CRYPTO:IOTAUSD
IOTA USD Cryptocurrency Price (Quote)
$0.212
+0.0084 (+4.14%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.200 | $0.266 | Friday, 17th May 2024 IOTAUSD stock ended at $0.212. This is 4.14% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.33% from a day low at $0.208 to a day high of $0.217. |
90 days | $0.200 | $0.420 | |
52 weeks | $0.166 | $0.420 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | $0.215 | $0.217 | $0.208 | $0.212 | 3 733 831 |
May 16, 2024 | $0.203 | $0.203 | $0.203 | $0.203 | 0 |
May 15, 2024 | $0.208 | $0.210 | $0.201 | $0.203 | 5 150 647 |
May 14, 2024 | $0.207 | $0.212 | $0.200 | $0.208 | 12 490 270 |
May 13, 2024 | $0.210 | $0.212 | $0.207 | $0.208 | 1 713 307 |
May 12, 2024 | $0.213 | $0.216 | $0.210 | $0.210 | 8 347 005 |
May 11, 2024 | $0.227 | $0.230 | $0.211 | $0.212 | 4 782 128 |
May 10, 2024 | $0.217 | $0.229 | $0.215 | $0.227 | 13 472 637 |
May 09, 2024 | $0.218 | $0.223 | $0.213 | $0.219 | 5 661 613 |
May 08, 2024 | $0.227 | $0.230 | $0.218 | $0.218 | 15 896 409 |
May 07, 2024 | $0.228 | $0.239 | $0.223 | $0.230 | 8 609 270 |
May 06, 2024 | $0.227 | $0.232 | $0.222 | $0.228 | 21 058 722 |
May 05, 2024 | $0.227 | $0.230 | $0.225 | $0.230 | 3 580 108 |
May 04, 2024 | $0.219 | $0.229 | $0.216 | $0.227 | 12 122 275 |
May 03, 2024 | $0.213 | $0.223 | $0.207 | $0.221 | 4 624 503 |
May 02, 2024 | $0.213 | $0.217 | $0.200 | $0.214 | 13 892 049 |
May 01, 2024 | $0.224 | $0.228 | $0.205 | $0.208 | 4 875 296 |
Apr 30, 2024 | $0.229 | $0.231 | $0.219 | $0.224 | 13 790 695 |
Apr 29, 2024 | $0.235 | $0.239 | $0.227 | $0.229 | 4 575 007 |
Apr 28, 2024 | $0.231 | $0.237 | $0.219 | $0.235 | 4 726 198 |
Apr 27, 2024 | $0.238 | $0.239 | $0.227 | $0.231 | 13 868 599 |
Apr 26, 2024 | $0.240 | $0.243 | $0.229 | $0.241 | 5 564 232 |
Apr 25, 2024 | $0.252 | $0.266 | $0.235 | $0.240 | 19 676 534 |
Apr 24, 2024 | $0.245 | $0.249 | $0.237 | $0.249 | 6 306 536 |
Apr 23, 2024 | $0.238 | $0.248 | $0.237 | $0.245 | 17 586 776 |
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 IOTAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the IOTAUSD 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 IOTAUSD 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.