$36.45
-1.36 (-3.60%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $36.08 | $41.27 | Monday, 17th Nov 2025 IOT stock ended at $36.45. This is 3.60% less than the trading day before Friday, 14th Nov 2025. During the day the stock fluctuated 4.74% from a day low at $36.08 to a day high of $37.79. |
| 90 days | $32.06 | $42.87 | |
| 52 weeks | $31.40 | $61.90 |
Historical Samsara Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $37.54 | $37.79 | $36.08 | $36.45 | 4 336 676 |
| Nov 14, 2025 | $37.73 | $39.18 | $37.69 | $37.81 | 2 692 736 |
| Nov 13, 2025 | $39.32 | $39.79 | $38.35 | $38.72 | 5 863 039 |
| Nov 12, 2025 | $39.84 | $40.38 | $39.29 | $39.44 | 4 609 004 |
| Nov 11, 2025 | $39.70 | $40.24 | $38.98 | $39.83 | 3 457 005 |
| Nov 10, 2025 | $39.71 | $40.14 | $38.71 | $39.83 | 3 249 956 |
| Nov 07, 2025 | $37.53 | $39.08 | $36.73 | $38.83 | 3 673 190 |
| Nov 06, 2025 | $38.79 | $39.00 | $36.98 | $38.10 | 4 169 141 |
| Nov 05, 2025 | $38.31 | $38.97 | $37.97 | $38.75 | 2 828 622 |
| Nov 04, 2025 | $39.58 | $39.83 | $38.07 | $38.72 | 4 668 156 |
| Nov 03, 2025 | $40.28 | $41.27 | $39.90 | $40.49 | 3 591 382 |
| Oct 31, 2025 | $38.93 | $40.31 | $38.58 | $40.17 | 4 395 279 |
| Oct 30, 2025 | $38.79 | $39.40 | $38.44 | $38.57 | 2 193 819 |
| Oct 29, 2025 | $39.54 | $40.36 | $39.20 | $39.32 | 2 379 751 |
| Oct 28, 2025 | $40.00 | $40.72 | $39.84 | $39.99 | 3 098 613 |
| Oct 27, 2025 | $39.95 | $40.09 | $39.60 | $39.91 | 2 102 540 |
| Oct 24, 2025 | $39.20 | $39.51 | $38.90 | $39.25 | 2 739 067 |
| Oct 23, 2025 | $38.05 | $38.77 | $38.03 | $38.65 | 1 684 788 |
| Oct 22, 2025 | $38.83 | $39.25 | $37.74 | $38.14 | 2 397 010 |
| Oct 21, 2025 | $37.42 | $39.22 | $37.05 | $39.15 | 5 569 942 |
| Oct 20, 2025 | $36.96 | $37.57 | $36.76 | $37.21 | 2 254 042 |
| Oct 17, 2025 | $36.03 | $36.73 | $35.84 | $36.54 | 2 527 696 |
| Oct 16, 2025 | $38.07 | $38.49 | $35.87 | $36.42 | 2 954 565 |
| Oct 15, 2025 | $38.41 | $38.50 | $37.26 | $37.71 | 3 618 679 |
| Oct 14, 2025 | $36.76 | $38.17 | $36.06 | $38.04 | 3 809 219 |
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 IOT stock historical prices to predict future price movements?
Trend Analysis: Examine the IOT 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 IOT 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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