NYSE:SMI
Delisted
Semiconductor Manufacturing ETF Price (Quote)
$5.41
+0 (+0%)
At Close: Sep 19, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.41 | $5.41 | Thursday, 19th Sep 2019 SMI stock ended at $5.41. During the day the stock fluctuated 0% from a day low at $5.41 to a day high of $5.41. |
90 days | $5.41 | $5.41 | |
52 weeks | $3.74 | $5.96 |
Date | Open | High | Low | Close | Volume |
Jun 04, 2019 | $5.63 | $5.64 | $5.53 | $5.63 | 480 241 |
Jun 03, 2019 | $5.82 | $5.84 | $5.73 | $5.80 | 749 020 |
May 31, 2019 | $5.92 | $5.96 | $5.89 | $5.96 | 856 139 |
May 30, 2019 | $5.80 | $5.88 | $5.79 | $5.88 | 841 554 |
May 29, 2019 | $5.73 | $5.75 | $5.64 | $5.71 | 715 945 |
May 28, 2019 | $5.80 | $5.83 | $5.67 | $5.82 | 2 549 533 |
May 24, 2019 | $5.21 | $5.30 | $5.11 | $5.24 | 1 664 102 |
May 23, 2019 | $5.56 | $5.56 | $5.48 | $5.50 | 225 493 |
May 22, 2019 | $5.70 | $5.76 | $5.65 | $5.70 | 479 475 |
May 21, 2019 | $5.44 | $5.48 | $5.39 | $5.43 | 421 490 |
May 20, 2019 | $5.39 | $5.47 | $5.35 | $5.42 | 639 064 |
May 17, 2019 | $5.05 | $5.10 | $5.01 | $5.01 | 159 463 |
May 16, 2019 | $5.11 | $5.14 | $5.06 | $5.10 | 79 134 |
May 15, 2019 | $5.16 | $5.22 | $5.15 | $5.21 | 91 615 |
May 14, 2019 | $5.05 | $5.09 | $5.00 | $5.09 | 152 899 |
May 13, 2019 | $5.02 | $5.08 | $4.95 | $4.97 | 224 483 |
May 10, 2019 | $5.16 | $5.21 | $5.10 | $5.21 | 159 348 |
May 09, 2019 | $5.11 | $5.13 | $5.01 | $5.08 | 237 365 |
May 08, 2019 | $5.22 | $5.42 | $5.16 | $5.31 | 255 425 |
May 07, 2019 | $5.27 | $5.28 | $5.10 | $5.10 | 247 573 |
May 06, 2019 | $5.33 | $5.41 | $5.26 | $5.38 | 253 073 |
May 03, 2019 | $5.74 | $5.79 | $5.60 | $5.75 | 468 189 |
May 02, 2019 | $5.37 | $5.41 | $5.31 | $5.35 | 136 540 |
May 01, 2019 | $5.34 | $5.38 | $5.23 | $5.23 | 69 359 |
Apr 30, 2019 | $5.34 | $5.35 | $5.25 | $5.33 | 100 643 |
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 SMI stock historical prices to predict future price movements?
Trend Analysis: Examine the SMI 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 SMI 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.