Iveda Solutions, Inc. Stock Price (Quote)
$0.796
-0.0368 (-4.42%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.756 | $0.95 | Friday, 17th May 2024 IVDA stock ended at $0.796. This is 4.42% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.33% from a day low at $0.790 to a day high of $0.84. |
90 days | $0.671 | $1.26 | |
52 weeks | $0.550 | $1.41 |
Date | Open | High | Low | Close | Volume |
Apr 14, 2023 | $1.49 | $1.60 | $1.41 | $1.50 | 499 705 |
Apr 13, 2023 | $1.29 | $1.53 | $1.27 | $1.44 | 412 102 |
Apr 12, 2023 | $1.35 | $1.35 | $1.27 | $1.30 | 77 287 |
Apr 11, 2023 | $1.24 | $1.39 | $1.24 | $1.32 | 124 410 |
Apr 10, 2023 | $1.25 | $1.29 | $1.22 | $1.26 | 147 147 |
Apr 06, 2023 | $1.21 | $1.32 | $1.21 | $1.27 | 164 578 |
Apr 05, 2023 | $1.32 | $1.33 | $1.21 | $1.23 | 135 539 |
Apr 04, 2023 | $1.42 | $1.54 | $1.25 | $1.32 | 426 401 |
Apr 03, 2023 | $1.28 | $1.43 | $1.23 | $1.39 | 400 684 |
Mar 31, 2023 | $1.20 | $1.40 | $1.15 | $1.33 | 458 427 |
Mar 30, 2023 | $1.14 | $1.25 | $1.13 | $1.20 | 79 024 |
Mar 29, 2023 | $1.15 | $1.23 | $1.14 | $1.16 | 69 334 |
Mar 28, 2023 | $1.21 | $1.32 | $1.13 | $1.19 | 122 056 |
Mar 27, 2023 | $1.10 | $1.33 | $1.10 | $1.24 | 208 149 |
Mar 24, 2023 | $1.13 | $1.19 | $1.11 | $1.17 | 158 774 |
Mar 23, 2023 | $1.25 | $1.27 | $1.07 | $1.14 | 268 506 |
Mar 22, 2023 | $1.28 | $1.35 | $1.20 | $1.29 | 418 372 |
Mar 21, 2023 | $1.09 | $1.29 | $1.07 | $1.19 | 591 376 |
Mar 20, 2023 | $1.05 | $1.12 | $1.01 | $1.09 | 160 449 |
Mar 17, 2023 | $1.00 | $1.06 | $0.99 | $1.03 | 126 053 |
Mar 16, 2023 | $1.01 | $1.04 | $0.97 | $1.03 | 130 977 |
Mar 15, 2023 | $1.04 | $1.05 | $0.97 | $1.00 | 135 805 |
Mar 14, 2023 | $0.97 | $1.07 | $0.97 | $1.03 | 145 089 |
Mar 13, 2023 | $1.00 | $1.05 | $0.96 | $1.00 | 167 123 |
Mar 10, 2023 | $1.09 | $1.10 | $1.01 | $1.02 | 175 792 |
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 IVDA stock historical prices to predict future price movements?
Trend Analysis: Examine the IVDA 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 IVDA 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.