$3.07
-0.220 (-6.69%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $1.83 | $6.19 | Tuesday, 23rd Jun 2026 ANY stock ended at $3.07. This is 6.69% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 4.27% from a day low at $3.04 to a day high of $3.17. |
| 90 days | $1.33 | $6.19 | |
| 52 weeks | $1.08 | $12.60 |
Historical Sphere 3D Corp. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $3.13 | $3.17 | $3.04 | $3.07 | 177 016 |
| Jun 22, 2026 | $3.50 | $3.59 | $3.16 | $3.29 | 392 624 |
| Jun 18, 2026 | $4.20 | $4.21 | $3.40 | $3.43 | 797 995 |
| Jun 17, 2026 | $3.60 | $4.29 | $3.42 | $4.19 | 1 256 311 |
| Jun 16, 2026 | $3.10 | $3.53 | $3.05 | $3.48 | 960 798 |
| Jun 15, 2026 | $3.06 | $3.24 | $2.97 | $3.12 | 458 139 |
| Jun 12, 2026 | $3.05 | $3.15 | $2.75 | $2.83 | 328 540 |
| Jun 11, 2026 | $2.87 | $3.19 | $2.74 | $3.17 | 595 333 |
| Jun 10, 2026 | $3.06 | $3.15 | $2.75 | $2.86 | 350 525 |
| Jun 09, 2026 | $3.50 | $3.72 | $2.94 | $3.11 | 607 459 |
| Jun 08, 2026 | $4.02 | $4.06 | $3.34 | $3.44 | 783 404 |
| Jun 05, 2026 | $4.24 | $4.69 | $4.00 | $4.04 | 1 401 839 |
| Jun 04, 2026 | $4.76 | $4.87 | $3.81 | $4.34 | 3 030 031 |
| Jun 03, 2026 | $3.68 | $6.19 | $3.60 | $5.65 | 26 689 956 |
| Jun 02, 2026 | $4.17 | $4.47 | $3.38 | $3.91 | 13 338 319 |
| Jun 01, 2026 | $3.17 | $4.83 | $2.86 | $4.02 | 115 798 606 |
| May 29, 2026 | $1.90 | $1.95 | $1.88 | $1.90 | 181 686 |
| May 28, 2026 | $1.92 | $2.01 | $1.87 | $1.92 | 130 549 |
| May 27, 2026 | $1.90 | $1.93 | $1.85 | $1.90 | 96 764 |
| May 26, 2026 | $1.90 | $1.97 | $1.83 | $1.86 | 133 436 |
| May 22, 2026 | $1.94 | $2.05 | $1.85 | $1.89 | 118 329 |
| May 21, 2026 | $1.92 | $1.95 | $1.85 | $1.93 | 136 346 |
| May 20, 2026 | $1.82 | $1.90 | $1.75 | $1.84 | 128 363 |
| May 19, 2026 | $1.69 | $1.86 | $1.69 | $1.80 | 89 238 |
| May 18, 2026 | $2.19 | $2.23 | $1.60 | $1.68 | 574 782 |
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 ANY stock historical prices to predict future price movements?
Trend Analysis: Examine the ANY 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 ANY 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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