$11.62
-0.290 (-2.43%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $11.12 | $16.44 | Monday, 13th Jul 2026 SGML stock ended at $11.62. This is 2.43% less than the trading day before Friday, 10th Jul 2026. During the day the stock fluctuated 4.67% from a day low at $11.35 to a day high of $11.88. |
| 90 days | $11.12 | $24.48 | |
| 52 weeks | $4.62 | $24.48 |
Historical Sigma Lithium Corporation prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $11.73 | $11.88 | $11.35 | $11.62 | 1 310 208 |
| Jul 10, 2026 | $12.01 | $12.26 | $11.64 | $11.91 | 1 482 733 |
| Jul 09, 2026 | $11.43 | $11.96 | $11.43 | $11.82 | 1 530 280 |
| Jul 08, 2026 | $11.52 | $11.77 | $11.12 | $11.53 | 1 376 927 |
| Jul 07, 2026 | $12.01 | $12.16 | $11.42 | $11.80 | 1 460 615 |
| Jul 06, 2026 | $12.35 | $12.47 | $12.04 | $12.37 | 1 216 870 |
| Jul 02, 2026 | $12.55 | $13.12 | $12.05 | $12.29 | 1 408 453 |
| Jul 01, 2026 | $12.54 | $13.09 | $12.38 | $12.41 | 1 575 078 |
| Jun 30, 2026 | $12.44 | $12.91 | $12.43 | $12.65 | 2 001 386 |
| Jun 29, 2026 | $11.75 | $11.95 | $11.59 | $11.89 | 1 808 012 |
| Jun 26, 2026 | $11.85 | $11.95 | $11.51 | $11.71 | 1 535 347 |
| Jun 25, 2026 | $12.30 | $12.51 | $11.78 | $12.15 | 1 530 714 |
| Jun 24, 2026 | $12.79 | $13.03 | $12.17 | $12.48 | 2 327 431 |
| Jun 23, 2026 | $12.61 | $13.07 | $12.41 | $12.61 | 1 738 441 |
| Jun 22, 2026 | $13.53 | $13.53 | $12.92 | $13.30 | 2 391 019 |
| Jun 18, 2026 | $13.93 | $14.33 | $13.46 | $13.65 | 5 545 016 |
| Jun 17, 2026 | $14.79 | $15.64 | $14.53 | $14.80 | 1 240 151 |
| Jun 16, 2026 | $15.11 | $15.42 | $14.60 | $14.80 | 2 161 139 |
| Jun 15, 2026 | $16.01 | $16.44 | $15.34 | $15.40 | 2 543 892 |
| Jun 12, 2026 | $14.92 | $16.18 | $14.91 | $15.98 | 2 160 298 |
| Jun 11, 2026 | $13.33 | $14.87 | $13.25 | $14.73 | 2 762 833 |
| Jun 10, 2026 | $13.70 | $13.87 | $12.90 | $12.99 | 2 847 324 |
| Jun 09, 2026 | $14.42 | $14.50 | $13.51 | $14.15 | 3 426 207 |
| Jun 08, 2026 | $13.58 | $13.63 | $13.10 | $13.25 | 2 017 392 |
| Jun 05, 2026 | $14.41 | $14.43 | $13.26 | $13.28 | 2 537 193 |
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 SGML stock historical prices to predict future price movements?
Trend Analysis: Examine the SGML 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 SGML 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.
Sign In
Buy SGML