$0.0453
+0.0008 (+1.70%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0396 | $0.0602 | Wednesday, 3rd Jun 2026 SYNUSD stock ended at $0.0453. This is 1.70% more than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 6.45% from a day low at $0.0435 to a day high of $0.0463. |
| 90 days | $0.0396 | $0.0649 | |
| 52 weeks | $0.0396 | $0.214 |
Historical SynLev USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $0.0450 | $0.0463 | $0.0435 | $0.0453 | 2 696 795 |
| Jun 02, 2026 | $0.0476 | $0.0485 | $0.0435 | $0.0445 | 3 309 058 |
| Jun 01, 2026 | $0.0464 | $0.0498 | $0.0455 | $0.0478 | 6 635 699 |
| May 31, 2026 | $0.0441 | $0.0452 | $0.0427 | $0.0450 | 2 394 585 |
| May 30, 2026 | $0.0428 | $0.0454 | $0.0427 | $0.0441 | 3 013 005 |
| May 29, 2026 | $0.0401 | $0.0446 | $0.0401 | $0.0428 | 3 431 525 |
| May 28, 2026 | $0.0414 | $0.0414 | $0.0396 | $0.0401 | 1 917 562 |
| May 27, 2026 | $0.0429 | $0.0430 | $0.0411 | $0.0414 | 2 183 140 |
| May 26, 2026 | $0.0441 | $0.0441 | $0.0422 | $0.0429 | 2 183 140 |
| May 25, 2026 | $0.0440 | $0.0454 | $0.0438 | $0.0441 | 2 493 855 |
| May 24, 2026 | $0.0468 | $0.0468 | $0.0433 | $0.0440 | 3 057 184 |
| May 23, 2026 | $0.0455 | $0.0476 | $0.0455 | $0.0468 | 3 057 184 |
| May 22, 2026 | $0.0517 | $0.0521 | $0.0438 | $0.0455 | 7 946 426 |
| May 21, 2026 | $0.0516 | $0.0525 | $0.0511 | $0.0517 | 7 683 316 |
| May 20, 2026 | $0.0497 | $0.0526 | $0.0496 | $0.0516 | 1 762 513 |
| May 19, 2026 | $0.0508 | $0.0508 | $0.0496 | $0.0497 | 2 745 146 |
| May 18, 2026 | $0.0508 | $0.0508 | $0.0496 | $0.0497 | 6 127 384 |
| May 17, 2026 | $0.0509 | $0.0559 | $0.0476 | $0.0483 | 6 388 258 |
| May 16, 2026 | $0.0512 | $0.0516 | $0.0485 | $0.0506 | 1 441 107 |
| May 15, 2026 | $0.0545 | $0.0554 | $0.0510 | $0.0515 | 1 692 226 |
| May 14, 2026 | $0.0547 | $0.0559 | $0.0534 | $0.0547 | 1 653 221 |
| May 13, 2026 | $0.0589 | $0.0600 | $0.0545 | $0.0549 | 1 679 036 |
| May 12, 2026 | $0.0598 | $0.0601 | $0.0577 | $0.0588 | 2 092 871 |
| May 11, 2026 | $0.0598 | $0.0601 | $0.0596 | $0.0597 | 1 874 190 |
| May 10, 2026 | $0.0575 | $0.0602 | $0.0565 | $0.0594 | 2 586 553 |
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 SYNUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the SYNUSD 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 SYNUSD 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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