0.0474 | $0.0424 | $0.0442 | 6 614 257 |
| Jun 01, 2026 | $0.0473 | $0.0474 | $0.0467 | $0.0467 | 6 481 294 |
| May 31, 2026 | $0.0526 | $0.0535 | $0.0487 | $0.0499 | 6 810 973 |
| May 30, 2026 | $0.0519 | $0.0536 | $0.0512 | $0.0526 | 6 874 302 |
| May 29, 2026 | $0.0538 | $0.0546 | $0.0506 | $0.0521 | 7 606 133 |
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 OSMOUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the OSMOUSD 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 OSMOUSD 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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