NASDAQ:ESIO
Delisted
Electro Scientific Industries Fund Price (Quote)
$29.99
+0 (+0%)
At Close: Feb 15, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $29.95 | $30.02 | Friday, 15th Feb 2019 ESIO stock ended at $29.99. During the day the stock fluctuated 0% from a day low at $29.99 to a day high of $29.99. |
90 days | $28.61 | $30.02 | |
52 weeks | $13.92 | $30.02 |
Historical Electro Scientific Industries prices
Date | Open | High | Low | Close | Volume |
Feb 15, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 14, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 13, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 12, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 11, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 08, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 07, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 06, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 05, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 04, 2019 | $29.99 | $29.99 | $29.99 | $29.99 | 0 |
Feb 01, 2019 | $29.99 | $30.01 | $29.99 | $29.99 | 5 668 200 |
Jan 31, 2019 | $30.00 | $30.02 | $29.99 | $30.00 | 1 892 043 |
Jan 30, 2019 | $29.99 | $30.00 | $29.99 | $30.00 | 1 221 611 |
Jan 29, 2019 | $30.00 | $30.00 | $29.98 | $29.99 | 220 077 |
Jan 28, 2019 | $29.98 | $30.00 | $29.98 | $30.00 | 369 038 |
Jan 25, 2019 | $29.99 | $30.00 | $29.97 | $29.99 | 422 896 |
Jan 24, 2019 | $29.99 | $30.01 | $29.97 | $29.98 | 648 450 |
Jan 23, 2019 | $29.98 | $30.00 | $29.98 | $30.00 | 768 124 |
Jan 22, 2019 | $29.98 | $30.00 | $29.96 | $29.97 | 317 583 |
Jan 18, 2019 | $29.97 | $30.00 | $29.96 | $29.99 | 850 394 |
Jan 17, 2019 | $29.95 | $29.98 | $29.95 | $29.97 | 511 266 |
Jan 16, 2019 | $29.96 | $29.96 | $29.95 | $29.95 | 377 459 |
Jan 15, 2019 | $29.93 | $29.96 | $29.93 | $29.96 | 675 944 |
Jan 14, 2019 | $29.92 | $29.94 | $29.92 | $29.93 | 357 722 |
Jan 11, 2019 | $29.92 | $29.94 | $29.92 | $29.94 | 972 566 |
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 ESIO stock historical prices to predict future price movements?
Trend Analysis: Examine the ESIO 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 ESIO 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.