$3.06
+0 (+0%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $2.36 | $3.44 | Monday, 13th Jul 2026 ANIX stock ended at $3.06. During the day the stock fluctuated 7.72% from a day low at $2.98 to a day high of $3.21. |
| 90 days | $2.32 | $3.44 | |
| 52 weeks | $2.32 | $5.46 |
Historical Anixa Biosciences Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $3.08 | $3.21 | $2.98 | $3.06 | 167 477 |
| Jul 10, 2026 | $3.21 | $3.23 | $2.96 | $3.06 | 191 551 |
| Jul 09, 2026 | $3.10 | $3.28 | $3.10 | $3.22 | 99 344 |
| Jul 08, 2026 | $2.96 | $3.16 | $2.96 | $3.11 | 180 275 |
| Jul 07, 2026 | $3.03 | $3.08 | $2.87 | $2.96 | 189 463 |
| Jul 06, 2026 | $3.15 | $3.26 | $3.02 | $3.05 | 270 953 |
| Jul 02, 2026 | $3.20 | $3.44 | $3.20 | $3.27 | 594 311 |
| Jul 01, 2026 | $2.76 | $3.21 | $2.74 | $3.14 | 393 401 |
| Jun 30, 2026 | $2.84 | $2.90 | $2.73 | $2.80 | 257 596 |
| Jun 29, 2026 | $2.80 | $2.85 | $2.59 | $2.85 | 431 414 |
| Jun 26, 2026 | $2.60 | $2.79 | $2.36 | $2.79 | 1 041 902 |
| Jun 25, 2026 | $2.80 | $2.83 | $2.58 | $2.62 | 299 950 |
| Jun 24, 2026 | $2.78 | $2.84 | $2.68 | $2.74 | 190 225 |
| Jun 23, 2026 | $2.74 | $2.87 | $2.70 | $2.76 | 126 658 |
| Jun 22, 2026 | $2.97 | $2.97 | $2.75 | $2.77 | 285 100 |
| Jun 18, 2026 | $2.76 | $2.93 | $2.60 | $2.91 | 585 195 |
| Jun 17, 2026 | $2.65 | $2.79 | $2.53 | $2.69 | 220 952 |
| Jun 16, 2026 | $2.58 | $2.65 | $2.53 | $2.61 | 237 744 |
| Jun 15, 2026 | $2.57 | $2.67 | $2.47 | $2.48 | 168 062 |
| Jun 12, 2026 | $2.49 | $2.55 | $2.41 | $2.47 | 145 791 |
| Jun 11, 2026 | $2.39 | $2.55 | $2.32 | $2.48 | 122 868 |
| Jun 10, 2026 | $2.45 | $2.48 | $2.35 | $2.35 | 109 878 |
| Jun 09, 2026 | $2.49 | $2.52 | $2.40 | $2.40 | 107 966 |
| Jun 08, 2026 | $2.52 | $2.53 | $2.44 | $2.46 | 122 028 |
| Jun 05, 2026 | $2.62 | $2.64 | $2.45 | $2.48 | 106 659 |
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 ANIX stock historical prices to predict future price movements?
Trend Analysis: Examine the ANIX 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 ANIX 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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