$0.0349
+0.0001 (+0.300%)
At Close: Jul 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0340 | $0.0504 | Sunday, 12th Jul 2026 OSMOUSD stock ended at $0.0349. This is 0.300% more than the trading day before Saturday, 11th Jul 2026. During the day the stock fluctuated 2.90% from a day low at $0.0342 to a day high of $0.0352. |
| 90 days | $0.0299 | $0.0896 | |
| 52 weeks | $0.0291 | $0.209 |
Historical Osmosis USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 12, 2026 | $0.0352 | $0.0352 | $0.0342 | $0.0349 | 2 548 670 |
| Jul 11, 2026 | $0.0352 | $0.0352 | $0.0348 | $0.0348 | 3 418 255 |
| Jul 10, 2026 | $0.0355 | $0.0360 | $0.0354 | $0.0356 | 2 971 146 |
| Jul 09, 2026 | $0.0344 | $0.0344 | $0.0343 | $0.0343 | 2 904 543 |
| Jul 08, 2026 | $0.0351 | $0.0356 | $0.0340 | $0.0345 | 3 084 216 |
| Jul 07, 2026 | $0.0351 | $0.0362 | $0.0351 | $0.0357 | 4 870 142 |
| Jul 06, 2026 | $0.0370 | $0.0377 | $0.0364 | $0.0373 | 3 073 790 |
| Jul 05, 2026 | $0.0370 | $0.0376 | $0.0370 | $0.0372 | 2 690 899 |
| Jul 04, 2026 | $0.0378 | $0.0380 | $0.0376 | $0.0376 | 2 979 388 |
| Jul 03, 2026 | $0.0374 | $0.0378 | $0.0373 | $0.0373 | 3 882 604 |
| Jul 02, 2026 | $0.0366 | $0.0368 | $0.0366 | $0.0366 | 3 438 252 |
| Jul 01, 2026 | $0.0349 | $0.0365 | $0.0342 | $0.0361 | 3 801 039 |
| Jun 30, 2026 | $0.0363 | $0.0363 | $0.0347 | $0.0348 | 3 527 331 |
| Jun 29, 2026 | $0.0355 | $0.0367 | $0.0354 | $0.0362 | 3 261 365 |
| Jun 28, 2026 | $0.0355 | $0.0358 | $0.0354 | $0.0358 | 4 191 907 |
| Jun 27, 2026 | $0.0354 | $0.0360 | $0.0354 | $0.0358 | 6 549 183 |
| Jun 26, 2026 | $0.0386 | $0.0389 | $0.0384 | $0.0388 | 4 585 271 |
| Jun 25, 2026 | $0.0385 | $0.0389 | $0.0385 | $0.0386 | 4 318 356 |
| Jun 24, 2026 | $0.0411 | $0.0420 | $0.0379 | $0.0388 | 4 383 937 |
| Jun 23, 2026 | $0.0423 | $0.0435 | $0.0397 | $0.0411 | 5 240 928 |
| 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 |
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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