NASDAQ:ARTX
Delisted
Arotech Corporation Stock Price (Quote)
$3.00
+0 (+0%)
At Close: Apr 15, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.00 | $3.00 | Wednesday, 15th Apr 2020 ARTX stock ended at $3.00. During the day the stock fluctuated 0% from a day low at $3.00 to a day high of $3.00. |
90 days | $3.00 | $3.00 | |
52 weeks | $1.61 | $3.06 |
Date | Open | High | Low | Close | Volume |
Jun 01, 2016 | $2.68 | $2.68 | $2.68 | $2.68 | 202 497 |
May 31, 2016 | $2.75 | $2.75 | $2.75 | $2.75 | 228 593 |
May 27, 2016 | $2.69 | $2.69 | $2.69 | $2.69 | 97 425 |
May 26, 2016 | $2.73 | $2.73 | $2.73 | $2.73 | 142 733 |
May 25, 2016 | $2.78 | $2.78 | $2.78 | $2.78 | 76 846 |
May 24, 2016 | $2.75 | $2.75 | $2.75 | $2.75 | 101 850 |
May 23, 2016 | $2.73 | $2.73 | $2.73 | $2.73 | 98 575 |
May 20, 2016 | $2.76 | $2.76 | $2.76 | $2.76 | 171 808 |
May 19, 2016 | $2.67 | $2.67 | $2.67 | $2.67 | 282 663 |
May 18, 2016 | $2.74 | $2.74 | $2.74 | $2.74 | 264 098 |
May 17, 2016 | $2.94 | $2.94 | $2.94 | $2.94 | 341 690 |
May 16, 2016 | $2.88 | $2.88 | $2.88 | $2.88 | 453 500 |
May 13, 2016 | $3.01 | $3.01 | $3.01 | $3.01 | 320 490 |
May 12, 2016 | $3.15 | $3.15 | $3.15 | $3.15 | 276 858 |
May 11, 2016 | $3.20 | $3.20 | $3.20 | $3.20 | 442 912 |
May 10, 2016 | $3.09 | $3.09 | $3.09 | $3.09 | 1 041 166 |
May 09, 2016 | $3.76 | $3.76 | $3.76 | $3.76 | 714 090 |
May 06, 2016 | $3.54 | $3.54 | $3.54 | $3.54 | 332 060 |
May 05, 2016 | $3.67 | $3.67 | $3.67 | $3.67 | 339 964 |
May 04, 2016 | $3.55 | $3.55 | $3.55 | $3.55 | 336 796 |
May 03, 2016 | $3.49 | $3.49 | $3.49 | $3.49 | 170 016 |
May 02, 2016 | $3.63 | $3.63 | $3.63 | $3.63 | 554 284 |
Apr 29, 2016 | $3.62 | $3.62 | $3.62 | $3.62 | 316 034 |
Apr 28, 2016 | $3.73 | $3.73 | $3.73 | $3.73 | 380 294 |
Apr 27, 2016 | $3.91 | $3.91 | $3.91 | $3.91 | 468 022 |
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 ARTX stock historical prices to predict future price movements?
Trend Analysis: Examine the ARTX 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 ARTX 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.